Text mining of verbal autopsy narratives to extract mortality causes and most prevalent diseases using natural language processing
Michael Tonderai Mapundu,
Chodziwadziwa Whiteson Kabudula,
Eustasius Musenge
et al.
Abstract:Verbal autopsy (VA) narratives play a crucial role in understanding and documenting the causes of mortality, especially in regions lacking robust medical infrastructure. In this study, we propose a comprehensive approach to extract mortality causes and identify prevalent diseases from VA narratives utilizing advanced text mining techniques, so as to better understand the underlying health issues leading to mortality. Our methodology integrates n-gram-based language processing, Latent Dirichlet Allocation (LDA)… Show more
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