The DIAS computer model accurately predicts unrecognised hypoglycaemia in patients with insulin-dependent diabetes

D. A. Cavan, R. Hovorka, Steen Andreassen, E. R. Carson, P. H. Sönksen

Research output: Contribution to book/anthology/report/conference proceedingConference abstract in proceedingResearch

Original languageEnglish
Title of host publicationSymposium on Computers in Diabetes on the occasion of EASD 94 : Proceedings
Publication date1994
Pages38
Publication statusPublished - 1994
EventSymposium on Computers in Diabetes on the occasion of EASD 94 - Düsseldorf, Germany
Duration: 26 Sep 199427 Sep 1994
Conference number: 3

Conference

ConferenceSymposium on Computers in Diabetes on the occasion of EASD 94
Number3
CountryGermany
CityDüsseldorf
Period26/09/199427/09/1994

Cite this

Cavan, D. A., Hovorka, R., Andreassen, S., Carson, E. R., & Sönksen, P. H. (1994). The DIAS computer model accurately predicts unrecognised hypoglycaemia in patients with insulin-dependent diabetes. In Symposium on Computers in Diabetes on the occasion of EASD 94: Proceedings (pp. 38)