2022
DOI: 10.1101/2022.04.22.22274183
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Systematic Review of Supervised Machine Learning Models in Prediction of Medical Conditions

Abstract: Machine learning (ML) models for analyzing medical data are critical for both accelerating development of novel diagnostic and treatment strategies and improving the accuracy of medical care delivery. Our objective was to comprehensively review supervised ML models for diagnosis or treatment prediction. Publications indexed in PubMed were reviewed to identify articles utilizing supervised predictive ML models in medicine. Articles published between 01/01/2020–01/01/2022 were included in this review. Initially,… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 71 publications
(187 reference statements)
0
1
0
Order By: Relevance
“…Published by Francis Academic Press, UK -119-refine the accuracy of predictions, ultimately enabling insurance companies to develop effective risk management strategies and reduce potential losses [31] .…”
Section: Introductionmentioning
confidence: 99%
“…Published by Francis Academic Press, UK -119-refine the accuracy of predictions, ultimately enabling insurance companies to develop effective risk management strategies and reduce potential losses [31] .…”
Section: Introductionmentioning
confidence: 99%