Smart healt disease prediction system
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Date
2021-05
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Publisher
AIKTC
Abstract
We are living in an era where technology is advancing at unprecedented rate.
Nowadays, Artificial Intelligence and Machine Learning are used in every domain
wherein machines or computers are being trained to work automatically with very
less human efforts. Machine Learning Algorithms are very useful in prediction,
analysis and training. We will use ML Algorithms in predicting and analysis of
various diseases in human beings. Health is one of the precious asset for a human
being but due to the ongoing pandemic people can’t recognize and treat their diseases
from their home so we are aiming to develop a disease prediction system using
ML Algorithms for better prediction of diseases by providing their symptoms to
recognize the diseases more precisely with its consequences and treatment with the
ease of using it at their own comfort zone. We are developing this system also
because people can consult with their respective doctors via live consultation without
physical contact.
Our interface would help people to some extent in-order to reduce the risk associated
with predicted diseases to reduce the impact on other body parts. With the help
of extensive powerful ML Algorithms accuracy is highest. People can also maintain
safety protocols in this pandemic by predicting the diseases from their home.
Keywords: Scikit-learn, NumPy, Data Preprocessing, Dataset, Algorithms, Training
Data, Training Set, Machine Learning, Naive Bayes, KNN, Decision Tree, Kernel
SVM, Logistic Regression, Random Forest, Django, Training Model,Web Module,
Data Collection Module, APIs, Artificial Intelligence, Disease Detection Module,
Authentication, User Interface, SHDPS.
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