Application of Random Forest Algorithm with Information Gain Feature Selection for Baby Birth Weight Classification-Reference-Cited by-同舟云学术

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Application of Random Forest Algorithm with Information Gain Feature Selection for Baby Birth Weight Classification

Published:2024-07-17 Issue: Volume:3 Page:203-208
ISSN:
Container-title:2024 7th International Conference on Informatics and Computational Sciences (ICICoS)
language:
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Author:

Kholidawafi Nur Salma¹,Suryani Esti¹,Salamah Umi¹

Affiliation:

1. Universitas Sebelas Maret,Informatika, Fakultas Teknologi Informasi dan Sains Data,Surakarta,Indonesia

Funder

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10636850/10636819/10636854.pdf?arnumber=10636854

Reference26 articles.

1. Neonatal mortality - UNICEF DATA,2021

2. Newborn Mortality,2022

3. Profil Kesehatan Indonesia Tahun 2021,2022

4. Pedoman Nasional Pelayanan Kedokteran Tata Laksana Tindakan Resusitasi, Stabilisasi, dan Transpor Bayi Berat Lahir Rendah,2018

5. Profil Kesehatan Indonesia Tahun 2019,2020

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