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  • 标题:Prediction of Risk-Based Non-Contagious Diseases like Heart and Liver Using Supervised Machine Learning Algorithm
  • 本地全文:下载
  • 作者:K.DEEPTHI HARITHA ; K.KAVYA ; M.JAGADEESWARI
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2021
  • 卷号:9
  • 期号:7
  • 页码:8238-8246
  • DOI:10.15680/IJIRCCE.2021.0907064
  • 语种:English
  • 出版社:S&S Publications
  • 摘要:Our project “PREDICTION OF RISK-BASED NON-CONTAGIOUS DISEASES LIKE HEARTAND LIVERUSINGSUPERVISED MACHINE LEARNINGALGORITHMS”can be used by doctors or medical professionals to detect diseases in patients using the JUPITER Notebook. It is developed to predict the diseases such as Liver and Heart disease and also whether a person is suffering from that disease or not.Each of these diseases has different signs and symptoms among the patients. Different datasets are used in this project such as liver and heart datasets which are applied to the machine learning algorithms by this,we can get each algorithm accuracy which leads to decide where the person is suffering from liver or heart disease. For the classification calculation, Supervised Algorithmswe used in projectsuch as Decision Tree Algorithm, Random Forest Algorithm and Navie Bayes Algorithm.
  • 关键词:Machine Learning;Decision Tree Algorithm;Random Forest Algorithm;Naïve Bayes Algorithm;Heart and Liver Diseases
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