Human Disease Prediction Using Machine Learning

Human Disease Prediction Using Machine Learning

Prof. Arunadevi khaple1,Mayur Mane2,Suyash Jadhav3, Pratik Gawas4, Rajesh Patil5

1Assistant Professor, Department of Computer Engineering, ZCOER

2345Final year Student,Computer Department, ZCOER

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Abstract - One such execution of machine learning algorithms is in the field of Hospitality. Medical resources need to be advanced so that better decisions for sufferer therapy and therapy options can be made. Machine learning in Hospitality aids humans to process huge and complex medical datasets and then analyzing them into clinical insights. This then can further be used by doctors in providing medical care. Hence machine learning when executed in Hospitality can leads to increased sufferer satisfaction. in this paper, we try to implement functionalities of machine learning in Hospitality in a single system. instead of therapy, when a disease prediction is executed using certain machine learning predictive algorithms then Hospitality can be made smart. Some cases can occur when early therapy for a disease is not within reach. Hence disease prediction can be successfully executed. As widely said “Prevention is better than cure”, prediction of diseases and the epidemic outbreaks would lead to early prevention of an occurrence of a disease. This paper mainly focuses on the development of a system or we could say an immediate medical provision that would incorporate the symptoms collected from multi-sensory devices and other medical data and store them into a Hospitality dataset. This dataset would then be analyzed using Naive Bayes machine learning algorithms to deliver results with maximum accuracy.

Key Words:  Big Data, Hospitality, Machine learning, Naive Bayes algorithm, etc.