The document discusses diabetes mellitus type 2, including its definition as a metabolic disease caused by insulin resistance or deficiency resulting in high blood sugar, common symptoms like those of type 1 diabetes but without ketoacidosis, and management through proper diet, exercise, medication and monitoring of blood sugar and cholesterol levels to control complications affecting eyes, kidneys, nerves, heart and blood vessels.
A complete knowledge about Diabetes Mellitus and its types including Type 1 Diabetes, Type 2 diabetes, gestational diabetes, pancreatic diabetes & monogenic diabetes along with clinical features, investigations and management
It also includes diabetic emergencies like Diabetic Ketoacidosis, Hyperglycaemic hyperosmolar state & hypoglycaemia.
It contains long term complications like neuropathy, nephropathy and retinopathy.
Lastly Diabetic Insipidus is also discussed here.
Diabetes mellitus refers to a group of diseases that affect how the body uses blood sugar (glucose). Glucose is an important source of energy for the cells that make up the muscles and tissues. It's also the brain's main source of fuel.
A complete knowledge about Diabetes Mellitus and its types including Type 1 Diabetes, Type 2 diabetes, gestational diabetes, pancreatic diabetes & monogenic diabetes along with clinical features, investigations and management
It also includes diabetic emergencies like Diabetic Ketoacidosis, Hyperglycaemic hyperosmolar state & hypoglycaemia.
It contains long term complications like neuropathy, nephropathy and retinopathy.
Lastly Diabetic Insipidus is also discussed here.
Diabetes mellitus refers to a group of diseases that affect how the body uses blood sugar (glucose). Glucose is an important source of energy for the cells that make up the muscles and tissues. It's also the brain's main source of fuel.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
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Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
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2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
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Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
1. BIOCHEMISTRY ASSIGNMENT
TOPIC-Diabetes Mellitus type -2
Submitted To,
Mr.Shubham Meshram
Department Of Child Health Nursing
Tutor/CI
DMCON
Submitted By,
Purvaja Chapekar
B.S.c Nursing 1st Year2021
Roll No -04
DMCON
3. Introduction
Diabetes mellitus is a syndrome of impaired
carbohydrates,fat and protein metabolism,caused by
either:-
-Lack of insulin secretion
-Decreased sensitivity of the tissues to insulin
(decrease response to stimuli)
4. Definition
Diabetes mellitus is a metabolic disease
characterized by hyperglycemia,caused by
inherited and acquired defects in insulin
secretion and insulin action.
5. Symptoms
In type -2 diabetes mellitus,the symptoms are
developed gradually which are similar to that
of type 1 expect ketoacidosis.is usually not
present in type 2 diabetes mellitus.
6. Complications
Diabetes complications can be divided as acute and chronic
complications.The complications of diabetes mellitus are less
common and less severe in people who have well-controlled blood
sugar levels.
1.Acute complications
a) Diabetic Ketoacidosis (DKA)is generally seen due to low insulin
levels, which favors lipolysis in adipose tissue. Increased lipolysis
leads to increased mobilization of fatty acids from adipose tissue to
liver,where they are converted to ketone bodies.
7. b)Hyperglycemia-The lack of insulin activity in diabetes
mellitus results in failure of transfer of glucose from the
blood into cells and leads to hyperglycemia.
c) Diabetic Ketoacidotic coma- The combined result of
severe Ketoacidosis, hyperglycemia and hyperosmolarity
and electrolytes , disturbance impaired cerebral function,
producing diabetic Ketoacidotic coma.
8. 2. Chronic Complications
a) Microvascular complications include damage to eyes (
retinopathy)leading to blindness , to kidneys ( nephropathy)
leading to renal failure and to nerves ( neuropathy) leading to
impotence and diabetic foot disorders ( which include several
infections leading to amputation.)
b) Macrovascular complications include cardiovascular diseases such
as heart attacks , strokes and insufficiency in blood flow to legs.
9. Investigation
1.Urine Testing
Urine tests can be used for diagnosing and monitoring diabetes.In
diabetes,urine is tested for the presence of three parameters.
a) Glucose Test-Glucose is not normally found in urine,but it can
pass from the kidneys into the urine in people who have
diabetes.
b) Ketone Test-This test detects the presence of ketones in urine.
Ketones are formed from fatwhen there is insufficient insulin to
allow glucose to be used for fuel.
10. c) Microalbumin test –it is a type of protein in the urine. Protein is
present in the urine when there is a damaged to the kidneys. Since the
damage to blood vessels that occurs as a complication of diabetes.
11. Blood sugar testing with a glucose metre
Glucose metre is a portable electronic device for
determining to approximate concentration of glucose in
the blood.
Glycated hemoglobin estimation
Glycated hemoglobin is the form of hemoglobin that is
bound to glucose. The blood test for HbAlc Level is
routinely performed in people with type 2 diabetes
mellitus. Levels of 6.5 % or higher mean you have diabetes.
12. Glucose tolerance test
The glucose tolerance test is the ability of the body to utilise glucose.
Indicated by type of blood glucose curve after administration of
glucose.
Types of glucose tolerance test
1)Oral GTT (OGTT)
2) Intravenous GTT (IVGTT)
Types of glucose tolerance curve
1. Normal glucose tolerance curve
2. Normal glucose tolerance curve
-diminished glucose tolerance
-increased glucose tolerance
13. Glucose tolerance test performed in specific condition in diabetes
1. Extended GTT
2. Mini GTT
3. GCT( glucose challenge test)
14. Management
There is no cure aur for diabetes , but it can be treated and
controlled. Ideally , the initial management of NIDDM is based
on dietary therapy combined with increased physical activity, if
possible. However oral hypoglycemic drugs or insulin maybe
given in the presence of marked hypoglycinemia.
The goals of managing diabetes are two
1. Keep blood glucose level as near to normal as possible by
proper diet with medication and regular exercise.
2. Maintain blood cholesterol and triglyceride (lipid) levels as
near the normal range as possible.
15. 3.Control blood pressure , blood pressure should not go over 140/90.
4. People with diabetes must take responsibility for their day to day
care. This includes monitoring blood glucose levels, dietary
management, maintaining physical activity, keeping weight and stress
under control, monitoring oral medications.
16. Summary
So, here we discussed about definition ,symptoms,
complication,investigation and management of diabetes mellitus type 2
17. Conclusion
Diabetes is a slow killer with no non curable treatments. However,its
complications can be reduced through proper awareness and timely
treatment.
18. Questions
1. Define diabetes mellitus
2. Enlist symptoms of diabetes mellitus type 2
3. Describe complications of diabetes mellitus
4. ExplainManagement of diabetes mellitus
5. Enumerate investigation’s test