Predict, diagnose, and treat chronic kidney disease with machine learning: a systematic literature review.

ABSTRACT:

Objectives

In this systematic review we aimed at assessing how artificial intelligence (AI), including machine learning (ML) techniques have been deployed to predict, diagnose, and treat chronic kidney disease (CKD). We systematically reviewed the available evidence on these innovative techniques to improve CKD diagnosis and patient management.

Methods

We included English language studies retrieved from PubMed. The review is therefore to be classified as a "rapid review", since it includes one database only, and has language restrictions; the novelty and importance of the issue make missing relevant papers unlikely. We extracted 16 variables, including: main aim, studied population, data source, sample size, problem type (regression, classification), predictors used, and per

SUBMITTER: Sanmarchi F 

PROVIDER: S-EPMC10227138 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature