Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models

By integrating ensemble machine learning models with explainable AI frameworks, the study promoted transparency in decision-making processes, thereby empowering healthcare providers with actionable insights for improved treatment strategies and enhanced patient outcomes, particularly in malaria management.

Authors

Olushina Olawale Awe (ORCID: https://orcid.org/0000-0002-0442-4519)
Peter Mwangi (ORCID: https://orcid.org/0009-0004-3226-6003)
Samuel Kotva Goudoungou (ORCID: https://orcid.org/0009-0005-0674-6588)
Ruth Victoria Esho
Olanrewaju Samuel Oyejide

Institutions

African Institute for Mathematical Sciences (CM)
Bogomolets National Medical University (UA)
University of Minho (PT)

Publication Details

Journal: BMC Medical Informatics and Decision Making
Published: 2025-04-11
DOI: https://doi.org/10.1186/s12911-025-02874-3
Citations: 5
Primary Topic: Artificial Intelligence in Healthcare
Type: article
Field-Weighted Citation Impact: 14.69

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article

Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models

Olushina Olawale Awe, Peter Mwangi, Samuel Kotva Goudoungou, Ruth Victoria Esho et al.

Apr 11, 2025

5 citations

BMC Medical Informatics and Decision Making

Artificial Intelligence in Healthcare

14.69

article

Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models

Olushina Olawale Awe, Peter Mwangi, Samuel Kotva Goudoungou, Ruth Victoria Esho, Olanrewaju Samuel Oyejide

April 11, 2025article en

5 citations

Abstract

By integrating ensemble machine learning models with explainable AI frameworks, the study promoted transparency in decision-making processes, thereby empowering healthcare providers with actionable insights for improved treatment strategies and enhanced patient outcomes, particularly in malaria management.

BMC Medical Informatics and Decision MakingVol. 25(1)

African Institute for Mathematical Sciences (CM), Bogomolets National Medical University (UA), University of Minho (PT)

Good health and well-being

Openalex Percentile: Top 2%

Artificial Intelligence in Healthcare

14.69

DOI Open Access PDF OpenAlex

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Explainable AI for enhanced accuracy in malaria diagnosis using ensemble machine learning models — Olushina Olawale Awe, Peter Mwangi, et al. · BMC Medical Informatics and Decision Making (2025) | TGRS Research Map | TGRS