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

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Title: A machine learning approach to identify patients at risk for long-term consequences after pulmonary embolism.
Authors: Nopp, Stephan1 (AUTHOR), Spielvogel, Clemens2 (AUTHOR), Bikdeli, Behnood3,4,5 (AUTHOR), Alberich-Conesa, Ana6 (AUTHOR), Hernández-Blasco, Luis7,8 (AUTHOR), Peris, Mª Luisa9,10 (AUTHOR), Otero, Remedios11,12,13 (AUTHOR), Jiménez, David13,14,15 (AUTHOR), Monreal, Manuel13,16 (AUTHOR), Ay, Cihan1 (AUTHOR) cihan.ay@meduniwien.ac.at, Agudo de Blas, P.17 (AUTHOR), Aibar, J.18 (AUTHOR), Alberich-Conesa, A.6 (AUTHOR), Alda-Lozano, A.19 (AUTHOR), Alfonso, J.20 (AUTHOR), Alonso-Carrillo, J.17 (AUTHOR), Álvarez-Vega, P.21 (AUTHOR), Amado, C.22 (AUTHOR), Angelina-García, M.23 (AUTHOR), Arcelus, J. I.24 (AUTHOR)
Source: Scientific Reports. 9/24/2025, Vol. 15 Issue 1, p1-12. 12p.
Database: Academic Search Ultimate
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