Unsupervised machine learning algorithms identify expected haemorrhage relationships but define unexplained coagulation profiles mapping to thrombotic phenotypes in hereditary haemorrhagic telangiectasia.
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| Title: | Unsupervised machine learning algorithms identify expected haemorrhage relationships but define unexplained coagulation profiles mapping to thrombotic phenotypes in hereditary haemorrhagic telangiectasia. |
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| Authors: | Mukhtar G; National Heart and Lung Institute Imperial College London London UK.; Imperial College School of Medicine London UK., Shovlin CL; National Heart and Lung Institute Imperial College London London UK.; Specialist Medicine Imperial College Healthcare NHS Trust London UK.; NIHR Imperial Biomedical Research Centre London UK. |
| Source: | EJHaem [EJHaem] 2023 Jul 03; Vol. 4 (3), pp. 602-611. Date of Electronic Publication: 2023 Jul 03 (Print Publication: 2023). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: John Wiley & Sons, Inc Country of Publication: United States NLM ID: 101761942 Publication Model: eCollection Cited Medium: Internet ISSN: 2688-6146 (Electronic) Linking ISSN: 26886146 NLM ISO Abbreviation: EJHaem Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2688-6146 |
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| DOI: | 10.1002/jha2.746 |
