INTRODUCTION: for giving prescriptions. RESEARCH QUESTION: “Is there

INTRODUCTION:

Rural
healthcare is one of the biggest 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. 

An
extensive body of literature has documented the problem faced by rural
hospitals and other service providers. Because of a variety of elements contribute
to these problems in rural areas, including a declining population, economic
stagnation, shortage of physicians 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 via 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.