Predicting internal carotid artery system risk based on common carotid artery by machine learning.
| Publicado en: | Medical & Biological Engineering & Computing Vol. 63; no. 12; pp. 3549 - 3562 |
|---|---|
| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Dec2025
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=189750694&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 189750694 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Dec2025 vid: 63 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 189750694 186619085 10.1007/s11517-025-03413-y 189750694 ppf: 3549 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Predicting internal carotid artery system risk based on common carotid artery by machine learning. aug: au: Tong, Yuhao Zhang, Qingyi Zhang, Feng Mu, Weidong Su, Steven W. Liu, Lin affil: https://ror.org/05jb9pq57 College of Medical Information and Artificial Intelligence, Shandong First Medical University, Qingdao road, 250117, Jinan, Shandong, China sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|