• Automatic Segmentation of Dermoscopic Images by Iterative Classification 

      Zortea, Maciel; Skrøvseth, Stein Olav; Schopf, Thomas Roger Griesbeck; Kirchesch, Herbert M.; Godtliebsen, Fred (Journal article; Tidsskriftartikkel; Peer reviewed, 2011)
      Accurate detection of the borders of skin lesions is a vital first step for computer aided diagnostic systems. This paper presents a novel automatic approach to segmentation of skin lesions that is particularly suitable for analysis of dermoscopic images. Assumptions about the image acquisition, in particular, the approximate location and color, are used to derive an automatic rule to select small ...
    • Bayesian multiscale analysis of images modeled as Gaussian Markov random fields 

      Thon, Kevin Otto; Rue, Håvard; Skrøvseth, Stein Olav; Godtliebsen, Fred (Journal article; Tidsskriftartikkel; Peer reviewed, 2012)
      A Bayesian multiscale technique for the detection of statistically significant features in noisy images is proposed. The prior is defined as a stationary intrinsic Gaussian Markov random field on a toroidal graph, which enables efficient computation of the relevant posterior marginals. Hence the method is applicable to large images produced by modern digital cameras. The technique is demonstrated ...
    • Causality in Scale Space as an Approach to Change Detection 

      Skrøvseth, Stein Olav; Godtliebsen, Fred; Bellika, Johan Gustav (Journal article; Tidsskriftartikkel; Peer reviewed, 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 significance regions that reflect a significant derivative in the kernel smooth similar to those of SiZer (Significant Zero-crossings of derivatives) are ...
    • Cost-effectiveness and quality of life in surgeon versus general practitioner-organised colon cancer surveillance: a randomised controlled trial 

      Augestad, Knut Magne; Norum, Jan; Dehof, Stefan; Aspevik, Ranveig; Ringberg, Unni; Nestvold, Torunn Kristin; Vonen, Barthold; Skrøvseth, Stein Olav; Lindsetmo, Rolv-Ole (Journal article; Tidsskriftartikkel; Peer reviewed, 2013-04-04)
      Objective: To assess whether colon cancer follow-up can be organised by general practitioners (GPs) without a decline in the patient's quality of life (QoL) and increase in cost or time to cancer diagnoses, compared to hospital follow-up. Design: Randomised controlled trial. Setting: Northern Norway Health Authority Trust, 4 trusts, 11 hospitals and 88 local communities. Participants: Patients ...
    • Does proximity of women to facilities with better choice of contraceptives affect their contraceptive utilization in rural Ethiopia? 

      Shiferaw, Solomon; Spigt, Mark; Seme, Assefa; Amogne, Ayanaw; Skrøvseth, Stein Olav; Desta, Selamawit; Radloff, Scott; Tsui, Amy; Dinant, Geert-Jan (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-11-13)
      Background:<br>There is limited evidence of the linkage between contraceptive use, the range of methods available and level of contraceptive stocks at health facilities and distance to facility in developing countries. The present analysis aims at examining the influence of contraceptive method availability and distance to the nearby facilities on modern contraceptive utilization among married women ...
    • Learning similarities between irregularly sampled short multivariate time series from EHRs 

      Mikalsen, Karl Øyvind; Bianchi, Filippo Maria; Soguero-Ruiz, Cristina; Skrøvseth, Stein Olav; Lindsetmo, Rolv-Ole; Revhaug, Arthur; Jenssen, Robert (Conference object; Konferansebidrag, 2016-12-04)
      A large fraction of the Electronic Health Records consists of clinical multivariate time series. Building models for extracting information from these is important for improving the understanding of diseases, patient care and treatment. Such time series are oftentimes particularly challenging since they are characterized by multiple, possibly dependent variables, length variability and irregular ...
    • Long-Term Engagement With a Mobile Self-Management System for People With Type 2 Diabetes 

      Tatara, Naoe; Årsand, Eirik; Skrøvseth, Stein Olav; Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel; Peer reviewed, 2013-03-27)
    • Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data 

      Kocbek, Primoz; Fijacko, Nino; Soguero-Ruiz, Cristina; Mikalsen, Karl Øyvind; Maver, Uros; Brzan, Petra Povalej; Stozer, Andraz; Jenssen, Robert; Skrøvseth, Stein Olav; Stiglic, Gregor (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-02-19)
      This study describes a novel approach to solve the surgical site infection (SSI) classification problem. Feature engineering has traditionally been one of the most important steps in solving complex classification problems, especially in cases with temporal data. The described novel approach is based on abstraction of temporal data recorded in three temporal windows. Maximum likelihood L1-norm ...
    • Mobile Phone-Based Pattern Recognition and Data Analysis for Patients with Type 1 Diabetes 

      Skrøvseth, Stein Olav; Årsand, Eirik; Godtliebsen, F.; Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel; Peer reviewed, 2012)
      Persons with type 1 diabetes who use electronic self-help tools, most commonly blood glucose meters, record a large amount of data about their personal condition. Mobile phones are powerful and ubiquitous computers that have a potential for data analysis, and the purpose of this study is to explore how self-gathered data can help users improve their blood glucose management. Thirty patients with ...
    • Model-driven diabetes care: study protocol for a randomized controlled trial 

      Skrøvseth, Stein Olav; Årsand, Eirik; Godtliebsen, Fred; Joakimsen, Ragnar Martin (Journal article; Tidsskriftartikkel; Peer reviewed, 2013)
      Background: People with type 1 diabetes who use electronic self-help tools register a large amount of information about their disease on their participating devices; however, this information is rarely utilized beyond the immediate investigation. We have developed a diabetes diary for mobile phones and a statistics-based feedback module, which we have named Diastat, to give data-driven feedback ...
    • Person-centred, integrated and pro-active care for multi-morbid elderly with advanced care needs: A propensity score-matched controlled trial 

      Berntsen, Gro Karine Rosvold; Dalbakk, Monika; Hurley, Joseph; Bergmo, Trine Strand; Solbakken, Beate; Spansvoll, Lisbeth; Bellika, Johan Gustav; Skrøvseth, Stein Olav; Brattland, Trond; Rumpsfeld, Markus (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-10-03)
      <i>Background</i> - Person-centred care (PCC) focusing on personalised goals and care plans derived from “What matters to you?” has an impact on single disease outcomes, but studies on multi-morbid elderly are lacking. Furthermore, the combination of PCC, Integrated Care (IC) and Pro-active care are widely recognised as desirable for multi-morbid elderly, yet previous studies focus on single components ...
    • Scale Space Methods for Analysis of Type 2 Diabetes Patients' Blood Glucose Values 

      Skrøvseth, Stein Olav; Godtliebsen, Fred (Journal article; Tidsskriftartikkel; Peer reviewed, 2011)
      We describe how scale space methods can be used for quantitative analysis of blood glucose concentrations from type 2 diabetes patients. Blood glucose values were recorded voluntarily by the patients over one full year as part of a self-management process, where the timeand frequency of the recordings are decided by the patients. This makes a unique datasetin its extent, though with a large variation ...
    • A semiautomatic tool for prostate segmentation in radiotherapy treatment planning 

      Schulz, Jörn; Skrøvseth, Stein Olav; Tømmerås, Veronika Kristine; Marienhagen, Kirsten; Godtliebsen, Fred (Journal article; Tidsskriftartikkel; Peer reviewed, 2014-01-25)
    • Using anchors from free text in electronic health records to diagnose postoperative delirium 

      Mikalsen, Karl Øyvind; Soguero-Ruiz, Cristina; Jensen, Kasper; Hindberg, Kristian; Gran, Mads; Revhaug, Arthur; Lindsetmo, Rolv-Ole; Skrøvseth, Stein Olav; Godtliebsen, Fred; Jenssen, Robert (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-09-19)
      Objectives:<br> Postoperative delirium is a common complication after major surgery among the elderly. Despite its potentially serious consequences, the complication often goes undetected and undiagnosed. In order to provide diagnosis support one could potentially exploit the information hidden in free text documents from electronic health records usin ...
    • Using Noninferiority Tests to Evaluate Telemedicine and E-Health Services: Systematic Review 

      Kummervold, Per Egil; Johnsen, Jan-Are Kolset; Skrøvseth, Stein Olav; Wynn, Rolf (Journal article; Tidsskriftartikkel; Peer reviewed, 2012)
      Background: An increasing number of studies within the field of telemedicine and e-health are designed as noninferiority studies, aiming to show that the telemedicine/e-health solution is not inferior to the traditional way of treating patients. Objective: The objective is to review and sum up the status of noninferiority studies within this field, describing advantages and pitfalls of this approach. ...