Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review.

ABSTRACT:

Background

Describe and evaluate the methodological conduct of prognostic prediction models developed using machine learning methods in oncology.

Methods

We conducted a systematic review in MEDLINE and Embase between 01/01/2019 and 05/09/2019, for studies developing a prognostic prediction model using machine learning methods in oncology. We used the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) statement, Prediction model Risk Of Bias ASsessment Tool (PROBAST) and CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies (CHARMS) to assess the methodological conduct of included publications. Results were summarised by modelling type: regression-, non-regression-based

SUBMITTER: Dhiman P 

PROVIDER: S-EPMC8991704 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature