Metraipolis › archive › dc_36dfee4a6785
Development of Venous Thromboembolism Risk Prediction Models Based on Whole Blood Gene Expression Profiling Using 20 Machine Learning Algorithms:… — Europe PMC PMID:41544253
- Source
- Europe PMC (en)
- Original
- https://europepmc.org/article/MED/41544253
- DOI
- 10.2196/75565
- License (as archived)
- solo-consultazione
- Archived
- 2026-10-06T14:43:52.863Z
- SHA-256 of the archived text
5b7de3213dc4c3476d150e928b623f44dc1a69105442b04f3bc74ca5f0918f23- Stable URL of this page
https://metraipolis.com/documento/dc_36dfee4a6785
How to cite
Development of Venous Thromboembolism Risk Prediction Models Based on Whole Blood Gene Expression Profiling Using 20 Machine Learning Algorithms:… — Europe PMC PMID:41544253 — Europe PMC (en), https://europepmc.org/article/MED/41544253 (solo-consultazione); archived copy: https://metraipolis.com/documento/dc_36dfee4a6785 (Metraipolis archive dc_36dfee4a6785, sha256 5b7de3213dc4c3476d150e928b623f44dc1a69105442b04f3bc74ca5f0918f23)
BibTeX
@misc{dc36dfee4a6785,
title = {Development of Venous Thromboembolism Risk Prediction Models Based on Whole Blood Gene Expression Profiling Using 20 Machine Learning Algorithms:… — Europe PMC PMID:41544253},
howpublished = {Europe PMC (en)},
url = {https://europepmc.org/article/MED/41544253},
note = {License solo-consultazione; archived copy https://metraipolis.com/documento/dc_36dfee4a6785; sha256 5b7de3213dc4c3476d150e928b623f44dc1a69105442b04f3bc74ca5f0918f23},
year = {2026}
}Archived text
The text is not reproduced here: the archive holds it as solo-consultazione (consultation only, no republication). Read it at the original source: https://europepmc.org/article/MED/41544253. Agents can read the archived copy with the MCP tool read_document.