A machine learning approach to identify patients at risk for long-term consequences after pulmonary embolism

Abstract Pulmonary embolism (PE) can result in long-term sequelae, such as post-PE syndrome, including persistent dyspnea and chronic thromboembolic pulmonary hypertension (CTEPH). Existing prediction tools for severe post-PE complications lack sensitivity and specificity. This study aimed to develo...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Stephan Nopp, Clemens Spielvogel, Behnood Bikdeli, Ana Alberich-Conesa, Luis Hernández-Blasco, Mª Luisa Peris, Remedios Otero, David Jiménez, Manuel Monreal, Cihan Ay, The RIETE Investigators
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Nature Portfolio 2025-09-01
Цуврал:	Scientific Reports
Нөхцлүүд:	Pulmonary embolism Venous thromboembolism Machine learning Prediction Dyspnea Pulmonary arterial hypertension
Онлайн хандалт:	https://doi.org/10.1038/s41598-025-14893-1
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!