Feature Weighting Optimization: Genetic Algorithms and Random Forest for Classification of Pregnant Potential Risk-Reference-Cited by-同舟云学术

Feature Weighting Optimization: Genetic Algorithms and Random Forest for Classification of Pregnant Potential Risk

Published:2022-11-10 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Information Technology Research and Innovation (ICITRI)
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Author:

Ramdhani Yudi¹,Maulidia Dea²,Setiadi Ahmad³,Alamsyah Doni Purnama⁴

Affiliation:

1. Universitas Adhirajasa Reswara Sanjaya,Informatics Engineering Program,Bandung,Indonesia

2. Universitas Adhirajasa Reswara Sanjaya,Computer Science Program,Bandung,Indonesia

3. Universitas Bina Sarana Informatika,Information System Program,Jakarta,Indonesia

4. Bina Nusantara University,Entrepreneurship Department,Jakarta,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9970201/9970202/09970206.pdf?arnumber=9970206

Reference27 articles.

1. IoT based wearable health monitoring system for pregnant ladies using cc3200;santhi;International Journal of Advanced Research Methodology in Engineering & Technology,2017

2. OG-Miner: An Intelligent Health Tool for Achieving Millennium Development Goals (MDGs) in m-Health Environments

3. Stillbirth: prerequisites and risk factors

4. Predicting Type of Delivery by Identification of Obstetric Risk Factors through Data Mining

5. Exploring the risk factors of preterm birth using data mining

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