Browsing NTNU Open by Author "Bach, Kerstin"
Now showing items 1-20 of 95
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A Data-Driven CBR and Clustering Method for Identifying Physical Activity Phenotypes
Hasund, Anne Marie Skaar (Master thesis, 2023)Denne masteroppgåva undersøker nyskapande metodar for å identifisere fenotypar for fysisk aktivitet, hovudsakleg ved bruk av Case-Based Reasoning (CBR) og gruppering. Studien utforskar effektane av å variere talet på ... -
A Decision Support System to Enhance Self-Management of Low Back Pain: Protocol for the selfBACK Project
Mork, Paul Jarle; Bach, Kerstin (Journal article; Peer reviewed, 2018)Background: Low back pain (LBP) is a leading cause of disability worldwide. Most patients with LBP encountered in primary care settings have nonspecific LBP, that is, pain with an unknown pathoanatomical cause. Self-management ... -
A User-Based Look at Visualization Tools for Air Quality Data harvested by micro-sensor units
Svendsen, Daniel (Master thesis, 2020)Målet med masteroppgaven som har tittel ”User-based look at Visualization tools for Air Quality Data harvested by IoT units” er å utvikle og brukerteste forskjellige visualiser- ingsverktøy rettet mot luftforurensning i ... -
Acceptance and use of a clinical decision support system in musculoskeletal pain disorders – the SupportPrim project
Granviken, Fredrik; Meisingset, Ingebrigt; Vasseljen, Ottar; Bach, Kerstin; Bones, Anita Formo; Klevanger, Nina Elisabeth (Journal article; Peer reviewed, 2023)Background We have developed a clinical decision support system (CDSS) based on methods from artificial intelligence to support physiotherapists and patients in the decision-making process of managing musculoskeletal (MSK) ... -
Activity Recognition for Stroke Patients
Vågeskar, Eirik (Master thesis, 2017)Stroke is a disruption in the blood flow to the brain which may lead to a death of brain cells. More than 12000 Norwegians experience a stroke each year. Survivors often suffer lasting movement disabilities, which affect ... -
Analysis of The Norwegian Veterinary Institute's Model for Salmon Lice Abundance Prediction
Bogen, Johannes (Master thesis, 2018)Empirical studies have found that lice from salmon farms are a main source of infection of wild salmonids. Due to Norway s responsibility to conserve wild stocks of salmon, Veterinærinstituttet has created a statistical ... -
App-Delivered Self-Management Intervention Trial selfBACK for People With Low Back Pain: Protocol for Implementation and Process Evaluation
Nørregaard Rasmussen, Charlotte Diana; Jagd Svendsen, Malene; Wood, Karen; Nicholl, Barbara I; Mair, Frances S; Fleng Sandal, Louise; Mork, Paul Jarle; Søgaard, Karen; Bach, Kerstin; Jensen Stochkendahl, Mette (Peer reviewed; Journal article, 2020)Background: Implementation and process evaluation is vital for understanding how interventions function in different settings, including if and why interventions have different effects or do not work at all. Objective: ... -
An App-Delivered Self-Management Program for People With Low Back Pain: Protocol for the selfBACK Randomized Controlled Trial
Sandal, Louise Fleng; Stochkendahl, Mette J; Svendsen, Malene Jagd; Wood, Karen; Øverås, Cecilie Krage; Nordstoga, Anne Lovise; Villumsen, Morten; Rasmussen, Charlotte Diana Nørregaard; Nicholl, Barbara I; Cooper, Kay; Kjaer, Per; Mair, Frances; Sjøgaard, Gisela; Nilsen, Tom Ivar Lund; Hartvigsen, Jan; Bach, Kerstin; Mork, Paul Jarle; Søgaard, Karen (Peer reviewed; Journal article, 2019)Background: Low back pain (LBP) is prevalent across all social classes, in all age groups, and across industrialized and developing countries. From a global perspective, LBP is considered the leading cause of disability ... -
Application of Machine Learning Methods on Patient Reported Outcome Measurements for Predicting Outcomes: A Literature Review
Verma, Deepika; Bach, Kerstin; Mork, Paul Jarle (Journal article; Peer reviewed, 2021)The field of patient-centred healthcare has, during recent years, adopted machine learning and data science techniques to support clinical decision making and improve patient outcomes. We conduct a literature review with ... -
An Artificial Intelligence–Based App for Self-Management of Low Back and Neck Pain in Specialist Care: Process Evaluation From a Randomized Clinical Trial
Marcuzzi, Anna; Klevanger, Nina Elisabeth; Aasdahl, Lene; Gismervik, Sigmund Østgård; Bach, Kerstin; Mork, Paul Jarle; Nordstoga, Anne Lovise (Journal article; Peer reviewed, 2024)Background: Self-management is endorsed in clinical practice guidelines for the care of musculoskeletal pain. In a randomized clinical trial, we tested the effectiveness of an artificial intelligence–based self-management ... -
Assessment of Machine Learning Models for Classification of Movement Patterns During a Weight-Shifting Exergame
Vonstad, Elise Klæbo; Su, Xiaomeng; Vereijken, Beatrix; Bach, Kerstin; Nilsen, Jan Harald (Peer reviewed; Journal article, 2021)In exercise gaming (exergaming), reward systems are typically based on rules/templates from joint movement patterns. These rules or templates need broad ranges in definitions of correct movement patterns to accommodate ... -
Automatic Adjusting Global Similarity Measures in Learning CBR Systems
Ottersen, Stuart Gallina; Bach, Kerstin (Chapter, 2024)This paper explores how learning case-based reasoning (CBR) systems are affected by updating similarity measures. We create CBR systems using the local-global principle and we investigate (1) how adding new cases changes ... -
Automatic Analysis and Presentation of Learning Resources
Bråthen, Bjørn (Master thesis, 2016)This master thesis investigates how to make examples of student assignments searchable online, and hence better accessible. Dokker.no provides a platform where students can document their work, given a provided assignment. ... -
Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning
Murad, Abdulmajid Abdullah Yahya; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin (Chapter, 2019)Reinforcement learning (RL) is capable of managing wireless, energy-harvesting IoT nodes by solving the problem of autonomous management in non-stationary, resource-constrained settings. We show that the state-of-the-art ... -
Bayesian Feature Construction for Case-Based Reasoning: Generating Good Checklists
Flogard, Eirik Lund; Mengshoel, Ole Jakob; Bach, Kerstin (Chapter, 2021)Checklists are used to aid the fulfillment of safety critical activities in a variety of different applications, such as aviation, health care or labour inspections. However, optimizing a checklist for a specific purpose ... -
Bayesian-Supported Retrieval in BNCreek: A Knowledge-Intensive Case-Based Reasoning System
Nikpour, Hoda; Aamodt, Agnar; Bach, Kerstin (LNCS;volume 11156, Journal article; Peer reviewed, 2018)This study presents a case-based reasoning (CBR) system that makes use of general domain knowledge - referred to as a knowledge-intensive CBR system. The system applies a Bayesian analysis aimed at increasing the accuracy ... -
Blind Calibration of Air Quality Wireless Sensor Networks Using Deep Neural Networks
Veiga, Tiago Santos; Ljunggren, Erling; Bach, Kerstin; Akselsen, Sigmund (Chapter, 2021)Temporal drift of low-cost sensors is crucial for the applicability of wireless sensor networks (WSN) to measure highly local phenomenon such as air quality. The emergence of wireless sensor networks in locations without ... -
Can the bias of self-reported sitting time be corrected? A statistical model validation study based on data from 23 993 adults in the Norwegian HUNT study
Kongsvold, Atle Austnes; Flaaten, Mats; Logacjov, Aleksej; Skarpsno, Eivind Schjelderup; Bach, Kerstin; Nilsen, Tom Ivar Lund; Mork, Paul Jarle (Peer reviewed; Journal article, 2023)Background Despite apparent shortcomings such as measurement error and low precision, self-reported sedentary time is still widely used in surveillance and research. The aim of this study was threefold; (i) to examine ... -
Case Representation and Similarity Modeling for Non-Specific Musculoskeletal Disorders - A Case-Based Reasoning Approach
Jaiswal, Amar Deep; Bach, Kerstin; Meisingset, Ingebrigt; Vasseljen, Ottar (Book, 2019)This paper presents a method for developing case-based reasoning (CBR) application for discovering similar patients with non-specific musculoskeletal disorders (MSDs) and recommending treatment plans using previous ... -
Case-Based Reasoning and Computational Creativity in a Recipe Recommender System
Skjold, Kari; Øynes, Marthe Sofie (Master thesis, 2017)A domain where humans have unfolded their creativity for thousands of years is cooking. However, can a human's creativity within cooking be transferred to a computer program? The case-based reasoning (CBR) methodology ...