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Toward Clinically Actionable Explainable AI in Pulmonary Arterial Hypertension: Endpoints, Calibration, and External Validation. Comment on Ledziński et al. Personalized Medicine in Pulmonary Arterial Hypertension: Utilizing Artificial Intelligence for Death Prevention. J. Clin. Med. 2025, 14, 8325
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Zitationen
3
Autoren
2026
Jahr
Abstract
We read with great interest the recent contribution proposing a machine-learning model (XGBoost), developed using registry data, to estimate mortality risk in adult patients with pulmonary arterial hypertension (PAH) and incorporating an SHAP-based interpretability strategy to clarify, both globally and at the individual level, the determinants of the prediction [...].
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