A Machine Learning Approach for Predicting Maternal Health Risks in Lower-Middle-Income Countries Using Sparse Data and Vital Signs

A Machine Learning Approach for Predicting Maternal Health Risks in Lower-Middle-Income Countries Using Sparse Data and Vital Signs

According to the World Health Organization, maternal mortality rates remain a critical public health issue, with 94% of maternal deaths occurring in low- and middle-income countries (LMICs), where the rates reached 430 per 100,000 live births in 2020 compared to 13 in high-income countries. Despite...

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Bibliographic Details
Main Authors: Avnish Malde, Vishnunarayan Girishan Prabhu, Dishant Banga, Michael Hsieh, Chaithanya Renduchintala, Ronald Pirrallo
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Future Internet
Subjects:
maternal risk prediction
risk assessment
vital signs
low- and middle-income countries
health equity
Online Access:https://www.mdpi.com/1999-5903/17/5/190
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