Authors :
Ayush Sanklecha, Gowtham L, Harshitha D J, Krishna B M, Poornima N.
Volume/Issue :
Volume 4 - 2019, Issue 3 - March
Google Scholar :
https://goo.gl/DF9R4u
Scribd :
https://goo.gl/jZcxAe
Thomson Reuters ResearcherID :
https://goo.gl/KTXLC3
Abstract :
Health is very important to each and every person on this world no matter where the individual is from. People at distant places with lack of medical assistance and cities with high demand of medications need quick and affordable medical assistance with higher accuracy. A few health issues can be resolved by themselves with a considerable amount of legit assistance. If technology can help them solve those problems, it’ll help people to save time with reduced effort. Everyone who uses internet and technology can do self-checking of their health based on certain symptoms with their queries. It can help in prediagnosing the possible diseases and provide alerts on the risks and help prevent it.
Keywords :
Machine Learning, Decision Tree, Random Forest, Naive Bayes, KNN.
Health is very important to each and every person on this world no matter where the individual is from. People at distant places with lack of medical assistance and cities with high demand of medications need quick and affordable medical assistance with higher accuracy. A few health issues can be resolved by themselves with a considerable amount of legit assistance. If technology can help them solve those problems, it’ll help people to save time with reduced effort. Everyone who uses internet and technology can do self-checking of their health based on certain symptoms with their queries. It can help in prediagnosing the possible diseases and provide alerts on the risks and help prevent it.
Keywords :
Machine Learning, Decision Tree, Random Forest, Naive Bayes, KNN.