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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.
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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  Data: 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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  Data: <searchLink fieldCode="AU" term="%22Mukhtar+G%22">Mukhtar G</searchLink>; National Heart and Lung Institute Imperial College London London UK.; Imperial College School of Medicine London UK.<br /><searchLink fieldCode="AU" term="%22Shovlin+CL%22">Shovlin CL</searchLink>; 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.
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  Data: <searchLink fieldCode="JN" term="%22101761942%22">EJHaem</searchLink> [EJHaem] 2023 Jul 03; Vol. 4 (3), pp. 602-611. <i>Date of Electronic Publication: </i>2023 Jul 03 (<i>Print Publication: </i>2023).
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        Value: 10.1002/jha2.746
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      – Code: eng
        Text: English
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        StartPage: 602
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      – TitleFull: 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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            NameFull: Mukhtar G
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            NameFull: Shovlin CL
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            – D: 03
              M: 07
              Text: 2023 Jul 03
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              Y: 2023
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