Work

A Novel Phenotyping Pipeline to Improve Identification of Patients With Pulmonary Hypertension in Electronic Health Records

Year: 2024

Type: conference-abstract

DOI: 10.1164/ajrccm-conference.2024.209.1_meetingabstracts.a7290

Authors: D.M. Vidmar, W. Thompson, K. Morland, G. Lee, R. Miotto, J. Leader, J. Pfeifer, B. Fornwalt, A. Nelsen, R. Chen

Institutions: Tempus Labs (United States), United Therapeutics (United States)

Language: English

Topic: Machine Learning in Healthcare

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4396503582

Cites:

Cited by:

Related to: 10