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Machine Learning-based Web Application for Early Diagnosis of Diabetes
Author(s) -
Hamayoun Shahwani
Publication year - 2020
Publication title -
journal of applied and emerging sciences
Language(s) - English
Resource type - Journals
eISSN - 2415-2633
pISSN - 1814-070X
DOI - 10.36785/jaes.102418
Subject(s) - random forest , naive bayes classifier , diabetes mellitus , support vector machine , disease , machine learning , artificial intelligence , logistic regression , benchmark (surveying) , computer science , decision tree , web application , medicine , identification (biology) , intensive care medicine , bioinformatics , world wide web , biology , botany , geodesy , geography , endocrinology

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