Authors :
Amal S, Athira Lagi, Thomas Kuruvilla, Leya Elizabeth Sunny
Volume/Issue :
Volume 5 - 2020, Issue 4 - April
Google Scholar :
https://goo.gl/DF9R4u
Scribd :
https://bit.ly/3f079vZ
Abstract :
The project builds a complete computerized
health- care system embedded with machine learning
applications. A patient’s health data are generally stored
in a centralized third party, such as the hospital
database or cloud, and make users lose control of their
health data, which can easily result in privacy leakage.
So here we propose a healthcare system which is
focused on the complete computerization of healthcare
with the help of a unique Medical Card available to
every person. Electronic Medical Records(EMRs) are
used for storing medical diagnosis and prescription
details of patients. The EMRs of a patient lets doctors
know about the complete medical history of their patients. This Health Chain can be integrated with
machine learning for applications like disease
prediction, doctor recommendation. Disease prediction
is all about predicting diseases based on earlier
symptoms of a patient while doctor recommendation
finds out the best and nearby doctors a person should
consult based on his/her disease.The system also has a
COVID’19 chatbot which interviews the user and
predicts his/her probability of being affected with the
disease and suggest necessary actions to take.
Keywords :
Decision Tree, Sentimental Analysis, Naive Bayes Algorithm, K-fold Cross Validation.
The project builds a complete computerized
health- care system embedded with machine learning
applications. A patient’s health data are generally stored
in a centralized third party, such as the hospital
database or cloud, and make users lose control of their
health data, which can easily result in privacy leakage.
So here we propose a healthcare system which is
focused on the complete computerization of healthcare
with the help of a unique Medical Card available to
every person. Electronic Medical Records(EMRs) are
used for storing medical diagnosis and prescription
details of patients. The EMRs of a patient lets doctors
know about the complete medical history of their patients. This Health Chain can be integrated with
machine learning for applications like disease
prediction, doctor recommendation. Disease prediction
is all about predicting diseases based on earlier
symptoms of a patient while doctor recommendation
finds out the best and nearby doctors a person should
consult based on his/her disease.The system also has a
COVID’19 chatbot which interviews the user and
predicts his/her probability of being affected with the
disease and suggest necessary actions to take.
Keywords :
Decision Tree, Sentimental Analysis, Naive Bayes Algorithm, K-fold Cross Validation.
