Data Driven Decision Support for Clinical Information Systems
- Prosjektnummer
- HST1182-14
- Ansvarlig person
- Stein Olav Skrøvseth
- Institusjon
- Universitetssykehuset Nord-Norge HF
- Prosjektkategori
- Flerårig forskningsprosjekt
- Helsekategori
- Cancer and neoplasms, Generic health relevance
- Forskningsaktivitet
- 6. Treatment Evaluation, 8. Health Services
Data-driven approach for assessing utility of medical tests using electronic medical records.
J Biomed Inform 2015 Feb;53():270-6. Epub 2014 des 4
PMID: 25481626
Support Vector Feature Selection for Early Detection of Anastomosis Leakage from Bag-of-Words in Electronic Health Records.
IEEE J Biomed Health Inform 2014 Oct 8. Epub 2014 okt 8
PMID: 25312965
Prediction of Surgical Complications Using Heterogenous Clinical Data and Kernel Methods
NIPS Workshop on Machine Learning in Healthcare, 2015
From unstructured EHR text to data-driven clinical decision support
International Journal of Integrated Care, 2015
Data-driven Temporal Prediction of Surgical Site Infection
American Medical Informatics Association Annual Symposium, 2015
Predicting Postoperative Delirium Using Anchors
NIPS Workshop on Machine Learning in Healthcare, 2015
Detecting Novel Associations for Surgical Hospital Readmissions in Large Datasets by Interactive Visual Analytics
Visual Analytics in Healthcare, 2014
- Stein Olav Skrøvseth Prosjektleder
- Rolv-Ole Lindsetmo Prosjektdeltaker
- Arthur Revhaug Prosjektdeltaker
- Kasper Jensen Prosjektdeltaker
- Robert Jenssen Prosjektdeltaker
- Fred Godtliebsen Prosjektdeltaker
- Knut Magne Augestad Prosjektdeltaker
eRapport er utarbeidet av Sølvi Lerfald og Reidar Thorstensen, Regionalt kompetansesenter for klinisk forskning, Helse Vest RHF, og videreutvikles av de fire RHF-ene i fellesskap, med støtte fra Helse Vest IKT
Alle henvendelser rettes til eRapport, Helse Nord