Perbandingan Performansi Kinerja Algoritma Pengklasifikasian Terpandu Untuk Kasus Penyakit Kardiovaskular

Perbandingan Performansi Kinerja Algoritma Pengklasifikasian Terpandu Untuk Kasus Penyakit Kardiovaskular

One of the health problems that occur in Indonesia is the increasing number of NCD (Non-Communicable Disease) such as heart attack and cardiovascular disease. There are two factors that cause cardiovascular disease, i.e. factor that can be changed and cannot be changed. This study aim to analyze the...

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Bibliographic Details
Main Authors: Adi Nugroho, Agustinus Bimo Gumelar, Adri Gabriel Sooai, Dyana Sarvasti, Paul L Tahalele
Format: Article
Language:Indonesian
Published: Ikatan Ahli Indormatika Indonesia 2020-10-01
Series:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:
klasifikasi
penyakit kardiovaskular
algoritma k-nearest neighboar
stochastic gradient descent
random forest
neural network
logistic regression
Online Access:http://jurnal.iaii.or.id/index.php/RESTI/article/view/2316

Internet

http://jurnal.iaii.or.id/index.php/RESTI/article/view/2316

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