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Table_1_Applying Machine Learning to Carotid Sonographic Fe..:
Shih-Yi Lin
;
Kin-Man Law
;
Yi-Chun Yeh
...
doi:10.3389/fcvm.2022.804410.s001. , 2022
Link:
https://doi.org/10.3389/fcvm.2022.804410.s001
RT Journal T1
Table_1_Applying Machine Learning to Carotid Sonographic Features for Recurrent Stroke in Patients With Acute Stroke.docx
UL https://suche.suub.uni-bremen.de/peid=base-ftfrontimediafig:oai:figshare.com:article_19086716&Exemplar=1&LAN=DE A1 Shih-Yi Lin A1 Kin-Man Law A1 Yi-Chun Yeh A1 Kuo-Chen Wu A1 Jhih-Han Lai A1 Chih-Hsueh Lin A1 Wu-Huei Hsu A1 Cheng-Chieh Lin A1 Chia-Hung Kao YR 2022 K1 Cardiology K1 Cardiology (incl. Cardiovascular Diseases) K1 Cardiorespiratory Medicine and Haematology not elsewhere classified K1 machine learning K1 carotid sonographic features K1 recurrent stroke K1 acute stroke K1 CatBoost model JF doi:10.3389/fcvm.2022.804410.s001 LK http://dx.doi.org/https://doi.org/10.3389/fcvm.2022.804410.s001 DO https://doi.org/10.3389/fcvm.2022.804410.s001 SF ELIB - SuUB Bremen
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