Imperial College London

MrMatyasSzigeti

Faculty of MedicineSchool of Public Health

Honorary Research Associate
 
 
 
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Contact

 

m.szigeti

 
 
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Location

 

Stadium HouseWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{Szigeti:2023:10.1177/19322968211059547,
author = {Szigeti, M and Ferenci, T and Kovacs, L},
doi = {10.1177/19322968211059547},
journal = {JOURNAL OF DIABETES SCIENCE AND TECHNOLOGY},
pages = {400--408},
title = {The Use of Extreme Value Statistics to Characterize Blood Glucose Curves and Patient Level Risk Assessment of Patients With Type I Diabetes},
url = {http://dx.doi.org/10.1177/19322968211059547},
volume = {17},
year = {2023}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AU - Szigeti,M
AU - Ferenci,T
AU - Kovacs,L
DO - 10.1177/19322968211059547
EP - 408
PY - 2023///
SN - 1932-2968
SP - 400
TI - The Use of Extreme Value Statistics to Characterize Blood Glucose Curves and Patient Level Risk Assessment of Patients With Type I Diabetes
T2 - JOURNAL OF DIABETES SCIENCE AND TECHNOLOGY
UR - http://dx.doi.org/10.1177/19322968211059547
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000946065900017&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL - 17
ER -