Published on in Vol 9, No 9 (2021): September
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/30401, first published
.
![Machine Learning Approaches to Retrieve High-Quality, Clinically Relevant Evidence From the Biomedical Literature: Systematic Review Machine Learning Approaches to Retrieve High-Quality, Clinically Relevant Evidence From the Biomedical Literature: Systematic Review](https://asset.jmir.pub/assets/037a3a9e3c76312f4994a160625d34fd.png 480w,https://asset.jmir.pub/assets/037a3a9e3c76312f4994a160625d34fd.png 960w,https://asset.jmir.pub/assets/037a3a9e3c76312f4994a160625d34fd.png 1920w,https://asset.jmir.pub/assets/037a3a9e3c76312f4994a160625d34fd.png 2500w)
1 Health Information Research Unit, Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada
2 Department of Medicine, McMaster University, Hamilton, ON, Canada
*all authors contributed equally