Application of machine learning algorithms to model predictors of informed contraceptive choice among reproductive age women in six high fertility rate sub Sahara Africa countries

Application of machine learning algorithms to model predictors of informed contraceptive choice among reproductive age women in six high fertility rate sub Sahara Africa countries

Abstract Introduction Informed contraceptive choice is declared when a woman selects a methods of contraceptive after receiving comprehensive information on available alternatives, side effects, and management if adverse effect happens. Access to contraceptive information is a fundamental right, cru...

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Bibliographic Details
Main Authors: Mequannent Sharew Melaku, Lamrot Yohannes, Berhanu Sharew, Mintesnot Hawaz Derseh, Eliyas Addisu Taye
Format: Article
Language:English
Published: BMC 2025-05-01
Series:BMC Public Health
Subjects:
Informed contraceptive choice
Contraceptive
Six countries
High fertility
SSA
Machine learning algorithms
Online Access:https://doi.org/10.1186/s12889-025-23242-w
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https://doi.org/10.1186/s12889-025-23242-w

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