Prediction of in-hospital adverse clinical outcomes in patients with pulmonary thromboembolism, machine learning based models.

Yaser Jenab,Kaveh Hosseini,Zahra Esmaeili,Saeed Tofighi,Hamid Ariannejad,Houman Sotoudeh

Frontiers in cardiovascular medicine（2023）

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摘要

ML-based models have notable prediction ability in PE patients. These algorithms may help physicians to detect high-risk patients earlier and take appropriate preventive measures.

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关键词

gradient boosting machine,logistic models,machine learing,outcome analysis,pulmonary embolism,risk factors

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