INTRODUCTION: intelligent Machine Learning and Data Mining techniques, we

INTRODUCTION:

Rural
healthcare is one of the colossal challenges facing by the world and also in
India by the Health Ministry. With more than 70 per cent population living in
rural areas and low level of health facilities, mortality rates due to diseases
are on a high. The death rate of children under age 1 has increased by 16 per
cent from 2011 to 2015 in India.

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This
research will definitely help the nation to understand the above mentioned
issue. Also provide a relevant and feasible solution.

By
using intelligent Machine Learning
and Data Mining techniques, we can
easily provide Remote Healthcare
Assitance .

PROBLEM  STATEMENT:

Rural
and remote communities have long struggled to maintain access to quality health
care services. 

A
pervasive body of literature has recorded the problem faced by hospitals in
rural areas and other services providers. Because a large range of factors
contribute to these problems in rural outland areas, including an economic
stagnation, declining population, scarcity of doctors and other health care
professionals.        

RESEARCH
OBJECTIVE:

Digital
Healthcare makes use of
Smart & Intelligent technology and
delivers instant timely and efficient
healthcare services to patients.

Firstly,
we will try to get closer to the problem by way of going through these
questions:

1.    
What is the problem?

2.    
Why is it important?

3.    
Where does this problem affect the
most?

4.    
Who does it impact the most?

5.    
How will the solution to the
problem implemented?

Machine
Learning (ML)
programs help us in patient monitoring
& keeping a real-time follow-up of
their health status. This technique is also capable of suggesting prescriptions. For learning purpose machines will be
installed in the Doctor’s cabin and then a Knowledge
Base is maintained for giving prescriptions.

RESEARCH
QUESTION:

“Is
there no need of an Intelligent Innovative Solution to the problem of Rural
Healthcare?  ”

Before
the conditions in rural areas will get more worst, so it is the need of the
hour to implement this Research’s Innovative Outcome into real life.

 

 

 

 

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