Work

Machine Learning Offers Exciting Potential for Predicting Postprocedural Outcomes: A Framework for Developing Random Forest Models in IR

Year: 2020

Type: article

Source: Journal of Vascular and Interventional Radiology

DOI: 10.1016/j.jvir.2019.11.030

Authors: Ishan Sinha, Dilum P. Aluthge, Elizabeth S. Chen, Indra Neil Sarkar, Sun Ho Ahn

Institution: Brown University

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Institute of Mental Health, National Institute of General Medical Sciences

Awards: Training and Teaching for Transforming Big Data to Knowledge, Advance Clinical and Translational Research (Advance-CTR)

OpenAlex ID: W3022245226

FWCI: 3.504

Cites: 28

Cited by: 25

Related to: 10