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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 485
Automated Medical Diagnosis for Colon Cancer & Chronic Kidney
Disease
Miss.P.Ooha1, Mrs.Dr.Nara Kalyani2
1M.Tech (CSE), G.Narayanamma Institution of Technology and Science, Hyderabad
2Proffesor, Department of CSE, G.Narayanamma Institute of Technology and science, Hyderabad
---------------------------------------------------------------------***----------------------------------------------------------------------
Abstract - Health problems are becomingmorecommonthan
ever in world today. Early detection of health abnormalities
helps to improve the lifestyle. The project aims to design a
“Automated Assistance for Medical Diagnosis” which is a tool
developed by using Rule based matching algorithm to predict
illness based on patient symptoms and test results. Various
Machine learning algorithms areimplementedtogetaccurate
results in detection of level of disease. This project aims at
identifying the chronic kidney disease&ColonCancerbased on
Patients Symptoms and test results. After the diagnosis it will
finally generates a report, containing the results of analysis.
Key Words: PythonQT, SQLite server, Pyuic(UI).
1. INTRODUCTION
Healthcare is a formidable challenge and therefore a
significant opportunity of the century. Access to human
expertise in the field of healthcare is clearly unable to scale
up to the need. There is a huge world population segment
that does not have access to proper healthcare. World
medical infrastructure is unfortunately not able to meet this
primary humanitarian objective. One oftheprimaryonesfor
its failure is the cost and availabilityofmedical expertise.We
therefore need an automated way of supplementing the
healthcare system. Chronic kidney disease [CKD (also called
chronic renal disease)] is a condition in which kidneys
gradually lose their function. If the kidney does not function
properly, this could cause waste and excess fluid
accumulation in the body, affecting its functionality, and
potentially leading to complications. The illnesscanadvance
to end-stage renal disease (complete kidney failure). This
occurs when function of the kidney is worsened to a point
Where dialysis or renal transplantation is necessary for
survival.
Chronic kidney disease (CKD) is the gradual and permanent
loss of kidney function over time, usually over the course of
months or years. The most commoncausesofchronickidney
disease also known as chronic renal disease — are diabetes
and high blood pressure. Approximately 2.6 million
individuals in US have chronic kidney disease, and millions
of others are at risk of developing the disease.
Colon cancer, also known as colorectal cancer, is thesecond-
leading cause of cancer deaths in both men and women.
Colon cancer is cancer of the big intestine (colon), which is
the final part of your digestive tract. Most cases of colon
cancer begin as small, noncancerous(benign)clumpsofcells
called adenomatous polyps. Over time some of these polyps
can become colon cancers.
According to the Centers for Disease Control (CDC), 51,783
Americans died from colon cancer during last year.
2. LITERATURE SURVEY OF VARIOUS PAPERS
As per Elizabeth Palermo, Chronic kidney disease (CKD) is
the gradual and permanentloss ofkidney functionovertime,
usually over the course of months or years. Kidneys are
responsible for filtering waste from the body. When these
organs stop functioning properly, waste builds up to high
levels in the blood, which canmakeapersonfeelsick[4].Over
time, other health complications can develop as a result of
decreased kidney function, including high blood pressure,
anemia (decreased red blood cells), weak bones, poor
nutritional health and nerve damage, according to the
National Kidney Foundation. The most common causes of
chronic kidney disease — also known as chronic renal
disease — are diabetes and high blood pressure, which are
responsible for up to two-thirds of all cases of the disease,
according to Dr.JosephVassalotti,chiefmedicalofficerforthe
National Kidney Foundation (NKF)[5]-[7]. These health
conditions damage the kidneys' small blood vessels,
diminishing that organ'sabilitytofiltermetabolicwastefrom
the blood. "As kidney disease advances and kidney function
declines, the likelihood of high blood pressure increases. So
kidney disease can be caused by high blood pressure, but
high blood pressurecan alsocomplicatekidney diseasefrom
other causes," as per Vassalotti.
However, early detection canhelp preventtheprogressionof
kidney disease to kidney failure, according to the National
Kidney Foundation. With good care, fewer than 10percentof
diabetics develop CKD, according to theNationalInstitutesof
Health (NIH). Signs & symptoms CKD is sometimes called a
"silent disease." Patients rarely feel sick until their kidney
disease is advanced, While diabetes and high blood pressure
are the leading causes of CKD, natural aging also puts people
at an increased risk of developing this chronic disease,
according to Vassalotti. "As we age, we tend to lose kidney
function — especially over age 50, and usually in men more
so than in women. Also as we age, we're more likely to
develop Type2 diabetes andhigh blood pressure,"Vassolotti
said. Most kidney diseases do not have a specific drug
treatment, according to Vassalotti,whosaidthatthefirstgoal
in treating kidney disease is to addresstheunderlyingcauses
of the disease and stop the disease from progressing. This
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 486
means treating conditions like diabetes and high blood
pressure. Patients with hypertension,orhighbloodpressure,
should take blood pressure medications and adopt a healthy
diet and exercise routine.Thosewithacuteinfections,suchas
a urinary tract infection,should be treatedwithantibioticsor
have any obstructions in the urinary tract removed,
according to the Mayo Clinic.As patients undergotreatments
for kidney disease or begin taking new medications, they
need to keep all of their doctors in the loop about what
medications and therapies they are using, according to
Vassalotti. "Many drugs are cleared by the kidney, so that
drug may need to be dose-adjusted because of decreased
kidney function or even avoided," Vassalotti said. Even over-
thecounter drugscan cause progressionofkidneydisease,he
added. Another important component of treating kidney
disease is screening patients with CKD for cardiovascular
disease. Though kidney and cardiovascular diseases affect
different parts of the body, many of the risk factors for these
conditions are the same and are also common, according to
Vassalotti, who said that highbloodpressure,type-2diabetes
and smoking are risk factors for both conditions. Many
studies have been published on the link between CKD and
cardiovascular disease, Vassalotti said. A recent overview of
the subject was published in the Journal ofNephropathology.
Colon Cancer: "Colon cancer is a growth in the colon that
usually arises from a polyp. Sometimes the polyps look like
stalks of cauliflower, sometimes they're flat," said[1]-[2] Dr.
Richard Goldberg, the physician-in-chief and a professor of
medicine at The OhioStateUniversityComprehensiveCancer
Center – James Cancer Hospital and Solve Research Institute.
"When they spread that'swhen[people]havelifethreatening
issues." Colon cancer, also known as colorectal cancer, is the
second-leading cause of cancer deaths in both men and
women. According to the Centers for Disease Control (CDC),
51,783 Americans died from colon cancer in 2011 (the most
recent year foravailable data)[3]. The disease affectsslightly
more men than women, and risk increases with age.
Excluding very rare types, colon cancer develops in the cells
lining the inside of the colon and/or rectum. The colon, or
large intestine, is a curving structure that continues the
digestion of food from the small intestine, absorbs liquid out
of the stool and carries it down to the rectum forelimination.
These factors include genetics, diet and health. Individuals
with a family history of colon cancer, especially if more than
one relative has had the disease, are at increased risk. Also,
two genetic syndromes, familial adenomatous polyposisand
Lynch syndrome, have been associated with colon cancer.
A diet rich in fat and red meat may increase disease risk.
Colon cancer is rare in countries where red meat is less
common on the menu. For instance, "Colon cancer is quite
rare in Japan, although it's becoming more common as their
diet becomes Westernized," Goldberg said. First-generation
Japanese immigrants who move to Hawaii noticeanuptickin
colon cancer rates, and "after a generation, the immigrants
adopt the incidence of their adopted country," Goldberg
said[9]-[11].Inaddition,heavyalcoholuseaswellassmoking
may contribute to a colon cancer diagnosis. Health factors
such as obesity, diabetes and lack of exercise are associated
with increased risk. Moreover, inflammatory disease suchas
other types of cancer or conditions such as ulcerative colitis
can increase the likelihood of developing coloncancer.These
risk factors, however, do not guarantee a diagnosis of colon
cancer. As with manycancers,coloncancerdevelopsfromthe
complex interplayofmanyfactors,andnotwoindividualsare
the same.In other words, earlier stages in which the canceris
small and localized may require less intervention.
Typically, surgery can effectively remove small tumors and
chemotherapy is prescribed to kill any remaining cells.
Chemotherapy drugs commonly used for colon cancer
include irinotecan, oxaliplatin, capacitabine and 5-
fluorouracil. More advanced cancers inwhichthediseasehas
metastasized, or spread, throughout larger areas ofthecolon
or to other parts of the body may require removal of whole
sections of the large intestine. Often, the remaining coloncan
be reconnected to the rectum, but if the cancer has also
reached the rectum, a colostomy may be needed[12]. In this
procedure,a surgeon createsan opening in theabdomenand
attaches a colostomy "bag." Waste collects in the bag instead
of passing through the rectum. Chemotherapy and radiation
are then prescribed to kill remainingcancercells,andcontrol
as much as possible the spread of the disease.
3. PROPOSED MODEL
”Automated Assistance for Medical Diagnosis” is a tool
developed using symptom based rule matching algorithm.It
is used to identify nature of an illness by examination of
symptoms and test results. Develop an automated tool to
diagnose the two diseases that is Chronic Kidney disease &
Colon Cancer, based on the symptoms and the results of
corresponding tests. Using Automated tool, it helps patients
to identify the disease at the early stages itself. Using
Automated tool patientscanstorethedetailsindatabase and
also the test results of the disease. Generates the report, to
provide the suggestions to the patients.
The project aims to design a “Automated Assistance for
Medical Diagnosis” is a tool developed usingsymptombased
rule matching algorithm to give suggestion to patient based
on his symptoms and test results. The main objectivesofthis
project are as follows: a. Collection of data from dataset
which is taken from the patients end point and processing
the gathered data. b. Machine learning algorithms are
implemented to get a productive and faithful detection of
level of disease. c. Analyze the data as Data analysis can able
to figure out multiple facets which indeed leads to better
results d. Generating the report and evaluate the
performance.
Modules:
Implementation of modules deals with prediction and
analysis. Hospital dataset used in the process. It performs
statistical observation on the dataset. Finally, prediction is
performed on the training dataset.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 487
The methodology contains the description about the
modules identified to fulfill the objectives.
1. Data Collection: Collecting the data required for
symptoms and test results of chronic kidney disease and
colon cancer to detect the disease by using Symptoms
permutation dataset.
2. Diagnose module:” Automated Assistance for Medical
Diagnosis” is a tool developed using symptom based rule
matching algorithm. It is used to identify nature of an illness
by examination of symptoms and test results.
3. Report module: It is used to generate the report and
provide suggestions to the patients.
4. ARCHITECTURE
”Automated Assistance for Medical Diagnosis” is a tool
developed using symptom based rule matching algorithm.It
is used to identify nature of an illness by examination of
symptoms and test results.
Rule based matching algorithm:
1. Start
2. Connect to database
3. Initialize the variables
4. Insert the data and compare them.
5. Check the test result if count > 0 consult specialist
immediately as +ve test results are present.
6. Check the test result if count == 0 and symptoms count >
5 consult specialist immediately as +ve symptoms are
present.
7. Check the test result if count == 0 and symptoms count <5
consult specialist not immediately.
Fig1: Flowchart for prediction
Random forest model:
Random forests or random choice forests are an ensemble
training program for classification, regression and other
activities that work by building a variety of decision trees at
training moment and producing a class that is the mode of
classes (classification) or mean prediction (regression) of
individual trees. Random decision forests are right for
decision trees' habit of overfitting to their training set.
Random Forests decrease the variance that may cause
mistakes in Decision Trees by aggregating the distinct
outputs of the individual Decision Trees. Through majority
voting, we can discover the average profit provided by most
of the individual Trees, thus smoothing out the variance so
that the model is less likely to produce outcomes further
away from the true values.
5. RESULTS AND DISCUSSIONS
”Automated Assistance for Medical Diagnosis” is a tool
developed using symptom based rule matching algorithm.It
is used to identify nature of an illness by examination of
symptoms and test results.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 488
6. CONCLUSIONS & FUTURE SCOPE
This project entitled “Automated system for the
identification of Chronic Kidney disease & Colon Cancer” is
useful to predict the diseases based on patient symptoms
and test results. The project use random forest algorithm
and rule based matching algorithm by comparing both the
algorithms Random forest algorithm generate accurate
results. This is very useful to the poor patients who can’t go
for regular medical checkups, because of high medical
expenses. As of now the system is considering only 10
symptoms and two test results for analyzing each disease.
This project can be improved further by considering more
machine learning algorithms and symptoms to detect the
disease accurately.
REFERENCES
[1] Maree,R.,Geurts,P.,Piater,J.,&Wehenkel,L(2005).Random
subwindows for robust image classification. Proc. IEEE
International Conference on Computer Vision and
Pattern Recognition (CVPR).
[2] Matas, J., &Obdrzalek, S. (2004). Object recognition
methods based on transformation covariant features.
Proc. 12th European Signal Processing Conference
(EUSIPCO 2004). Vienna, Austria.
[3] Mikolajczyk, K., &Schmid, C. (2005). A performance
evaluation of local descriptors. PAMI, to appear.
[4] Mikolajczyk, K., Tuytelaars, T., Schmid, C., Zisserman, A.,
Matas, J., Schaffalitzky, F., Kadir, T., &Gool,L.V.(2005).A
comparison of affine region detectors. International
Journal of Computer Vision,to appear.
[5] M. Goldbaum, S. Moezzi, A. Taylor, S. Chatterjee, J. Boyd,
E. Hunter, and R. Jain. Automated diagnosis and image
understanding with object extraction, object
classi_cation, and inferencing in retinal images. In
Proc.IEEEInternational ConferenceonImageProcessing
(ICIP), volume 3,pages 695-698, 1996
[6] Mohammed, O., Benlamri, R., & Fong, S. (2012,
December). Building a diseases symptoms ontology for
medical diagnosis: An integrative approach. In Future
Generation Communication Technology (FGCT),2012
International Conference on (pp. 104-108). IEEE.
[7] Pendyala, V. S., Fang, Y., Holliday, J., Zalzala, A., (2014,
October).A Text Mining Approach to Automated
Healthcare for the Masses.In Global Humanitarian
Technology Conference (GHTC), 2014 IEEE.
[8] Akay, M. F. (2009). Support vector machines combined
with featureselection forbreastcancerdiagnosis.Expert
systems with applications, 36(2), 3240-3247.
[9] Croft, D. J. (1972). Is computerized diagnosis possible?.
Computers and Biomedical Research,5(4),351-367.
[10] Pendyala, V. S., & Shim, S. S. (2009). The Web as the
Ubiquitous Computer. IEEE Computer, 42(9), 90-92.
[11] Stanton, I., Ieong, S., & Mishra, N. Circumlocution in
Diagnostic Medical Queries. Microsoft Research.
[12] Rodrguez, A., Mencke, M., Alor-Hernandez, G., Posada-
Gomez, R.,Gomez, J. M., & Aguilar-Lasserre, A. A. (2009,
February). Medboli: Medical diag- nosis based on
ontologies and logical inference. In eHealth,
Telemedicine, and Social Medicine, 2009.
eTELEMED’09.International Conference on (pp. 233-
238). IEEE.

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  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 485 Automated Medical Diagnosis for Colon Cancer & Chronic Kidney Disease Miss.P.Ooha1, Mrs.Dr.Nara Kalyani2 1M.Tech (CSE), G.Narayanamma Institution of Technology and Science, Hyderabad 2Proffesor, Department of CSE, G.Narayanamma Institute of Technology and science, Hyderabad ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - Health problems are becomingmorecommonthan ever in world today. Early detection of health abnormalities helps to improve the lifestyle. The project aims to design a “Automated Assistance for Medical Diagnosis” which is a tool developed by using Rule based matching algorithm to predict illness based on patient symptoms and test results. Various Machine learning algorithms areimplementedtogetaccurate results in detection of level of disease. This project aims at identifying the chronic kidney disease&ColonCancerbased on Patients Symptoms and test results. After the diagnosis it will finally generates a report, containing the results of analysis. Key Words: PythonQT, SQLite server, Pyuic(UI). 1. INTRODUCTION Healthcare is a formidable challenge and therefore a significant opportunity of the century. Access to human expertise in the field of healthcare is clearly unable to scale up to the need. There is a huge world population segment that does not have access to proper healthcare. World medical infrastructure is unfortunately not able to meet this primary humanitarian objective. One oftheprimaryonesfor its failure is the cost and availabilityofmedical expertise.We therefore need an automated way of supplementing the healthcare system. Chronic kidney disease [CKD (also called chronic renal disease)] is a condition in which kidneys gradually lose their function. If the kidney does not function properly, this could cause waste and excess fluid accumulation in the body, affecting its functionality, and potentially leading to complications. The illnesscanadvance to end-stage renal disease (complete kidney failure). This occurs when function of the kidney is worsened to a point Where dialysis or renal transplantation is necessary for survival. Chronic kidney disease (CKD) is the gradual and permanent loss of kidney function over time, usually over the course of months or years. The most commoncausesofchronickidney disease also known as chronic renal disease — are diabetes and high blood pressure. Approximately 2.6 million individuals in US have chronic kidney disease, and millions of others are at risk of developing the disease. Colon cancer, also known as colorectal cancer, is thesecond- leading cause of cancer deaths in both men and women. Colon cancer is cancer of the big intestine (colon), which is the final part of your digestive tract. Most cases of colon cancer begin as small, noncancerous(benign)clumpsofcells called adenomatous polyps. Over time some of these polyps can become colon cancers. According to the Centers for Disease Control (CDC), 51,783 Americans died from colon cancer during last year. 2. LITERATURE SURVEY OF VARIOUS PAPERS As per Elizabeth Palermo, Chronic kidney disease (CKD) is the gradual and permanentloss ofkidney functionovertime, usually over the course of months or years. Kidneys are responsible for filtering waste from the body. When these organs stop functioning properly, waste builds up to high levels in the blood, which canmakeapersonfeelsick[4].Over time, other health complications can develop as a result of decreased kidney function, including high blood pressure, anemia (decreased red blood cells), weak bones, poor nutritional health and nerve damage, according to the National Kidney Foundation. The most common causes of chronic kidney disease — also known as chronic renal disease — are diabetes and high blood pressure, which are responsible for up to two-thirds of all cases of the disease, according to Dr.JosephVassalotti,chiefmedicalofficerforthe National Kidney Foundation (NKF)[5]-[7]. These health conditions damage the kidneys' small blood vessels, diminishing that organ'sabilitytofiltermetabolicwastefrom the blood. "As kidney disease advances and kidney function declines, the likelihood of high blood pressure increases. So kidney disease can be caused by high blood pressure, but high blood pressurecan alsocomplicatekidney diseasefrom other causes," as per Vassalotti. However, early detection canhelp preventtheprogressionof kidney disease to kidney failure, according to the National Kidney Foundation. With good care, fewer than 10percentof diabetics develop CKD, according to theNationalInstitutesof Health (NIH). Signs & symptoms CKD is sometimes called a "silent disease." Patients rarely feel sick until their kidney disease is advanced, While diabetes and high blood pressure are the leading causes of CKD, natural aging also puts people at an increased risk of developing this chronic disease, according to Vassalotti. "As we age, we tend to lose kidney function — especially over age 50, and usually in men more so than in women. Also as we age, we're more likely to develop Type2 diabetes andhigh blood pressure,"Vassolotti said. Most kidney diseases do not have a specific drug treatment, according to Vassalotti,whosaidthatthefirstgoal in treating kidney disease is to addresstheunderlyingcauses of the disease and stop the disease from progressing. This
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 486 means treating conditions like diabetes and high blood pressure. Patients with hypertension,orhighbloodpressure, should take blood pressure medications and adopt a healthy diet and exercise routine.Thosewithacuteinfections,suchas a urinary tract infection,should be treatedwithantibioticsor have any obstructions in the urinary tract removed, according to the Mayo Clinic.As patients undergotreatments for kidney disease or begin taking new medications, they need to keep all of their doctors in the loop about what medications and therapies they are using, according to Vassalotti. "Many drugs are cleared by the kidney, so that drug may need to be dose-adjusted because of decreased kidney function or even avoided," Vassalotti said. Even over- thecounter drugscan cause progressionofkidneydisease,he added. Another important component of treating kidney disease is screening patients with CKD for cardiovascular disease. Though kidney and cardiovascular diseases affect different parts of the body, many of the risk factors for these conditions are the same and are also common, according to Vassalotti, who said that highbloodpressure,type-2diabetes and smoking are risk factors for both conditions. Many studies have been published on the link between CKD and cardiovascular disease, Vassalotti said. A recent overview of the subject was published in the Journal ofNephropathology. Colon Cancer: "Colon cancer is a growth in the colon that usually arises from a polyp. Sometimes the polyps look like stalks of cauliflower, sometimes they're flat," said[1]-[2] Dr. Richard Goldberg, the physician-in-chief and a professor of medicine at The OhioStateUniversityComprehensiveCancer Center – James Cancer Hospital and Solve Research Institute. "When they spread that'swhen[people]havelifethreatening issues." Colon cancer, also known as colorectal cancer, is the second-leading cause of cancer deaths in both men and women. According to the Centers for Disease Control (CDC), 51,783 Americans died from colon cancer in 2011 (the most recent year foravailable data)[3]. The disease affectsslightly more men than women, and risk increases with age. Excluding very rare types, colon cancer develops in the cells lining the inside of the colon and/or rectum. The colon, or large intestine, is a curving structure that continues the digestion of food from the small intestine, absorbs liquid out of the stool and carries it down to the rectum forelimination. These factors include genetics, diet and health. Individuals with a family history of colon cancer, especially if more than one relative has had the disease, are at increased risk. Also, two genetic syndromes, familial adenomatous polyposisand Lynch syndrome, have been associated with colon cancer. A diet rich in fat and red meat may increase disease risk. Colon cancer is rare in countries where red meat is less common on the menu. For instance, "Colon cancer is quite rare in Japan, although it's becoming more common as their diet becomes Westernized," Goldberg said. First-generation Japanese immigrants who move to Hawaii noticeanuptickin colon cancer rates, and "after a generation, the immigrants adopt the incidence of their adopted country," Goldberg said[9]-[11].Inaddition,heavyalcoholuseaswellassmoking may contribute to a colon cancer diagnosis. Health factors such as obesity, diabetes and lack of exercise are associated with increased risk. Moreover, inflammatory disease suchas other types of cancer or conditions such as ulcerative colitis can increase the likelihood of developing coloncancer.These risk factors, however, do not guarantee a diagnosis of colon cancer. As with manycancers,coloncancerdevelopsfromthe complex interplayofmanyfactors,andnotwoindividualsare the same.In other words, earlier stages in which the canceris small and localized may require less intervention. Typically, surgery can effectively remove small tumors and chemotherapy is prescribed to kill any remaining cells. Chemotherapy drugs commonly used for colon cancer include irinotecan, oxaliplatin, capacitabine and 5- fluorouracil. More advanced cancers inwhichthediseasehas metastasized, or spread, throughout larger areas ofthecolon or to other parts of the body may require removal of whole sections of the large intestine. Often, the remaining coloncan be reconnected to the rectum, but if the cancer has also reached the rectum, a colostomy may be needed[12]. In this procedure,a surgeon createsan opening in theabdomenand attaches a colostomy "bag." Waste collects in the bag instead of passing through the rectum. Chemotherapy and radiation are then prescribed to kill remainingcancercells,andcontrol as much as possible the spread of the disease. 3. PROPOSED MODEL ”Automated Assistance for Medical Diagnosis” is a tool developed using symptom based rule matching algorithm.It is used to identify nature of an illness by examination of symptoms and test results. Develop an automated tool to diagnose the two diseases that is Chronic Kidney disease & Colon Cancer, based on the symptoms and the results of corresponding tests. Using Automated tool, it helps patients to identify the disease at the early stages itself. Using Automated tool patientscanstorethedetailsindatabase and also the test results of the disease. Generates the report, to provide the suggestions to the patients. The project aims to design a “Automated Assistance for Medical Diagnosis” is a tool developed usingsymptombased rule matching algorithm to give suggestion to patient based on his symptoms and test results. The main objectivesofthis project are as follows: a. Collection of data from dataset which is taken from the patients end point and processing the gathered data. b. Machine learning algorithms are implemented to get a productive and faithful detection of level of disease. c. Analyze the data as Data analysis can able to figure out multiple facets which indeed leads to better results d. Generating the report and evaluate the performance. Modules: Implementation of modules deals with prediction and analysis. Hospital dataset used in the process. It performs statistical observation on the dataset. Finally, prediction is performed on the training dataset.
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 487 The methodology contains the description about the modules identified to fulfill the objectives. 1. Data Collection: Collecting the data required for symptoms and test results of chronic kidney disease and colon cancer to detect the disease by using Symptoms permutation dataset. 2. Diagnose module:” Automated Assistance for Medical Diagnosis” is a tool developed using symptom based rule matching algorithm. It is used to identify nature of an illness by examination of symptoms and test results. 3. Report module: It is used to generate the report and provide suggestions to the patients. 4. ARCHITECTURE ”Automated Assistance for Medical Diagnosis” is a tool developed using symptom based rule matching algorithm.It is used to identify nature of an illness by examination of symptoms and test results. Rule based matching algorithm: 1. Start 2. Connect to database 3. Initialize the variables 4. Insert the data and compare them. 5. Check the test result if count > 0 consult specialist immediately as +ve test results are present. 6. Check the test result if count == 0 and symptoms count > 5 consult specialist immediately as +ve symptoms are present. 7. Check the test result if count == 0 and symptoms count <5 consult specialist not immediately. Fig1: Flowchart for prediction Random forest model: Random forests or random choice forests are an ensemble training program for classification, regression and other activities that work by building a variety of decision trees at training moment and producing a class that is the mode of classes (classification) or mean prediction (regression) of individual trees. Random decision forests are right for decision trees' habit of overfitting to their training set. Random Forests decrease the variance that may cause mistakes in Decision Trees by aggregating the distinct outputs of the individual Decision Trees. Through majority voting, we can discover the average profit provided by most of the individual Trees, thus smoothing out the variance so that the model is less likely to produce outcomes further away from the true values. 5. RESULTS AND DISCUSSIONS ”Automated Assistance for Medical Diagnosis” is a tool developed using symptom based rule matching algorithm.It is used to identify nature of an illness by examination of symptoms and test results.
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 09 | Sep 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 488 6. CONCLUSIONS & FUTURE SCOPE This project entitled “Automated system for the identification of Chronic Kidney disease & Colon Cancer” is useful to predict the diseases based on patient symptoms and test results. The project use random forest algorithm and rule based matching algorithm by comparing both the algorithms Random forest algorithm generate accurate results. This is very useful to the poor patients who can’t go for regular medical checkups, because of high medical expenses. As of now the system is considering only 10 symptoms and two test results for analyzing each disease. This project can be improved further by considering more machine learning algorithms and symptoms to detect the disease accurately. REFERENCES [1] Maree,R.,Geurts,P.,Piater,J.,&Wehenkel,L(2005).Random subwindows for robust image classification. Proc. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR). [2] Matas, J., &Obdrzalek, S. (2004). Object recognition methods based on transformation covariant features. Proc. 12th European Signal Processing Conference (EUSIPCO 2004). Vienna, Austria. [3] Mikolajczyk, K., &Schmid, C. (2005). A performance evaluation of local descriptors. PAMI, to appear. [4] Mikolajczyk, K., Tuytelaars, T., Schmid, C., Zisserman, A., Matas, J., Schaffalitzky, F., Kadir, T., &Gool,L.V.(2005).A comparison of affine region detectors. International Journal of Computer Vision,to appear. [5] M. Goldbaum, S. Moezzi, A. Taylor, S. Chatterjee, J. Boyd, E. Hunter, and R. Jain. Automated diagnosis and image understanding with object extraction, object classi_cation, and inferencing in retinal images. In Proc.IEEEInternational ConferenceonImageProcessing (ICIP), volume 3,pages 695-698, 1996 [6] Mohammed, O., Benlamri, R., & Fong, S. (2012, December). Building a diseases symptoms ontology for medical diagnosis: An integrative approach. In Future Generation Communication Technology (FGCT),2012 International Conference on (pp. 104-108). IEEE. [7] Pendyala, V. S., Fang, Y., Holliday, J., Zalzala, A., (2014, October).A Text Mining Approach to Automated Healthcare for the Masses.In Global Humanitarian Technology Conference (GHTC), 2014 IEEE. [8] Akay, M. F. (2009). Support vector machines combined with featureselection forbreastcancerdiagnosis.Expert systems with applications, 36(2), 3240-3247. [9] Croft, D. J. (1972). Is computerized diagnosis possible?. Computers and Biomedical Research,5(4),351-367. [10] Pendyala, V. S., & Shim, S. S. (2009). The Web as the Ubiquitous Computer. IEEE Computer, 42(9), 90-92. [11] Stanton, I., Ieong, S., & Mishra, N. Circumlocution in Diagnostic Medical Queries. Microsoft Research. [12] Rodrguez, A., Mencke, M., Alor-Hernandez, G., Posada- Gomez, R.,Gomez, J. M., & Aguilar-Lasserre, A. A. (2009, February). Medboli: Medical diag- nosis based on ontologies and logical inference. In eHealth, Telemedicine, and Social Medicine, 2009. eTELEMED’09.International Conference on (pp. 233- 238). IEEE.