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Lina Youssef

University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu)

SCHOLARLY PAPERS

2

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Scholarly Papers (2)

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1.

Similarity Network Fusion to Identify Phenotypes of Small for Gestational Age Fetuses

Number of pages: 48 Posted: 01 Feb 2023
Jezid Miranda, Cristina Paules, Guillaume Noell, Lina Youssef, Angel Paternina, Francesca Crovetto, Nicolau Cañellas, María L. Garcia-Martín, Nuria Amigó, Elisenda Eixarch, Rosa Faner, Francesc Figueras, Rui V. Simões, Fátima Crispi and Eduard Gratacós
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 - Centre for Biomedical Research on Respiratory Diseases (CIBERES), University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), Universidad del Sinú, University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), Rovira i Virgili University - Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), University of Malaga - BIONAND, Biosfer Teslab, University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu), University of Barcelona, University of Barcelona - Department of Maternal-Fetal Medicine, Universidade do Porto, University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu) and University of Barcelona - BCNatal – Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Clínic and Hospital Sant Joan de Deu)
Downloads 155 (480,208)

Abstract:

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Biomarkers, fetal growth, machine learning, multi-omics, phenotypes pregnancy, small-for-gestational age.

2.

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)
Downloads 83 (783,685)

Abstract:

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Cluster analysis, Preeclampsia, Pregnancy complications, Unsupervised machine learning