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Transcriptomic and Machine Learning‐Based Classification of Unprovoked Versus Provoked Venous Thromboembolism Using Public Data

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Published in:IET Systems Biology
Format: Online Article RSS Article
Published: 2026
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container_title IET Systems Biology
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discipline_display Technology & Engineering
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institution FRELIP
journal_source_facet IET Systems Biology
publishDate 2026
publishDateSort 2026
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spellingShingle Transcriptomic and Machine Learning‐Based Classification of Unprovoked Versus Provoked Venous Thromboembolism Using Public Data
Bioengineering
Bioengineering
Technology & Engineering
sub_discipline_display Bioengineering
sub_discipline_facet Bioengineering
subject_display Bioengineering
Bioengineering
Technology & Engineering
Bioengineering
Bioengineering
Technology & Engineering
subject_facet Bioengineering
Bioengineering
Technology & Engineering
title Transcriptomic and Machine Learning‐Based Classification of Unprovoked Versus Provoked Venous Thromboembolism Using Public Data
title_auth Transcriptomic and Machine Learning‐Based Classification of Unprovoked Versus Provoked Venous Thromboembolism Using Public Data
title_full Transcriptomic and Machine Learning‐Based Classification of Unprovoked Versus Provoked Venous Thromboembolism Using Public Data
title_fullStr Transcriptomic and Machine Learning‐Based Classification of Unprovoked Versus Provoked Venous Thromboembolism Using Public Data
title_full_unstemmed Transcriptomic and Machine Learning‐Based Classification of Unprovoked Versus Provoked Venous Thromboembolism Using Public Data
title_short Transcriptomic and Machine Learning‐Based Classification of Unprovoked Versus Provoked Venous Thromboembolism Using Public Data
title_sort transcriptomic and machine learning‐based classification of unprovoked versus provoked venous thromboembolism using public data
topic Bioengineering
Bioengineering
Technology & Engineering
url https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/syb2.70058?af=R