Use of Machine-Learning Models to Identify Clinical Features Associated With A Future Clinical Worsening Event in Patients With Pulmonary Arterial Hypertension.

Hilary DuBrock¹, Xiaoqin Tang², Gurinderpal Doad², Jenny Lam², Michelle Cho², Karthik Murugadoss³, Deeksha Doddahonnaiah³, Tyler E Wagner³

¹Mayo Clinic Rochester Minnesota USA.

²Johnson & Johnson Titusville New Jersey USA.

³nference Cambridge Massachusetts USA.

PubMed PMC DOI PDF

Abstract

Clinical worsening events are increasingly recognized as a meaningful outcome in pulmonary arterial hypertension (PAH). We applied machine-learning models to real-world data to identify clinical features that may predict clinical worsening events in PAH. Data were obtained retrospectively from the electronic health records of adults diagnosed with PAH at Mayo Clinic locations (January 2015-Decembe…

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