Explainable machine learning for modeling predictors of unintended pregnancy among married/in-union women in sub-Saharan Africa, a multi-country analysis of MICS 6 survey

Introduction Unintended pregnancy is defined as a pregnancy that is either mistimed (wanted at a later time) or unwanted (not wanted at all). It has been a concerning issue for reproductive health and public health, with significant negative effects on the mother, child, and the public at large. It...

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Ngā kaituhi matua:	Shimels Derso Kebede, Kaleab M Abera, Eyob Tilahun Abeje, Ermias Bekele Enyew, Chala Daba, Lakew Asmare, Fekade Demeke Bayou, Mastewal Arefaynie, Anissa Mohammed, Abiyu Abadi Tareke, Awoke Keleb, Natnael Kebede, Yawkal Tsega, Abel Endawkie
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	SAGE Publishing 2024-10-01
Rangatū:	Digital Health
Urunga tuihono:	https://doi.org/10.1177/20552076241292978
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

Explainable machine learning for modeling predictors of unintended pregnancy among married/in-union women in sub-Saharan Africa, a multi-country analysis of MICS 6 survey

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