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Andrea Malaspina

University College London

Gower Street

London, London WC1E 6BT

United Kingdom

SCHOLARLY PAPERS

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Scholarly Papers (1)

1.

Optimised Machine Learning for Time-to-Event Prediction in Healthcare Applied to Timing of Gastrostomy in ALS: A Multi-Centre, Retrospective Model Development and Validation Study

Number of pages: 28 Posted: 07 May 2025
University of Sheffield, University of Sheffield, Trinity College (Dublin) - Academic Unit of Neurology, Trinity College (Dublin) - Academic Unit of Neurology, Weizmann Institute of Science - Department of Molecular Genetics, Weizmann Institute of Science, Weizmann Institute of Science, University of Sheffield, University of Sheffield, University of Sheffield, University of Sheffield, University of Sheffield, University of Sheffield, University Medical Center Utrecht - Department of Neurology, University of Florida, King’s College London - Department of Basic and Clinical Neuroscience, King’s College London - Department of Basic and Clinical Neuroscience, Stanford University - Genetics Department, University of Sheffield, University of Turin, University College London, University of Rostock, Karolinska Institutet - Karolinska University Hospital, University of Valencia, Utrecht University - Department of Neurology, Bellvitge University Hospital, KU Leuven - University Hospitals Leuven, CHRU Tours, University of Lisbon, King’s College London - Department of Basic and Clinical Neuroscience, Weizmann Institute of Science - Department of Molecular Genetics, Lund University - Department of Biology, University of Sheffield - Sheffield Institute for Translational Neuroscience (SITraN), Trinity College (Dublin) - Academic Unit of Neurology, University of Sheffield and University of Sheffield - Sheffield Institute for Translational Neuroscience (SITraN)
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Abstract:

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Time-to-event prediction, machine learning, personalised medicine, amyotrophic lateral sclerosis (ALS), gastrostomy