Imperial College London

DrHelenLaycock

Faculty of MedicineDepartment of Surgery & Cancer

Honorary Clinical Lecturer
 
 
 
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Contact

 

+44 (0)20 3315 8023h.laycock

 
 
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Location

 

3.41Chelsea and Westminster HospitalChelsea and Westminster Campus

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Summary

 

Publications

Citation

BibTex format

@article{Baskozos:2022:10.1186/s12911-022-01890-x,
author = {Baskozos, G and Themistocleous, AC and Hebert, HL and Pascal, MM and John, J and Callaghan, BC and Laycock, H and Granovsky, Y and Crombez, G and Yarnitsky, D and Rice, ASC and Smith, BH and Bennett, DLH},
doi = {10.1186/s12911-022-01890-x},
journal = {BMC MEDICAL INFORMATICS AND DECISION MAKING},
title = {Classification of painful or painless diabetic peripheral neuropathy and identification of the most powerful predictors using machine learning models in large cross-sectional cohorts},
url = {http://dx.doi.org/10.1186/s12911-022-01890-x},
volume = {22},
year = {2022}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AU - Baskozos,G
AU - Themistocleous,AC
AU - Hebert,HL
AU - Pascal,MM
AU - John,J
AU - Callaghan,BC
AU - Laycock,H
AU - Granovsky,Y
AU - Crombez,G
AU - Yarnitsky,D
AU - Rice,ASC
AU - Smith,BH
AU - Bennett,DLH
DO - 10.1186/s12911-022-01890-x
PY - 2022///
TI - Classification of painful or painless diabetic peripheral neuropathy and identification of the most powerful predictors using machine learning models in large cross-sectional cohorts
T2 - BMC MEDICAL INFORMATICS AND DECISION MAKING
UR - http://dx.doi.org/10.1186/s12911-022-01890-x
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000802009700001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL - 22
ER -