Predicting the risk of cancer in adults using supervised machine learning: a scoping review.

ABSTRACT:

Objectives

The purpose of this scoping review is to: (1) identify existing supervised machine learning (ML) approaches on the prediction of cancer in asymptomatic adults; (2) to compare the performance of ML models with each other and (3) to identify potential gaps in research.

Design

Scoping review using the population, concept and context approach.

Search strategy

PubMed search engine was used from inception to 10 November 2020 to identify literature meeting following inclusion criteria: (1) a general adult (≥18 years) population, either sex, asymptomatic (population); (2) any study using ML techniques to derive predictive models for future cancer risk using clinical and/or demographic and/or basic laboratory data (concept) and (3) original research articles conduct

SUBMITTER: Abdullah Alfayez A 

PROVIDER: S-EPMC8442074 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature