Sex bias exists in diagnosing pulmonary arterial hypertension via machine learning

J. Uthoff (Sheffield, United Kingdom), S. Alabed (Sheffield, United Kingdom), P. Garg (Sheffield, United Kingdom), A. Lawrie (Sheffield, United Kingdom), J. Wild (Sheffield, United Kingdom), D. Kiely (Sheffield, United Kingdom), H. Lu (Sheffield, United Kingdom), A. Swift (Sheffield, United Kingdom)

Source: Virtual Congress 2020 – Epidemiology and treatment of pulmonary arterial hypertension
Session: Epidemiology and treatment of pulmonary arterial hypertension
Session type: E-poster session
Number: 1469
Disease area: Pulmonary vascular diseases

Congress or journal article abstractE-poster

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J. Uthoff (Sheffield, United Kingdom), S. Alabed (Sheffield, United Kingdom), P. Garg (Sheffield, United Kingdom), A. Lawrie (Sheffield, United Kingdom), J. Wild (Sheffield, United Kingdom), D. Kiely (Sheffield, United Kingdom), H. Lu (Sheffield, United Kingdom), A. Swift (Sheffield, United Kingdom). Sex bias exists in diagnosing pulmonary arterial hypertension via machine learning. 1469

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