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Machine-learning-based models for the optimization of post-cervical spinal laminoplasty outpatient f...

Machine-learning-based models for the optimization of post-cervical spinal laminoplasty outpatient f...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a4cf8500eb50423e9c4cc2d83b7f8f8e

Machine-learning-based models for the optimization of post-cervical spinal laminoplasty outpatient follow-up schedules

About this item

Full title

Machine-learning-based models for the optimization of post-cervical spinal laminoplasty outpatient follow-up schedules

Publisher

England: BioMed Central Ltd

Journal title

BMC medical informatics and decision making, 2024-09, Vol.24 (1), p.278-13, Article 278

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Patients undergo regular clinical follow-up after laminoplasty for cervical myelopathy. However, those whose symptoms significantly improve and remain stable do not need to conform to a regular follow-up schedule. Based on the 1-year postoperative outcomes, we aimed to use a machine-learning (ML) algorithm to predict 2-year postoperative outcomes.<...

Alternative Titles

Full title

Machine-learning-based models for the optimization of post-cervical spinal laminoplasty outpatient follow-up schedules

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a4cf8500eb50423e9c4cc2d83b7f8f8e

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a4cf8500eb50423e9c4cc2d83b7f8f8e

Other Identifiers

ISSN

1472-6947

E-ISSN

1472-6947

DOI

10.1186/s12911-024-02693-y

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