Julia Jurnal
Vol 1 No 01 (2021): Julia Jurnal

EARLY DETECTION OF DIABETES MELLITUS USING RANDOM FOREST ALGORITHM

Andri Triyono (Unknown)
Rahmawan Bagus Trianto (Unknown)
Dhika Malita Puspita Arum (Unknown)



Article Info

Publish Date
20 Jan 2021

Abstract

Diabetes mellitus is a deadly disease. Patients with this disease often do not realize that they are improving their diabetes mellitus. It is necessary to do early prevention in order to reduce the sudden death rate of people with diabetes mellitus. In addition, during the COVID-19 pandemic, which increases the risk of death for people with comorbid diabetes mellitus. A system model for the prediction of diabetes mellitus is needed for early diagnosis of this disease. By using machine learning techniques using the Random Forest algorithm and Information Gain can be used to predict diabetes mellitus. This model has a fairly high level of accuracy, which is 98.27%, precision is 97.69% and recall is 98%. 

Copyrights © 2021






Journal Info

Abbrev

1

Publisher

Subject

Computer Science & IT

Description

Julia is an open access journal. Readers may read, download, copy, distribute, print, search, or link to the full text of this article free of charge. All submitted papers will be peer reviewed before being accepted for publication. Authors who wish to submit manuscripts to Julia must follow the ...