Balancing Clinical Applicability and Scientific Depth in ML Models for MDA5-DM Prognosis: Response to ‘From machine learning to clinical practice: phenotypic clusters of anti-MDA5 antibody-positive dermatomyositis’. By Koopman, Jacob; Buhler, Katherine; Choi, May

Letter/Communication

Open access

Peer reviewed

Briefings in bioinformatics, Vol.25(4), bbae295

2024

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Letter to Editor

Title: Balancing Clinical Applicability and Scientific Depth in ML Models for MDA5-DM Prognosis
Authors/Creators: Emily McLeish - Murdoch University
Nataliya Slater - Murdoch University
Frank L Mastaglia - , Nedlands, WA
Merrilee Needham - Murdoch University, Centre for Molecular Medicine and Innovative Therapeutics
Jerome D Coudert - Murdoch University, Centre for Molecular Medicine and Innovative Therapeutics
Publication Details: Briefings in bioinformatics, Vol.25(4), bbae295
Publisher: Oxford University Press
Identifiers: 991005684369907891
Murdoch Affiliation: Centre for Molecular Medicine and Innovative Therapeutics
Language: English
Resource Type: Letter/Communication

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