Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Johan Gustav Bellika"'
Autor:
Marit Dagny Kristine Jenssen, Elisa Salvi, Egil Andreas Fors, Ole Andreas Nilsen, Phuong Dinh Ngo, Miguel Tejedor, Johan Gustav Bellika, Fred Godtliebsen
Publikováno v:
Bioengineering, Vol 11, Iss 8, p 765 (2024)
Fibromyalgia is a chronic disease that affects a considerable fraction of the global population, primarily women. Physical activity is often recommended as a tool to manage the symptoms. In this study, we tried to replicate a positive result of pain
Externí odkaz:
https://doaj.org/article/921788b4d2114a37a0fc039d3b5b4d32
Autor:
Espen Saxhaug Kristoffersen, Bjørn Bjorvatn, Peder Andreas Halvorsen, Stein Nilsen, Guro Haugen Fossum, Egil A. Fors, Pål Jørgensen, Berit Øxnevad-Gundersen, Svein Gjelstad, Johan Gustav Bellika, Jørund Straand, Guri Rørtveit
Publikováno v:
Scandinavian Journal of Primary Health Care, Vol 40, Iss 2, Pp 217-226 (2022)
AbstractPurpose Clinical research in primary care is relatively scarce. Practice-based research networks (PBRNs) are research infrastructures to overcome hurdles associated with conducting studies in primary care. In Norway, almost all 5.4 million in
Externí odkaz:
https://doaj.org/article/77572baadc7a4ecabf0ba87bd889effe
Autor:
Kassaye Yitbarek Yigzaw, Taridzo Chomutare, Rolf Wynn, Gro Karine Rosvold Berntsen, Johan Gustav Bellika
Publikováno v:
JMIR Formative Research, Vol 6, Iss 7, p e31650 (2022)
BackgroundAntibiotic resistance is a worldwide public health problem that is accelerated by the misuse and overuse of antibiotics. Studies have shown that audits and feedback enable clinicians to compare their personal clinical performance with that
Externí odkaz:
https://doaj.org/article/7262511af9174923a16d503eb4684d8e
Publikováno v:
IEEE Access, Vol 9, Pp 116869-116878 (2021)
The adoption of the advanced data analytics methods has been limited in industries governed by strict data reuse regulations, such as healthcare. Barriers to data access and sharing have affected numerous research and development initiatives in healt
Externí odkaz:
https://doaj.org/article/25f3182e459d464d93216b35136de6a2
Autor:
Kassaye Yitbarek Yigzaw, Andrius Budrionis, Luis Marco-Ruiz, Torje Dahle Henriksen, Peder A. Halvorsen, Johan Gustav Bellika
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-12 (2020)
Abstract Background Learning from routine healthcare data is important for the improvement of the quality of care. Providing feedback on clinicians’ performance in comparison to their peers has been shown to be more efficient for quality improvemen
Externí odkaz:
https://doaj.org/article/dc8c74a7310d43b7a0f174741274c0f5
Autor:
Marit Dagny Kristine Jenssen, Per Atle Bakkevoll, Phuong Dinh Ngo, Andrius Budrionis, Asbjørn Johansen Fagerlund, Maryam Tayefi, Johan Gustav Bellika, Fred Godtliebsen
Publikováno v:
Applied Sciences, Vol 11, Iss 7, p 3205 (2021)
Given the high prevalence and associated cost of chronic pain, it has a significant impact on individuals and society. Improvements in the treatment and management of chronic pain may increase patients’ quality of life and reduce societal costs. In
Externí odkaz:
https://doaj.org/article/33ac0d1c605d4a00aac5ca33303954dd
Publikováno v:
IEEE Access, Vol 4, Pp 4635-4645 (2016)
Collecting data via a questionnaire and analyzing them while preserving respondents' privacy may increase the number of respondents and the truthfulness of their responses. It may also reduce the systematic differences between respondents and non-res
Externí odkaz:
https://doaj.org/article/99bb90d7225c4c80a476aa8d21c5a46e
Publikováno v:
PLoS ONE, Vol 7, Iss 12, p e52253 (2012)
Kernel density estimation and kernel regression are useful ways to visualize and assess the structure of data. Using these techniques we define a temporal scale space as the vector space spanned by bandwidth and a temporal variable. In this space sig
Externí odkaz:
https://doaj.org/article/c97188c4bd73418ba2e753ada58794d3
Publikováno v:
IEEE Access, Vol 9, Pp 116869-116878 (2021)
The adoption of the advanced data analytics methods has been limited in industries governed by strict data reuse regulations, such as healthcare. Barriers to data access and sharing have affected numerous research and development initiatives in healt
Autor:
Andrius Budrionis, Torje Dahle Henriksen, Luis Marco-Ruiz, Johan Gustav Bellika, Peder Andreas Halvorsen, Kassaye Yitbarek Yigzaw
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-12 (2020)
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making
Background Learning from routine healthcare data is important for the improvement of the quality of care. Providing feedback on clinicians’ performance in comparison to their peers has been shown to be more efficient for quality improvements. Howev