Explainable AI for Endometriosis Diagnosis: A Dense Neural Network Approach with SHAP Interpretation

According to [2], Artificial Intelligence’s revolutionary potential is bringing about a fundamental revolution in every aspect of the world, impacting everything from product development to medical diagnosis. It also has several subfields, particularly in the practice of medicine, including computer vision (CV), deep learning (DL), and machine learning (ML).

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Publication Details

Journal
International journal of research and scientific innovation
Published
2025-01-01
DOI
https://doi.org/10.51244/ijrsi.2025.12030070
Primary Topic
Scientific Research Methodologies and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Explainable AI for Endometriosis Diagnosis: A Dense Neural Network Approach with SHAP Interpretation

Ernest Enyinnaya Onuiri, Kuyoro Afolashade, Fatade Oluwayemisi Boye
International journal of research and scientific innovation
Scientific Research Methodologies and Applications
article

Explainable AI for Endometriosis Diagnosis: A Dense Neural Network Approach with SHAP Interpretation

Ernest Enyinnaya Onuiri, Kuyoro Afolashade, Fatade Oluwayemisi Boye
article en

Abstract

According to [2], Artificial Intelligence’s revolutionary potential is bringing about a fundamental revolution in every aspect of the world, impacting everything from product development to medical diagnosis. It also has several subfields, particularly in the practice of medicine, including computer vision (CV), deep learning (DL), and machine learning (ML).

International journal of research and scientific innovationVol. XII(III)
Openalex Percentile: Top 91%
Scientific Research Methodologies and Applications
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Explainable AI for Endometriosis Diagnosis: A Dense Neural Network Approach with SHAP Interpretation — Ernest Enyinnaya Onuiri, Kuyoro Afolashade, et al. · International journal of research and scientific innovation (2025) | TGRS Research Map | TGRS