Work

Identifying Top Predictors of Change in Noncalcified Coronary Burden in Psoriasis by Machine Learning Over 1-Year

Year: 2021

Type: article

Source: Journal of Psoriasis and Psoriatic Arthritis

DOI: 10.1177/24755303211000757

Authors: Eric Munger, Amit K. Dey, Justin Rodante, Martin P. Playford, Alexander V. Sorokin, Xin Tian, Colin O. Wu, Ahmed Hasan, Marcus Y. Chen, Joel M. Gelfand, Mohsin Saleet Jafri, Nehal N. Mehta

Institutions: National Institutes of Health, George Mason University, National Heart, Lung, and Blood Institute, University of Pennsylvania

Language: English

Topic: Psoriasis: Treatment and Pathogenesis

Subfield: Immunology

Field: Immunology and Microbiology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: National Heart, Lung, and Blood Institute

Award: G2977812651

OpenAlex ID: W3144438022

FWCI:

Cites: 11

Cited by:

Related to: 10