Machine learning algorithm to evaluate risk factors of diabetic foot ulcers and its severity.
| Published in: | Medical & Biological Engineering & Computing Vol. 60; no. 8; pp. 2349 - 2358 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Aug2022
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=158037394&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 158037394 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Aug2022 vid: 60 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 158037394 157615480 10.1007/s11517-022-02617-w 158037394 ppf: 2349 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Machine learning algorithm to evaluate risk factors of diabetic foot ulcers and its severity. aug: au: Nanda, Rachita Nath, Abhigyan Patel, Suprava Mohapatra, Eli affil: Department of Biochemistry, All India Institute of Medical Sciences Pin, 492099, Raipur, Chhattisgarh, India sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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