Author Page for Bart Bjinens

Machine Learning-based Phenogrouping to Identify Clinical Subtypes of Preeclampsia

Number of pages: 21 Posted: 16 Oct 2025

Ohad Houri, Lina Youssef, Francesca Crovetto, Maria Borrell, Maddalena Crimella, Maria Giulia Ferrante, Rommy H. Novoa, Irene Casas, Noelia Encabo, Leticia Benitez, Marta Larroya, Anna Peguero, Eva Meler, Sara Castro-Barquero, Bart Bjinens, Francesc Figueras, Eduard Gratacós, Gabriel Bernardino and Fátima Crispi

University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), University of Barcelona, Universitat Pompeu Fabra (UPF) - Department of Information and Communication Technologies, University of Barcelona - Department of Maternal-Fetal Medicine, University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), Universitat Pompeu Fabra (UPF) - Department of Information and Communication Technologies and University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu)

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Abstract:

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Hybrid Feature Engineering and Time Series Transformer-Based Model with Explainable AI for Phonocardiogram Classification

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Hybrid Feature Engineering and Time Series Transformer-Based Model with Explainable AI for Phonocardiogram Classification

Number of pages: 31 Posted: 07 Feb 2026

Syeda Sana Bukhari, Shahab Uddin Ansari, Khurram Khan and Bart Bjinens

Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology and Universitat Pompeu Fabra (UPF) - Department of Information and Communication Technologies

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Bart Bjinens

Universitat Pompeu Fabra (UPF) - Department of Information and Communication Technologies

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Scholarly Papers (2)

Machine Learning-based Phenogrouping to Identify Clinical Subtypes of Preeclampsia

Abstract:

Hybrid Feature Engineering and Time Series Transformer-Based Model with Explainable AI for Phonocardiogram Classification

Hybrid Feature Engineering and Time Series Transformer-Based Model with Explainable AI for Phonocardiogram Classification

Abstract: