Feature Engineering for the Prediction of Scoliosis in 5q‐Spinal Muscular Atrophy
Feature Engineering for the Prediction of Scoliosis in 5q‐Spinal Muscular Atrophy
About this item
Full title
Author / Creator
Publisher
Germany: John Wiley & Sons, Inc
Journal title
Language
English
Formats
Publication information
Publisher
Germany: John Wiley & Sons, Inc
Subjects
More information
Scope and Contents
Contents
ABSTRACT
Background
5q‐Spinal muscular atrophy (SMA) is now one of the 5% treatable rare diseases worldwide. As disease‐modifying therapies alter disease progression and patient phenotypes, paediatricians and consulting disciplines face new unknowns in their treatment decisions. Conclusions made from historical patient data sets are now mostl...
Alternative Titles
Full title
Feature Engineering for the Prediction of Scoliosis in 5q‐Spinal Muscular Atrophy
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_cf5f7585181348099334904dfeb09ca9
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cf5f7585181348099334904dfeb09ca9
Other Identifiers
ISSN
2190-5991,2190-6009
E-ISSN
2190-6009
DOI
10.1002/jcsm.13599
