E-TBI: explainable outcome prediction after traumatic brain injury using machine learning.
| Publicado en: | Medical & Biological Engineering & Computing Vol. 63; no. 12; pp. 3839 - 3857 |
|---|---|
| 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=189750709&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 189750709 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: 189750709 187546849 10.1007/s11517-025-03431-w 189750709 ppf: 3839 ppct: 18 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: E-TBI: explainable outcome prediction after traumatic brain injury using machine learning. aug: au: Ngo, Thu Ha Tran, Minh Hieu Nguyen, Hoang Bach Hoang, Van Nam Le, Thi Lan Vu, Hai Tran, Trung Kien Nguyen, Huu Khanh Can, Van Mao Nguyen, Thanh Bac Tran, Thanh-Hai affil: https://ror.org/04nyv3z04 School of Electrical and Electronic Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|