Open AccessAnalysis of machine learning algorithms in diabetes mellitus prediction
Author(s) -
Roshi Saxena,
Sanjay Kumar Sharma,
Manali Gupta
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1921/1/012073
Subject(s) - diabetes mellitus , machine learning , algorithm , artificial intelligence , computer science , precision and recall , recall , medicine , psychology , endocrinology , cognitive psychology
Diabetes mellitus is one of the enduring and lethal disease which is caused due to enlarged levels of glucose in the blood. Therefore, it’s quite necessary to predict the diabetes in its early stage. In this paper, we have studied machine learning algorithms to predict the diabetes. We have made use of PIMA Indians diabetes dataset and weka (a tool to implement machine learning algorithms) and predicted the precision, recall, accuracy, f-measure and receiver operating characteristics.