Leveraging Data Science for Global Health

Leveraging Data Science for Global Health

This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Devel...

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Bibliographic Details
Other Authors: Celi, Leo Anthony (Editor), Majumder, Maimuna S. (Editor), Ordóñez, Patricia (Editor), Osorio, Juan Sebastian (Editor), Paik, Kenneth E. (Editor), Somai, Melek (Editor)
Format: Book Chapter
Published: Springer Nature 2020
Subjects:
Medical equipment & techniques
Health & safety aspects of IT
Health economics
Health Informatics
Health Economics
Open Access
Big Data
Machine Learning
Artificial Intelligence
Digital Disease Surveillance
Health Mapping
Health Records for Non-Communicable Diseases
HealthMap
Tools for Clinical Trials
Information technology: general issues
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