Predicting metastasis in breast cancer: comparing a decision tree with domain experts.
| Published in: | Journal of Medical Systems Vol. 31; no. 4; pp. 263 - 274 |
|---|---|
| Main Authors: | , , , |
| Format: | pictorial research tables/charts Journal Article |
| Published: |
Springer Nature
Aug2007
|
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105921757&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105921757 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Aug2007 vid: 31 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105921757 2009625130 10.1007/s10916-007-9064-1 NLM17685150 105921757 ppf: 263 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Predicting metastasis in breast cancer: comparing a decision tree with domain experts. aug: au: Razavi A Gill H Åhlfeldt H Shahsavar N affil: Department of Biomedical Engineering, Division of Medical Informatics, Linköping University, University Hospital, S-58185 Linköping Sweden. sug: subj: Breast Neoplasms Pathology Neoplasm Metastasis Registries, Disease Data Analysis Female Funding Source Models, Statistical Prognosis Recurrence Sweden Human Female pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|