A study on “Diagnosis Test of Diabetics and Hypertension by AI”, Presentation slides for International Conference on "Life Sciences: Acceptance of the New Normal", St. Aloysius' College, Jabalpur, Madhya Pradesh, India, 27-28 August, 2021

1. DIAGNOSIS TEST OF
DIABETICSAND
HYPERTENSION BY
ARTIFICIAL
INTELLIGENCE
S.K.Priyadharshini-UG Student,Hindustan University
Dr.C.V.Suresh Babu-Professor,Hindustan University

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Agenda:
• Abstract
• Objectives
• Introduction
• Methodology
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Agenda:
• Abstract
• Objectives
• Introduction
• Methodology
• Influence of AI
• Chatbot
• Requirements
• Conclusion
• Reference
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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
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Objective:
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.
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.
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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
diagnosis feature in the android application
receive the need of the user and provide response
to their need.
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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.
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Result* A1C Test
Diabetes 6.5% or above
Pre-diabetes 5.7 – 6.4%
Normal Below 5.7%

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Influence OfAI:
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.
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Bar Chart:
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CHATBOT:
A chatbot learns simply by recognizing
repetitive patterns during conversations
it has with humans combined with pre-
determined chat scripts and a database
of answers for responses.
Long short-term memory (LSTM) is
an artificial recurrent neural
network (RNN) architecture used in the
field of deep learning. ... Relative
insensitivity to gap length is an
advantage of LSTM over RNNs, hidden
Markov models and other sequence
learning methods in numerous
applications.
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REQUIREMENTS:
RAM – 128 GB DDR4 2133 MHz. 2TB
Hard Disk (7200 RPM) + 512 GB
SSD. GPU – NVidiaTitanX Pascal (12 GB
VRAM) Intel Heatsink
SOFTWARE REQUIREMENTS
Google AI Platform –Tensorflow and
kubeflow
IBMWatson- Chatbot to full AIOps
functionality
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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.
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REFERENCE:
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GWENOLÉQUELLECAHASSANAL
HAJJBAMATHIEULAMARDBAPIERRE-
HENRICONZECAPASCALEMASSINDBÉATRICECOCHENERBAE
EXPLANATORY ARTIFICIAL INTELLIGENCE FOR DIABETIC
RETINOPATHY DIAGNOSIS
RUOCONGYANGA1CHAOLIUB1QIANQIANLIA1WEILUWANGABI
NGBINGWUBAIPINGCHENABINWANGCWEILIBJIANXINCHENA
ARTIFICIAL INTELLIGENCE BASED IDENTIFICATION OF THE
FUNCTIONAL ROLE OF HIRUDIN IN DIABETIC ERECTILE
DYSFUNCTION TREATMENT
BALAPRABHAKARRISHI KUMARSINGHKHUSHWANT
S.YADAV ARTIFICIAL INTELLIGENCE (AI) IMPACTING
DIAGNOSIS OF GLAUCOMA AND UNDERSTANDING THE
REGULATORY ASPECTS OF AI-BASED SOFTWARE AS MEDICAL
DEVICE

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MickeyScheinowitzRajbabuPakalaItsikBen-
DorGillesLemesleRebeccaTorgusonAugusto
D.PichardJosephLindsayRonWaksman
PLATELET REACTIVITY IN DIABETIC PATIENTS SUBJECTED TO
ACUTE EXERCISE STRESS TEST
Louis J.Catania
AI APPLICATIONS IN DIAGNOSTIC TECHNOLOGIES
AND SERVICES
M.A.AnsariaRajatMehrotraaPragatiTripathiaRajeevAgrawa
AI-BASED DIAGNOSIS TECHNIQUES FOR CARDIAC DISEASE
ANALYSIS AND PREDICTIONS
NashatMaheraG.A.ElsheikhbW.R.AnisaTamerEmarac
ENHANCEMENT OF BLOOD PRESSURE ESTIMATION
METHOD VIA MACHINE LEARNING

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ThankYou
S.K.PRIYADHARSHINI
HINDUSTAN UNIVERSITY
19134022@student.hindustanuniv.ac.in
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