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Tewodros Belay Alemneh

Jimma University (JU) - Jimma Institute of Technology

Researcher

SCHOLARLY PAPERS

2

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110

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Scholarly Papers (2)

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1.

Interpretable Machine Learning for Maternal Risk Stratification: A Comparative Study of Stacked Ensembles and Tabular Transformers using Routine Clinical Data

Number of pages: 32 Posted: 24 Mar 2026
Firanol Teshome, Gelane Biru, Honey Gemechu, Eyerusalem Gebremeskel, Adane Tadesse Gebryu, Yisak Dereje Asefa, Boaz Tulu, Netsanet Workneh Gidi, Tewodros Belay Alemneh, Gelan Ayana and Jude Dzevela Kong
Jimma University (JU) - Jimma Institute of Technology, Jimma University (JU) - Jimma Institute of Technology, Jimma University (JU) - Jimma Institute of Technology, Jimma University (JU) - Jimma Institute of Technology, Jimma University (JU) - Jimma Institute of Technology, AI4PEP, Jimma University (JU), Jimma University (JU), Jimma University (JU) - Jimma Institute of Technology, Jimma University (JU) and University of Toronto
Downloads 58 (1,020,567)

Abstract:

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Maternal risk stratification, interpretable machine learning, TabPFN, stacked ensemble, clinical decision support

2.

Explainable Machine Learning for Early Prediction of Preterm Birth Risk Using Routine Antenatal Care Data: A Multicenter Model Development and Validation Study in Ethiopia

Number of pages: 28 Posted: 12 May 2026
Firanol Teshome, Gelane Biru, Honey Gemechu, Eyerusalem Gebremeskel, Adane Tadesse Gebryu, Yisak Dereje Asefa, Boaz Tulu, Netsanet Workneh Gidi, Tewodros Belay Alemneh, Gelan Ayana and Jude Dzevela Kong
Jimma University (JU) - Jimma Institute of Technology, Jimma University (JU) - Jimma Institute of Technology, Jimma University (JU) - Jimma Institute of Technology, Jimma University (JU) - Jimma Institute of Technology, Jimma University (JU) - Jimma Institute of Technology, AI4PEP, Jimma University (JU), Jimma University (JU), Jimma University (JU) - Jimma Institute of Technology, Jimma University (JU) and Artificial Intelligence & Mathematical Modeling Lab (AIMMLab); Africa-Canada Artificial Intelligence and Data Innovation Consortium (ACADIC); University of Toronto
Downloads 52 (1,263,436)

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