Work

Evaluating unsupervised and rule-based phenotyping methods versus administrative code counts for systemic sclerosis identification

Year: 2026

Type: article

Study design: Observational Study

Source: Seminars in Arthritis and Rheumatism

DOI: 10.1016/j.semarthrit.2026.153033

Authors: Yiming Luo, Gongbo Zhang, Aradhna Agarwal, Chunhua Weng, Elana J Bernstein

Institutions: Columbia University Irving Medical Center, Columbia University

Language: English

Topic: Systemic Sclerosis and Related Diseases

Subfield: Rheumatology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: U.S. Department of Defense, National Institutes of Health, Diabetes Research and Training Center, National Heart, Lung, and Blood Institute, National Institute of Arthritis and Musculoskeletal and Skin Diseases

Awards: Screening Chest CT to Detect Interstitial Lung Disease in Systemic Sclerosis, PREDICTING RESPONSE TO TREATMENT IN SYSTEMIC SCLEROSIS-RELATED INTERSTITIAL LUNG DISEASE IN A MULTICENTER OBSERVATIONAL COHORT, G8686981970, Vasculopathy and Systemic Sclerosis-Associated Interstitial Lung Disease, Causal Gene Prioritization in Systemic Sclerosis: Multi-Omics Analyses from Population Genetics to Single Cell Biology

OpenAlex ID: W7166556730

FWCI:

Cites: 18

Cited by:

Related to: 10