Protocol for an Integrative Meta‐Analysis of the Application of Machine Learning Algorithms in the Prediction of Chronic Disease Risks and Outcomes

Authors

Ebenezer Afrifa‐Yamoah (ORCID: https://orcid.org/0000-0003-1741-9249)
Eric Adua (ORCID: https://orcid.org/0000-0002-6865-3812)
Enoch Odame Anto (ORCID: https://orcid.org/0000-0001-9023-6612)
Emmanuel Peprah‐Yamoah (ORCID: https://orcid.org/0000-0001-5199-2829)
Victor Opoku‐Yamoah (ORCID: https://orcid.org/0000-0002-7608-8040)

Institutions

Edith Cowan University (AU)
University of Waterloo (CA)
Flinders University (AU)
Kwame Nkrumah University of Science and Technology (GH)
UNSW Sydney (AU)
Teva Pharmaceuticals (United States) (US)

Publication Details

Journal: Chronic Diseases and Translational Medicine
Published: 2025-05-07
DOI: https://doi.org/10.1002/cdt3.70007
Citations: 1
Primary Topic: Artificial Intelligence in Healthcare
Type: article
Field-Weighted Citation Impact: 2.94

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article

Protocol for an Integrative Meta‐Analysis of the Application of Machine Learning Algorithms in the Prediction of Chronic Disease Risks and Outcomes

Ebenezer Afrifa‐Yamoah, Eric Adua, Enoch Odame Anto, Emmanuel Peprah‐Yamoah et al.

May 7, 2025

1 citations

Chronic Diseases and Translational Medicine

Artificial Intelligence in Healthcare

2.94

article

Protocol for an Integrative Meta‐Analysis of the Application of Machine Learning Algorithms in the Prediction of Chronic Disease Risks and Outcomes

Ebenezer Afrifa‐Yamoah, Eric Adua, Enoch Odame Anto, Emmanuel Peprah‐Yamoah, Victor Opoku‐Yamoah

May 7, 2025article en

1 citations

Abstract

No abstract available for this paper.

Chronic Diseases and Translational MedicineVol. 11(3)

Edith Cowan University (AU), University of Waterloo (CA), Flinders University (AU), Kwame Nkrumah University of Science and Technology (GH), UNSW Sydney (AU), Teva Pharmaceuticals (United States) (US)

Openalex Percentile: Top 9%

Artificial Intelligence in Healthcare

2.94

DOI Open Access PDF OpenAlex

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