A Machine Learning Approach to Identify Patients at Risk for Long-Term Consequences after Pulmonary Embolism Conference Poster 2024 Congress communication

https://www.gth2024.org/

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authors

Bikdeli B
Francisco I
HERNANDEZ BLASCO, LUIS MANUEL
Jiménez D
Monreal M
Nopp S
Otero R
Peris ML
Spielvogel C

publication date

2024

output of process or event

68TH ANNUAL MEETING OF THE SOCIETY OF THROMBOSIS AND HAEMOSTASIS RESEARCH; GESELLSCHAFT FUR THROMBOSE- UND HAMOSTASEFORSCHUNG Conference