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Enhancing Cause of Death Prediction: Development and Validation of ML Models Using Multimodal Data Across Multiple Healthcare Sites
2025-06-24
health informatics
Title + abstract only
View on medRxiv
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ImportanceTimely and accurate determination of causes of death (CoD) is essential for public health surveillance, epidemiological research, and healthcare policy development. However, obtaining up-to-date and detailed CoD information is challenging due to delays in official death records and inconsistencies in data reporting across institutions. ObjectiveTo develop and validate machine learning (ML) models capable of predicting probable CoD by integrating comprehensive features from structured ...
Predicted journal destinations
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Journal of the American Medical Informatics Association
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International Journal of Medical Informatics
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JMIR Public Health and Surveillance
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