A machine learning approach to identify perspectives of people living with pulmonary fibrosis

Pulmonary fibrosis (PF) is a fibrotic interstitial lung disease that is caused by a heterogeneous group of underlying etiologies [1]. People with PF often experience debilitating symptoms, including dry cough, dyspnea, and fatigue, that negatively influence the quality of life of patients [2, 3] and their families [4]. Understanding perspectives of people with PF is important to address their unmet care needs.