Prediction of thyroid malignancy risk using clinical and ultrasonography features and a machine learning approach.
| Publicado en: | European Radiology Vol. 35; no. 9; pp. 5157 - 5168 |
|---|---|
| Autores principales: | , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Sep2025
|
| 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=187309324&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 187309324 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Sep2025 vid: 35 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 187309324 183002897 10.1007/s00330-025-11434-2 187309324 ppf: 5157 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Prediction of thyroid malignancy risk using clinical and ultrasonography features and a machine learning approach. aug: au: Hosseini Sarkhosh, Seyed Mahdi Shirzad, Nooshin Taghvaei, Mahdieh Tavangar, Seyed Mohammad Farhat, Sara Ebrahiminik, Hojat Hemmatabadi, Mahboobeh Pourashraf, Maryam Chegeni, Hossein affil: https://ror.org/04gc62a64 Department of Industrial Engineering, University of Garmsar, Garmsar, Iran sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|