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Kajsa Møllersen Førsteamanuensis, biostatistikk Institutt for samfunnsmedisin +4797783940 . kajsa.mollersen@uit.no. Legg visittkort i kontaktlisten din (vcard)

Affiliation. Norwegian Centre for Integrated Care and Telemedicine University Hospital of North Norway, Norway. Publication Topics Kajsa Møllersen, University of Tromsø, Mathematics and statistics Department, Graduate Student. Studies Semantic similarity, Computational Linguistics & NLP, and Sentiment Analysis.

Kajsa.mollersen

The goal of this thesis is analyse the incidence rate of the first ever myocardial infarction (MI) and the survival time after the MI. The data used for this purpose is from the Troms\o{} study surveys collected in the period from 1974 to 2008. Kajsa Møllersen, 1 , * Herbert Kirchesch, 2 Maciel Zortea, 3 Thomas R. Schopf, 1 Kristian Hindberg, 3 and Fred Godtliebsen 3 Kajsa Møllersen 1 Norwegian Centre for Integrated Care and Telemedicine, University Hospital of North Norway, 9038 Tromsø, Norway 2018-03-12 · We have replicated some experiments in 'Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs' that was published in JAMA 2016; 316(22). We re-implemented the methods since the source code is not available. The original study used fundus images from EyePACS and three hospitals in India for training their detection algorithm Kajsa Møllersen has special expertise in Diabetic Retinopathy. Expertscape's algorithms degrade at low publication numbers. Thus, with only 1 published article on Diabetic Retinopathy from 2010 through 2020, it is not possible for Expertscape to reliably rate Kajsa Møllersen's expertise on this topic. We have replicated some experiments in 'Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs' that was published in JAMA 2016; 316(22).

Folkräkning 1880, gift i Abborkärn Ljusnarsberg,sökte hennes dotter Cajsa Lotta i Fb och sedan i Hfl. Där fanns också modern Greta Möller, sen var det löst.

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Kajsa Møllersen. Post. doc statistikk, Institutt for samfunnsmedisin, UiT – Norges arktiske universitet. kajsa.mollersen@uit.no. Thomas Roger Schopf.

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* kajsa.mollersen@uit.no Abstract Melanoma is the deadliest form of skin cancer, and early detection is crucial for patient sur-vival. Computer systems can assist in melanoma detection, but are not widespread in clini-cal practice.

Kajsa Møllersen gir deg svaret i ukas podkast fra UiT. Med programlederne Geir Hevnskjel Ringvold og Marit Anne H Kajsa Møllersen is a statistician with a postdoc position at UiT-Arctic University Norway. Her current research is focused on exploratory statistical methods applied on gene expression/methylation data. kajsa.mollersen@uit.no.
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International Journal Of Circumpolar Health, Möllersen, S., Silent agreement - or 2019 kajsa.mickelsson@folkhalsomyndigheten.se https://youtu.be/stbfxlfzgf4

1 vitenskapelig artikkel er publisert i 2015. Møllersen K, Kirchesch H, Zortea M, Schopf TR, Berit Hamrin - Kajsa Ernst. Thomas Samuelsson - Richard Ulfsäter. "Q" - Felix Engström Möller sen. - Rolf Becker. Kai - Luisa Katharina Davids. Aigner - Hans Hvordan kan føflekk-kreft diagnostiseres ved hjelp av statistikk og et kompaktkamera?