Reporting quality of studies using machine learning models for medical diagnosis: a systematic review.

ABSTRACT:

Aims

We conducted a systematic review assessing the reporting quality of studies validating models based on machine learning (ML) for clinical diagnosis, with a specific focus on the reporting of information concerning the participants on which the diagnostic task was evaluated on.

Method

Medline Core Clinical Journals were searched for studies published between July 2015 and July 2018. Two reviewers independently screened the retrieved articles, a third reviewer resolved any discrepancies. An extraction list was developed from the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis guideline. Two reviewers independently extracted the data from the eligible articles. Third and fourth reviewers checked, verified the extracted data a

SUBMITTER: Yusuf M 

PROVIDER: S-EPMC7103817 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature