Advancement in public health through machine learning: a narrative review of opportunities and ethical considerations

Advancement in public health through machine learning: a narrative review of opportunities and ethical considerations

Abstract This narrative review presents a comprehensive and state-of-the-art synthesis of how machine learning (ML) is transforming public health through enhanced prediction, personalized treatment, real-time surveillance, and intelligent resource optimization. Drawing from 170 peer-reviewed studies...

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Main Authors: Sumit Singh Dhanda, Deepak Panwar, Chia-Chen Lin, Tarun Kumar Sharma, Deependra Rastogi, Shantanu Bindewari, Anand Singh, Yung-Hui Li, Neha Agarwal, Saurabh Agarwal
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:Journal of Big Data
Subjects:
Public health
Machine learning
Artificial intelligence
Personalized medicine
Mental health
Resource allocation and optimization
Online Access:https://doi.org/10.1186/s40537-025-01201-x
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https://doi.org/10.1186/s40537-025-01201-x

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