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Maria Kvist

Showing results (1-10 of 19) with videos related to

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Lakartidningen|January 11, 2007
[Crazy directives reduce productivity in health care!]Maria Kvist, Mikael Rolfs
Lakartidningen|May 4, 2011
[Easily accessible medical records--a right with problems?]Helen Allvin, Maria Kvist
Studies in Health Technology and Informatics|September 7, 2011
Factuality levels of diagnoses in Swedish clinical textSumithra Velupillai, Hercules Dalianis, Maria Kvist
Studies in Health Technology and Informatics|August 28, 2014
Abbreviations in Swedish Clinical Text--use by three professionsElin Lövestam, Sumithra Velupillai, Maria Kvist
Studies in Health Technology and Informatics|December 10, 2014
Detection of healthcare-associated urinary tract infection in Swedish electronic health recordsHideyuki Tanushi, Maria Kvist, Elda Sparrelid
Studies in Health Technology and Informatics|January 4, 2018
Detecting Protected Health Information in Heterogeneous Clinical NotesAron Henriksson, Maria Kvist, Hercules Dalianis
Studies in Health Technology and Informatics|April 21, 2017
Prevalence Estimation of Protected Health Information in Swedish Clinical TextAron Henriksson, Maria Kvist, Hercules Dalianis
Journal of Biomedical Informatics|August 21, 2015
Identifying adverse drug event information in clinical notes with distributional semantic representations of contextAron Henriksson, Maria Kvist, Hercules Dalianis, et al.
Studies in Health Technology and Informatics|August 8, 2013
Using text prediction for facilitating input and improving readability of clinical textMagnus Ahltorp, Maria Skeppstedt, Hercules Dalianis, et al.
Journal of Biomedical Informatics|February 11, 2014
Automatic recognition of disorders, findings, pharmaceuticals and body structures from clinical text: an annotation and machine learning studyMaria Skeppstedt, Maria Kvist, Gunnar H Nilsson, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Lakartidningen|January 11, 2007
[Crazy directives reduce productivity in health care!]Maria Kvist, Mikael Rolfs
Lakartidningen|May 4, 2011
[Easily accessible medical records--a right with problems?]Helen Allvin, Maria Kvist
Studies in Health Technology and Informatics|September 7, 2011
Factuality levels of diagnoses in Swedish clinical textSumithra Velupillai, Hercules Dalianis, Maria Kvist
Studies in Health Technology and Informatics|August 28, 2014
Abbreviations in Swedish Clinical Text--use by three professionsElin Lövestam, Sumithra Velupillai, Maria Kvist
Studies in Health Technology and Informatics|December 10, 2014
Detection of healthcare-associated urinary tract infection in Swedish electronic health recordsHideyuki Tanushi, Maria Kvist, Elda Sparrelid
Studies in Health Technology and Informatics|January 4, 2018
Detecting Protected Health Information in Heterogeneous Clinical NotesAron Henriksson, Maria Kvist, Hercules Dalianis
Studies in Health Technology and Informatics|April 21, 2017
Prevalence Estimation of Protected Health Information in Swedish Clinical TextAron Henriksson, Maria Kvist, Hercules Dalianis
Journal of Biomedical Informatics|August 21, 2015
Identifying adverse drug event information in clinical notes with distributional semantic representations of contextAron Henriksson, Maria Kvist, Hercules Dalianis, et al.
Studies in Health Technology and Informatics|August 8, 2013
Using text prediction for facilitating input and improving readability of clinical textMagnus Ahltorp, Maria Skeppstedt, Hercules Dalianis, et al.
Journal of Biomedical Informatics|February 11, 2014
Automatic recognition of disorders, findings, pharmaceuticals and body structures from clinical text: an annotation and machine learning studyMaria Skeppstedt, Maria Kvist, Gunnar H Nilsson, et al.
Pageof 2