The incremental value of unstructured data via natural language processing in machine learning-based COVID-19 mortality prediction: a comparative study

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Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2025-09-26
DOI
https://doi.org/10.1186/s12911-025-03178-2
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
0.00

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article

The incremental value of unstructured data via natural language processing in machine learning-based COVID-19 mortality prediction: a comparative study

Antônio Pazin‐Filho, Rildo Pinto da Silva
BMC Medical Informatics and Decision Making
COVID-19 diagnosis using AI
article

The incremental value of unstructured data via natural language processing in machine learning-based COVID-19 mortality prediction: a comparative study

Antônio Pazin‐Filho, Rildo Pinto da Silva
article en

Abstract

No abstract available for this paper.
BMC Medical Informatics and Decision MakingVol. 25(1)
Universidade de Ribeirão Preto (BR), Universidade de São Paulo (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Openalex Percentile: Top 61%
COVID-19 diagnosis using AI
DOIOpen Access PDFOpenAlex
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