The Clinician's Guide to the Machine Learning Galaxy

Lin Shen; Benjamin H Kann; R Andrew Taylor; Dennis L Shung

doi:10.3389/fphys.2021.658583

The Clinician's Guide to the Machine Learning Galaxy

Front Physiol. 2021 Apr 6:12:658583. doi: 10.3389/fphys.2021.658583. eCollection 2021.

Authors

Lin Shen^{1

2}, Benjamin H Kann^{3

4}, R Andrew Taylor⁵, Dennis L Shung⁶

Affiliations

¹ Department of Medicine, Brigham and Women's Hospital, Boston, MA, United States.
² Division of Gastroenterology, Hepatology and Endoscopy, Brigham and Women's Hospital, Boston, MA, United States.
³ Department of Radiation Oncology, Dana-Farber Cancer Institute/Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States.
⁴ Artificial Intelligence in Medicine Program, Brigham and Women's Hospital, Boston, MA, United States.
⁵ Department of Emergency Medicine, Yale School of Medicine, New Haven, CT, United States.
⁶ Section of Digestive Diseases, Department of Medicine, Yale School of Medicine, New Haven, CT, United States.

No abstract available

Keywords: artificial intelligence; clinical decision support systems; delivery of health care; health care outcome and process assessment; machine learning.

Grants and funding

UL1 TR001863/TR/NCATS NIH HHS/United States