In the world population of 7.9 billion nearly 422 million are suffering from Diabetes Mellitus and it cause 1.6 million death directly attribute to diabetes every year. This study mainly aims to determine how such death can be reduced and the main reason behind every death caused by Diabetes. The rise of insulin level also affects other parts of the body which causes major issues in the human body. Hypertension can cause insulin resistance by altering the delivery of insulin and glucose to skeletal muscle cells, resulting in impaired glucose uptake. Hypertension can impair vasodilation of skeletal muscle as a result of vascular structural changes and rarefaction, and increased response to vasoconstrictor stimuli. Artificial Intelligence play a vital role being a communicative progress for the human and the machine. Using AI in android mobile it analysis the mood, blood pressure, and through this it can calculate the blood sugar level and suggest the medication accordingly. The chatbot method help the person him/herself to analysis the solution for basic health problems such as Hypertension and increase in blood glucose level and the simple medication is instructed regularly. It specifically concentrate on the increased stress level of every individual. The existing method for diabetes concentrate on the various stages of disease. The result suggest that the implementation of Artificial Intelligence helps to overcome the raise in Blood pressure and Insulin control.

1. DIAGNOSIS TEST OF DIABETICS AND HYPERTENSION
BY ARTIFICIAL INTELLIGENCE
S.K.Priyadharshini, Dr.C.V.Sureshbabu,
3rd
year, B.Tech IT specilaizing in Cyber Security, Professor, Department of Information Technology,
Hindustan Institute of Technology and Science, Hindustan Institute of Technology and Science,
#1 IT Expressway, Bay Range Campus, Padur #1 IT Express way, Bay Range Campuss, Padur
Chennai- 603103, Tamilnadu, India Chennai 603103, tamilnadu, India.
Abstract - In the world population
of 7.9 billion nearly 422 million are
suffering from Diabetes Mellitus and it cause
1.6 million death directly attribute to diabetes
every year. This study mainly aims to
determine how such death can be reduced and
the main reason behind every death caused by
Diabetes. The rise of insulin level also affects
other parts of the body which causes major
issues in the human body. Hypertension can
cause insulin resistance by altering the
delivery of insulin and glucose to skeletal
muscle cells, resulting in impaired glucose
uptake. Hypertension can impair vasodilation
of skeletal muscle as a result of vascular
structural changes and rarefaction, and
increased response to vasoconstrictor stimuli.
Artificial Intelligence play a vital role being a
communicative progress for the human and
the machine. Using AI in android mobile it
analysis the mood, blood pressure, and
through this it can calculate the blood sugar
level and suggest the medication accordingly.
The chatbot method help the person
him/herself to analysis the solution for basic
health problems such as Hypertension and
increase in blood glucose level and the simple
medication is instructed regularly. It
specifically concentrate on the increased
stress level of every individual. The existing
method for diabetes concentrate on the
various stages of disease. The result suggest
that the implementation of Artificial
Intelligence helps to overcome the raise in
Blood pressure and Insulin control.
Keywords-: Artificial Intelligence. Diabetes,
Diagnosis, Hypertension, Insulin, Machine
Learning,
I. INTRODUCTION
Artificial intelligence (AI) has the potential of
detecting significant interactions in a dataset
and also it is widely used in several clinical
conditions to expect the results, treat, and
diagnose. Pre diagnosis of Diabetes by using
very simple method and personalized method
help us to know about our health condition
frequently. It helps to upgrade our nation
specializing the medical field and improvising
the level of usage of Artificial Intelligence in
more efficient way. This method uses Machine
learning to analysis the user need and deliver the
solution required. Machine learning is used in
the field of Artificial
Intelligence, it gives computers the ability to
learn without being explicitly programmed”.
It mainly focus on the development of computer
that can access data and learn by themselves. The
same algorithm is used here. The basic diabetes

2. diagnosis feature in the android application
receive the need of the user and provide response
to their need.
II PRIMARY OBJECTIVE:
By the use Artificial Intelligence the level of the
blood Pressure is detected and the primary
counselling for the initial stage of diabetes.
III SECONDARY OBJECTIVES
1. To avoid the critical stage of diabetes.
2. To follow regular medication.
3. To have a flow check-up approximately
4. To reduce the death caused by diabetes
5. To build a healthy society.
6. Identify and control over the type I
diabetes which easy to cure.
7. Not only Diabetes it may pave way for
other diseases.
IV REVIEW OF LITERATURE
A 69-year-old man with a 5-year history of type
2 diabetes. Although he was diagnosed in 1997,
he had symptoms indicating hyperglycemia for 2
years before diagnosis. He had fasting blood
glucose records indicating values of 118–127
mg/dl, which were described to him as indicative
of “borderline diabetes.” He also remembered
past episodes of nocturia associated with large
pasta meals and Italian pastries. Advanced
practice nurses are ideally suited to play an
integral role in the education and medical
management of people with diabetes.15 The
combination of clinical skills and expertise in
teaching and counseling enhances the delivery of
care in a manner that is both cost-reducing and
effective. Inherent in the role of advanced
practice nurses is the understanding of shared
responsibility for health care outcomes. This
partnering of nurse with patient not only
improves care but strengthens the patient’s role
as self-manager for clinical nurse specialists,
nurse practitioners, RDs, and registered
pharmacists,4 conducted in 2000 by the
American Nurses Credentialing Center, reported
equal findings among all four groups for the
skills used to identify pathophysiology, analyze
diagnostic tests, and list problems. Assessment
for medical nutrition therapy typically includes
evaluation of food intake, metabolic status,
lifestyle, and readiness to change. For people
with diabetes, monitoring glucose and
measuring hemoglobin A1c (A1C), lipids, blood
pressure, and renal status are essential to
evaluating nutrition-related outcomes.
V THE PROBLEMS AND SOLUTIONS
FOR EXISTING METHODOLOGY:
 Sugar level in the blood is tested only
after some basic symptoms.
 The medication is strenuous for the
patients to follow at the several stage of
Diabetes.
 Food management is hilarious and the
weight loss process need much effort.
 By sensing the Blood Pressure daily all
the disease can be cured at very early
stage.
VI PROPOSED METHODOLOGY:
Artificial Intelligence and Machine Learning
hold to gather and form the sensor to sense the
Blood Pressure and provide the medication at a
minimum level. The Sugar level in the blood can
be analysis with a drop of blood through clinical
testing named as The A1C test is a blood test
that measures the average levels of blood
glucose, often known as blood sugar,
All diabetics should keep their blood pressure
below 140/90 mm Hg, and most should keep it
around 135/85 mm Hg. For people with the
highest cardiovascular risk, blood pressure
should be closer to, but not below, 130/80 mm
Hg. The raise in Blood Pressure may lead to
increase in blood sugar level which cause
Diabetes Mellitus Type 1.
In2017, the Centers for Disease Control and
Prevention (CDC) released the National
Diabetes Statistic Report, which revealed that
30.3 million people in the United States have
diabetes, of which 23.1 million are diagnosed
and 7.2 million remain undiagnosed.
The American Diabetes Association models of
therapeutic care in diabetes released a paper in
2018 titled "Order and finiteness in diabetes."
(Sneha, 2019)

3. VII INFLUENCE OF AI
Artificial intelligence and Machine Learning
helps to clear the question for all group of people
by which the user Him/herself can chit chat the
health issues they have. No need of
appointments and consultation fees in case of
minor health issues. This feature is user friendly
so minimum knowledge is absolutely enough.
While using this feature the user has to fill the
required details such as “Name”; “Age”; “Health
issues they have been gone through previously”.
This Minimum information helps to analysis the
basic health condition and the regular
medication. The result of the need is explained
by vocal in any language which is
understandable by the user. This method of
transmitting is very important because not every
individual can understand the text. This simple
diagnosis method is applicable to many minor
disease such as “Heart beat analyser” “Cancer
detector” etc.
VIII HARDWARE REQUIREMENTS
RAM – 128 GB DDR4 2133 MHz. 2 TB
Hard Disk (7200 RPM) + 512 GB
SSD. GPU – NVidia TitanX Pascal (12 GB
VRAM) Intel Heatsink
SOFTWARE REQUIREMENTS
Google AI Platform – Tensorflow and kubeflow
IBM Watson- Chatbot to full AIOps
functionality
IX EXPLANATORY CHART
Figure 1: chat bot system
X ADVANTAGES & DISADVANTAGES
The Advantage of this method is to
suggest medication prior to the major disease.
This method helps to prevent the Hypertension
through chatbot and provide the relief from daily
stress. Every man made features have
disadvantage in that case the main disadvantage
is this feature can calculate only the
Hypertension level which cause the Diabetes
indirectly and through which the insulin level
cannot be determined.
XI CONCLUSION
This research establish the drawback of clinical
testing and the regular medical check-up that all
people around the world could not follow. By
implementing
Artificial Intelligence, it direct us the efficient
way to control majority of health issues by
detecting at a early stage. Since this method is
user friendly, people from any age group can
gain knowledge to access this feature. Artificial
Intelligence help to upgrade our nation’s
Educational and Medical system to the next
level.
XII. ACKNOWLEDEMENT
We thank all of our faculty members of our
Department, our classmates and other
anonymous reviews for their valuable comments
on our draft paper.
XIII DISCLOSURE STATEMENT
No potential conflict of interest was reported by
the authors.
:
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