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首页> BMC medical informatics and decision making> Prediction of contraceptive discontinuation among reproductive-age women in Ethiopia using Ethiopian Demographic and Health Survey 2016 Dataset: A Machine Learning Approach.

Prediction of contraceptive discontinuation among reproductive-age women in Ethiopia using Ethiopian Demographic and Health Survey 2016 Dataset: A Machine Learning Approach.

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作者： Shimels Derso,Kebede ^[1] ; Yakub,Sebastian ^[2] ; Abraham,Yeneneh ^[3] ; Ashenafi Fentahun,Chanie ^[3] ; Mequannent Sharew,Melaku ^[3] ; Agmasie Damtew,Walle ^[4]

作者单位： Department of Health Informatics, School of Public Health, College of Medicine and Health Science, Wollo University, Dessie, Ethiopia. shime4d@gmail.com. ^[1] Department of Information Technology, College of Engineering, IT and Environment, Charles Darwin University, Darwin, Australia. ^[2] Department of Health Informatics, Institute of Public Health, College of Medicine and Health Science, University of Gondar, Gondar, Ethiopia. ^[3] Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, Mettu University, Mettu, Ethiopia. ^[4]

关键词 Association rule mining Contraceptive discontinuation Ethiopia Ethiopian Demographic and Health Survey Machine learning

主题词儿童(Child);女(雌)性(Female);人类(Humans);避孕药(Contraceptive Agents);埃塞俄比亚(Ethiopia);生育力(Fertility);计划生育服务(Family Planning Services);家庭特征(Family Characteristics)

DOI 10.1186/s12911-023-02102-w

PMID 36650511

发布时间 2023-02-06

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BMC medical informatics and decision making

BMC medical informatics and decision making

2023年23卷1期

9页

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