Deep learning model for screening causes of activated partial thromboplastin time prolongation using clot waveform analysis at multiple wavelengths

Abstract Activated partial thromboplastin time (APTT) prolongation occurs due to coagulation factor deficiencies/inhibitors, lupus anticoagulant (LA), and anticoagulant-taking, necessitating discrimination through further testing. Clot waveform analysis (CWA) can discriminate causes while measuring...

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書誌詳細

主要な著者:	Masato Matsuda, Daiki Shimomura, Takeshi Suzuki, Yuka Tabuchi, Hiroshi Kurono, Keisuke Nishi, Nobuo Arai, Yoshiki Hoshiyama, Mikio Kamioka, Masato Moriyama, Tomoko Matsumoto
フォーマット:	Artigo
言語:	Inglês
出版事項:	Nature Portfolio 2025-09-01
シリーズ:	Scientific Reports
主題:	Activated partial thromboplastin time Anticoagulants Clot waveform analysis Deep learning Hemophilia Lupus anticoagulant
オンライン･アクセス:	https://doi.org/10.1038/s41598-025-15089-3
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