Authors :
Nivethitha. A; Pramoth Krishnan. T; Narendran. G
Volume/Issue :
Volume 6 - 2021, Issue 6 - June
Google Scholar :
http://bitly.ws/9nMw
Scribd :
https://bit.ly/2TSNCYe
Abstract :
Disease Prediction exploitation Machine
Learning may be a system that predicts the illnesssupported data or the symptoms he/she enters into the
system and provides the prescription for that illness and
conjointly provides the correct results supported that
information. It's a system that provides the user the ideas
and tricks to keep up the health system of the user and it
provides how to seek out the illness exploitation this
prediction. From this technique by simply asking the
symptoms from the user and getting into within the
system and in precisely few seconds they'll tell the precise
and up to some extent the correct diseases. This illness
Prediction exploitation Machine Learning has totally
finished the assistance of Machine Learning and Python
artificial language with Tkinter Interface for it and
conjointly exploitation the dataset that's obtainable
antecedent by the hospital's exploitation that we are going
to predict the illness. The info entered by the user holds
on within the information.
Keywords :
Machine Learning, Symptoms based disease prediction, Python, Decision Tree, Random Forest, KNN, Naïve Bayes
Disease Prediction exploitation Machine
Learning may be a system that predicts the illnesssupported data or the symptoms he/she enters into the
system and provides the prescription for that illness and
conjointly provides the correct results supported that
information. It's a system that provides the user the ideas
and tricks to keep up the health system of the user and it
provides how to seek out the illness exploitation this
prediction. From this technique by simply asking the
symptoms from the user and getting into within the
system and in precisely few seconds they'll tell the precise
and up to some extent the correct diseases. This illness
Prediction exploitation Machine Learning has totally
finished the assistance of Machine Learning and Python
artificial language with Tkinter Interface for it and
conjointly exploitation the dataset that's obtainable
antecedent by the hospital's exploitation that we are going
to predict the illness. The info entered by the user holds
on within the information.
Keywords :
Machine Learning, Symptoms based disease prediction, Python, Decision Tree, Random Forest, KNN, Naïve Bayes
