Predicting disease severity in multiple sclerosis using multimodal data and machine learning

被引：0
|
作者：
Magi Andorra
Ana Freire
Irati Zubizarreta
Nicole Kerlero de Rosbo
Steffan D. Bos
Melanie Rinas
Einar A. Høgestøl
Sigrid A. de Rodez Benavent
Tone Berge
Synne Brune-Ingebretse
Federico Ivaldi
Maria Cellerino
Matteo Pardini
Gemma Vila
Irene Pulido-Valdeolivas
Elena H. Martinez-Lapiscina
Sara Llufriu
Albert Saiz
Yolanda Blanco
Eloy Martinez-Heras
Elisabeth Solana
Priscilla Bäcker-Koduah
Janina Behrens
Joseph Kuchling
Susanna Asseyer
Michael Scheel
Claudia Chien
Hanna Zimmermann
Seyedamirhosein Motamedi
Josef Kauer-Bonin
Alex Brandt
Julio Saez-Rodriguez
Leonidas G. Alexopoulos
Friedemann Paul
Hanne F. Harbo
Hengameh Shams
Jorge Oksenberg
Antonio Uccelli
Ricardo Baeza-Yates
Pablo Villoslada
机构：
[1] Institut d’Investigacions Biomediques August Pi Sunyer (IDIBAPS) and Hospital Clinic Barcelona,School of Management
[2] Pompeu Fabra University,Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health
[3] University of Genoa,Institute for Computational Biomedicine
[4] IRCCS Ospedale Policlinico San Martino,Department of Internal Medicine
[5] University of Oslo,School of Mechanical Engineering
[6] Oslo University Hospital,Department of Neurology
[7] Heidelberg University Hospital,School of Engineering
[8] and Heidelberg University,Department of Medicine and Life Sciences
[9] Oslo Metropolitan University,undefined
[10] University of Genoa,undefined
[11] Charité Universitaetsmedizin Berlin,undefined
[12] Max Delbrueck Center for Molecular Medicine,undefined
[13] ProtATonce Ltd,undefined
[14] National Technical University of Athens,undefined
[15] University of California,undefined
[16] Pompeu Fabra University,undefined
[17] Pompeu Fabra University,undefined
[18] Hospital del Mar Research Institute,undefined
[19] UPF Barcelona School of Management,undefined
来源：
Journal of Neurology | 2024年 / 271卷
关键词：
Multiple sclerosis; Omics; Imaging; Machine learning; Precision medicine;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1133 / 1149
页数：16
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