Applying Data Preprocessing Methods to Predict Premature Birth
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8471725/8512178/08513681.pdf?arnumber=8513681
Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Black-white differences in chronic stress exposures to predict preterm birth: interpretable, race/ethnicity-specific machine learning model;BMC Pregnancy and Childbirth;2024-06-22
2. Exploring the potential of machine learning in gynecological care: a review;Archives of Gynecology and Obstetrics;2024-04-16
3. Multiomic signals associated with maternal epidemiological factors contributing to preterm birth in low- and middle-income countries;Science Advances;2023-05-26
4. Development of prognostic model for preterm birth using machine learning in a population-based cohort of Western Australia births between 1980 and 2015;Scientific Reports;2022-11-09
5. Machine Learning Approach for Preterm Birth Prediction Using Health Records: Systematic Review;JMIR Medical Informatics;2022-04-20
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