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Unsupervised Machine Learning for Identification of Cardiohepatic Syndrome in Pulmonary Arterial Hypertension and Chronic Thromboembolic Pulmonary Hypertension

Year: 2022

Type: conference-abstract

DOI: 10.1164/ajrccm-conference.2022.205.1_meetingabstracts.a5304

Authors: J.V. Scott, R. McClelland, E. Weinberg, N. Al-Naamani, G. Baird, J. Holmes, J. Moutchia Suh, J. Minhas, D. Appleby, R. Urbanowicz, S.M. Kawut

Institutions: Carnegie Mellon University, University of Washington, University of Pennsylvania, Brown University

Language: English

Topic: Pulmonary Hypertension Research and Treatments

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4225313593

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