Crossmark

Development and validation of an explainable machine learning model for risk stratification in patients with clinically suspected acute pulmonary embolism: retrospective study

Crossref DOI link: https://doi.org/10.1016/j.clinsp.2026.101138

Published Print: 2026-01

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Li, Qingming https://orcid.org/0009-0003-4062-3907
Qin, Huijun https://orcid.org/0000-0001-5819-239X
Xu, Jian https://orcid.org/0009-0006-9332-3045
License Information

Text and Data Mining valid from 2026-01-01

Text and Data Mining valid from 2026-01-01

Version of Record valid from 2026-09-02
More Information

This article is maintained by: Elsevier

Article Title: Development and validation of an explainable machine learning model for risk stratification in patients with clinically suspected acute pulmonary embolism: retrospective study

Journal Title: Clinics

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.clinsp.2026.101138

Content Type: article

Copyright: © 2026 HCFMUSP. Published by Elsevier España, S.L.U.

Document is current

Any future updates will be listed below