Adaptive modelling approach for predicting causes of death: insights from verbal autopsy data in Tanzania

The reported performance of the developed model demonstrates the potential for this model to enhance VA-based CoD data by integrating a machine learning approach with physician expertise. The results highlight the effectiveness of combining Bayesian networks with physician Symptom Cause Information as a valuable tool in advancing the performance of CoD predictions.

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Publication Details

Journal
International Health
Published
2025-11-10
DOI
https://doi.org/10.1093/inthealth/ihaf123
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
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article

Adaptive modelling approach for predicting causes of death: insights from verbal autopsy data in Tanzania

Juma Lungo, James Chambua, Mahadia Tunga
International Health
Machine Learning in Healthcare
article

Adaptive modelling approach for predicting causes of death: insights from verbal autopsy data in Tanzania

Juma Lungo, James Chambua, Mahadia Tunga
article en

Abstract

The reported performance of the developed model demonstrates the potential for this model to enhance VA-based CoD data by integrating a machine learning approach with physician expertise. The results highlight the effectiveness of combining Bayesian networks with physician Symptom Cause Information as a valuable tool in advancing the performance of CoD predictions.

International HealthVol. 18(1)
University of Dar es Salaam (TZ)
Openalex Percentile: Top 81%
Machine Learning in Healthcare
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