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Predicting amyotrophic lateral sclerosis mortality with machine learning in diverse patient databases

dc.contributor.authorGuo, Ling
dc.contributor.authorXu, Ian Qian
dc.contributor.authorNag, Sonakshi
dc.contributor.authorXu, Jing
dc.contributor.authorHuei Chai , Josiah Yui
dc.contributor.authorSimmons, Zachary
dc.contributor.authorRamasamy, Savitha
dc.contributor.authorYeo, Crystal
dc.contributor.institutionUniversity of Aberdeen.Medical Educationen
dc.date.accessioned2025-09-15T15:05:02Z
dc.date.issued2025-10
dc.descriptionOpen Access via the Wiley agreement We would like to thank Dr. James Berry, Massachusetts General Hospital, and the NEALS consortium for providing the Celecoxib trial database and all contributors to the PRO-ACT database. We would also like to thank all the patients who contributed to the PRO-ACT, Celecoxib, and SG ALS databases.en
dc.description.statusPeer revieweden
dc.format.extent9
dc.format.extent562934
dc.identifier305970866
dc.identifierd0aab7d7-71cc-4899-ad16-4d4f8cc66a4e
dc.identifier105011982411
dc.identifier.citationGuo, L, Xu, I Q, Nag, S, Xu, J, Huei Chai , J Y, Simmons, Z, Ramasamy, S & Yeo, C 2025, 'Predicting amyotrophic lateral sclerosis mortality with machine learning in diverse patient databases', Muscle & nerve, vol. 72, no. 4, pp. 653-661. https://doi.org/10.1002/mus.28487en
dc.identifier.doi10.1002/mus.28487
dc.identifier.iss4en
dc.identifier.issn0148-639X
dc.identifier.urihttps://hdl.handle.net/2164/26013
dc.identifier.vol72en
dc.language.isoeng
dc.relation.ispartofMuscle & nerveen
dc.subjectamyotrophic lateral sclerosisen
dc.subjectdiverse external validationen
dc.subjectmachine learningen
dc.subjectmortality predictionen
dc.subjectsurvival analysisen
dc.subjectR Medicine (General)en
dc.subjectSupplementary Dataen
dc.subjectDASen
dc.subjectLinken
dc.subject.lccR1en
dc.titlePredicting amyotrophic lateral sclerosis mortality with machine learning in diverse patient databasesen
dc.typeJournal articleen

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