{"title":"Analytical Approach towards Prediction of Diseases Using Machine Learning Algorithms","authors":"Ayushi Grover, Anukriti Kalani, S. Dubey","doi":"10.1109/Confluence47617.2020.9058120","DOIUrl":null,"url":null,"abstract":"Healthcare is a human right and in this complex technology driven world, healthcare industry is equipped with modern technology for the solution of disease but struggles when it comes to prevent them beforehand. Machine learning can transform healthcare industry. Machine Learning provides a wide scope of apparatuses, strategies and structures to address difficulties like electronic record the executives, information combination, PC supported judgments and disease expectation. This research paper aims to predict disease accurately according to the symptoms of patients and helps doctor in better diagnosis, further reducing the cost of treatment and improving quality of life. It includes the comparative study of the outcomes and time required for analysis and prediction of disease by various machine learning algorithms and contribute towards research in healthcare department.","PeriodicalId":180005,"journal":{"name":"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/Confluence47617.2020.9058120","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Healthcare is a human right and in this complex technology driven world, healthcare industry is equipped with modern technology for the solution of disease but struggles when it comes to prevent them beforehand. Machine learning can transform healthcare industry. Machine Learning provides a wide scope of apparatuses, strategies and structures to address difficulties like electronic record the executives, information combination, PC supported judgments and disease expectation. This research paper aims to predict disease accurately according to the symptoms of patients and helps doctor in better diagnosis, further reducing the cost of treatment and improving quality of life. It includes the comparative study of the outcomes and time required for analysis and prediction of disease by various machine learning algorithms and contribute towards research in healthcare department.