Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9885
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dc.contributor.authorSinha, Harshit-
dc.contributor.authorSingh, Tiratha Raj [Guided by]-
dc.contributor.authorMohana, Rajni [Guided by]-
dc.date.accessioned2023-09-08T10:50:30Z-
dc.date.available2023-09-08T10:50:30Z-
dc.date.issued2023-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9885-
dc.descriptionEnrolment No. 191305en_US
dc.description.abstractModern people suffer from various diseases due to their environment and lifestyle. This disease claims the lives of many people. As a result, predicting disease early becomes an important task. Many researchers have developed new techniques to predict disease early, before it's too late. This benefits both medicine and people. However, doctors find it difficult to make accurate predictions based on symptoms. The most difficult challenge is accurately predicting disease. Machine learning will play a key role in overcoming this problem by predicting disease. Medicine generates an enormous amount of data each year. Proper analysis of medical data benefits early patient care due to the increase in data in the medical and healthcare field. Machine learning algorithms use disease data to uncover pattern information hidden in vast amounts of medical data.en_US
dc.language.isoen_USen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectMachine learningen_US
dc.subjectChronic kidney diseaseen_US
dc.subjectK- nearest neighboren_US
dc.subjectDiabetesen_US
dc.titleDevelopment of Application For Bio -Medical and Health Data Using ML Approaches to Predict Health Conditionsen_US
dc.typeProject Reporten_US
Appears in Collections:B.Tech. Project Reports



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