Background This trial evaluates interventions that utilize data entered at point-of-care in the Palestinian maternal and child eRegistry to generate Quality Improvement Dashboards (QID) for healthcare ...

Colonoscopy is considered the gold standard for detection of colorectal cancer and its precursors. Existing examination methods are, however, hampered by high overall miss-rate, and many abnormalities are left undetected. ...

Algorithmic decision-making is rapidly evolving as a source of data-driven competitive advantage with important implications for analytical practices in multiple settings. Despite the ambitions for algorithmic and intelligent ...

Electroencephalography (EEG) and magnetoencephalography (MEG) are among the most important techniques for non-invasively studying cognition and disease in the human brain. These signals are known to originate from cortical ...

Denne masteroppgaven er en studie av hvordan interaksjonsdesignere og utviklere forstår annerledeshet og design for ulike menneskers behov. Arbeidet plasserer seg under forskning på universell utforming i HCI-feltet, men ...

Continuity of health care has in recent years received increased attention. To achieve ‘seamless’ care over time and across service providers, and to reducing redundancy related to duplicated information in parallel systems, ...

Obstructive sleep apnea (OSA) is a common, but severely under-diagnosed sleep disorder characterized by repeated periods of reduced or paused breathing during sleep. Polysomnography (PSG) is the gold standard for the ...

Background Advances in whole genome sequencing strategies have provided the opportunity for genomic and comparative genomic analysis of a vast variety of organisms. The analysis results are highly dependent on the quality ...

With more and more people getting older and needing extra medical attention, robots may be a way of helping them live independently at home longer. Robots in the home, however, can gather lots of personal information about ...

Echocardiography is a key imaging modality to assess cardiac anatomy and function. In the past decade, high frame rate ultrasound imaging has emerged, and has allowed for studies of rapid phenomena that occur in the ...

This thesis explores the field of \emph{Affective Computing} and emotional intelligent machines, by implementing and investigating a specific approach for training emotional reinforcement learning agents, in the novel ...

Background There is a need for validated clinical risk scores to identify patients at risk of severe disease and to guide decision-making during the covid-19 pandemic. The National Early Warning Score 2 (NEWS2) is widely ...

Surface electromyography (sEMG) provides an intuitive and non-invasive interface from which to control machines. However, preserving the myoelectric control system’s performance over multiple days is challenging, due to ...

We live in a society that is becoming increasingly digitized. Cloud computing is more popular than ever, and digital extensions appear everywhere. Over the past decade IoT and edge computing have emerged with smartwatches, ...

Ontology-based visual query systems enable users to construct ad-hoc queries in a way that is intuitive, and which allows them to receive feedback directly from the system interface. In this query construction setting, ...

Denne oppgaven undersøker hvordan personer velger et digitalt verktøy, og hvordan design kan bidra til å forenkle denne valgprosessen. Oppgaven ser på eksisterende litteratur innenfor interaksjonsdesign, valgmønstre og ...

I denne masteroppgaven blir det presentert en beskrivelse av hvordan Kjernejournal systemet har blitt utviklet, implementert og tatt i bruk og hvordan komplekse nettverk med menneskelige og ikke-menneskelig aktører former ...

Designing robots by hand is often both costly and time consuming. In order to create robots automatically, without the need for human intervention, it is necessary to optimise both the behaviour and the body design of the ...

This thesis analysis the effects of software coding errors on cybersecurity by using static code analysis tools. Software coding errors can have different types of effect ́s on cybersecurity. The research is done from a ...

THIS STUDY REPORTS ON AN EXPERIMENT THAT tested whether drummers systematically manipulated not only onset but also duration and/or intensity of strokes in order to achieve different timing styles. Twenty-two professional ...

Background: As the industry of software engineering often requires the employees to work in a team setting using agile methods, it is important to teach bachelor students of software engineering these skills. Courses that ...

Automated essay scoring (AES) of student essays aims to train an AES model by applying machine learning (ML) techniques to predict grades on essays written by students in, i.e. a primary school setting. There are many ...

The aim of this workshop is to address the role that human autonomy presently receives in HCI research and how “autonomous technologies” might challenge, rather than facilitate human autonomy. We acknowledge a need for new ...

This master thesis is an empirical investigation of learning with technology in an introductory design course at the University of Oslo and its students. The overarching goal of the thesis is to make design considerations ...

Abstract In this thesis I examine the development and implementation of the DHIS2 Online Academy Fundamentals course. The objective is to evaluate the course and answer these research questions: 1) Does the Online Fundamentals ...

Automated essay scoring (AES) of student essays aims to train an AES model by applying machine learning (ML) techniques to predict grades on essays written by students in, i.e. a primary school setting. There are many ...

Wireless Sensor Networks (WSNs) typically include thousands of resource-constrained sensors to monitor their surroundings, collect data, and transfer it to remote servers for further processing. Although WSNs are considered ...

With the number of devices connected to the internet increasing rapidly, we have entered an immense computerized uprising of the Internet of Things (IoT) era. The popularity of IoT systems and devices makes the security ...

Background: Coordination is a crucial aspect of agile software development. Managing dependencies is important for efficient coordination. Understanding what activities and artifacts manage different dependencies can help ...

Data is underdetermined when there are variables whose values are unknown and the legal instantiations of these variables depend on given factors and the corresponding domain knowledge. The problem of instantiating the ...

With the advent of high-density multi-electrode arrays we are now able to measure the activity of hundreds of neurons simultaneously, even at the sub-cellular level. However, next-generation devices introduce novel grand ...

Design patterns in software engineering is a useful concept for developers to solve a software design problem in a specific context. With the advent of mobile devices and mobile application development, the demand for ...

Denne masteroppgaven baserer seg på teori fra allerede kjente algoritmer, samt noen nye algoritmer for å finne primtall og primtallsørkener. En primtallsørken er avstanden fra et primtall til neste påfølgende primtall. For ...

Quality information on vulnerable children is intrinsic for making evidence-based decisions at the macro, meso and micro level, impacting millions of children’s personal development. However, a contemporary lack of information ...

Cloud computing is a new and disruptive technological paradigm to leverage on demand computing resources over the internet. Though many cloud service providers provide their computing services to their users across the ...

Smartphones are personal, handheld, mobile devices that are Internet-enabled and intended to be “always-on”. Unfortunately, the possibilities of a smartphone are limited when compared to a desktop/laptop computer. The web ...

This paper analyzes work activity in the home, e.g., cleaning, performed by two actors, a human and a robot. Nowadays, there are attempts to automate this activity through the use of robots. However, the activity of cleaning, ...

A software ecosystem consists of a shared software platform, where internal and external developers interact to deliver software to customers. Software ecosystems are reliant on external developers creating innovation for ...

Contactless methods for measurement of physiological functions are highly sought after in industry and medicine. Electromagnetic based monitoring systems have shown to be a promising contactless technique for measurements ...

Chatbots represent new opportunities for low-threshold preventive mental health support to youths. To provide needed knowledge regarding how to design chatbots for this purpose, we present an exploratory design study where ...

Rural areas are less attractive and sustainable for people and businesses alike, partially due to inadequate transport services. In this paper, we address transport-related challenges in rural Norway. The focal aspect of ...

The aim of this study was the analysis of the risk associated with direct oral anticoagulants (DOACs) in patients undergoing non-elective operations on the proximal aorta due to aortic disease.Methods and resultsData from ...

The number of services that connect to the Internet is steadily increasing. Applications integrate with each other more than ever before. As such, the possible attack surface of a given entity is ever increasing as well. ...

Rust is a multi-paradigm system programming language focused on performance and reliability. Its rich type system offers memory and thread-safety guarantees at compile-time. Therefore, Rust forbids simultaneous sharing and ...

Background The human microbiota contributes to health and well-being. Antimicrobials (AM) have an immediate effect on microbial diversity and composition in the gut, but next to nothing is known about their long-term ...

The heavy workload at highly busy health facilities in the rural and semi-rural areas in Malawi makes the regular work routines extra hard for the health workers. Many of those areas use fully paper-based systems that ...

Accurate knowledge of the seabed is of vital importance for many human endeavors. Applications range from safe navigation to climate change models. Swath sonars are a key tool for efficient and high-resolution mapping of ...

Background The dementia subtype idiopathic normal pressure hydrocephalus (iNPH) has unknown etiology, but one characteristic is elevated intracranial pressure (ICP) wave amplitudes in those individuals who respond with ...

EVA er hovedstøttesystemet for valggjennomføring for kommunene og fylkeskommunene i Norge. Som sådan er det kritisk for samfunnet at systemet oppfører seg som forventet. Ved å bruke formelle metoder kan det påvises at ...

The objective of this thesis is to examine how the information security is managed surrounding a District Health Information System, version 2 (DHIS2) in the health service of an anonymous developing country. The developing ...

Autoantibodies to transglutaminase 2 (TG2) are hallmarks of celiac disease. To address B cell tolerance and autoantibody formation to TG2, we generated immunoglobulin knock-in (Ig KI) mice that express a prototypical celiac ...

The study focuses on fragmented information awareness as a result of the cross-use of Digital Learning Environments (DLEs), rather than focusing on the use of individual Learning Management Systems (LMSs). This study goes ...

Machine Learning (ML) models have proven to perform well in a broad range of prediction challenges. However, ML models require discriminating data to learn patterns and be capable of performing predictions. In this master ...

While mobile technology has massive potential in improving health-related data collection and management in developing countries, failure rates of such projects are high, and many projects fail to materialize beyond ...

Colorectal cancercolorectal cancer (CRC) is a widespread disease which is a threat to public health. Abnormalities in the colon, like polyps, can become cancerous. It is important to detect polyps early, in order to prevent ...

Spectral Doppler measurements are an important part of the standard echocardiographic examination. These measurements give insight into myocardial motion and blood flow providing clinicians with parameters for diagnostic ...

Reinforcement learning is a field within machine learning which trains agents to solve problems by trial and error. A reinforcement learning agent interacts with the environment through actions. Depending on the outcome ...

Given the relevance of coordination in the field of global software engineering, this work was carried out to further understand coordination mechanisms. Specifically, we investigated meetings and the collaboration tool ...

A large amount of health data is gathered through various health institutions all over the world. The District Health Information Software 2 (DHIS2) is a Health Management Information System (HMIS) used in over 100 countries. ...

Background: In precision cancer medicine, the challenge is to prioritize DNA driver events, account for resistance markers, and procure sufficient information for treatment that maintains patient safety. The MetAction ...

We have previously proposed a security classification methodology for IoT systems and have applied it to the smart grid and smart home domain. This method departs from classical risk analysis and certification methods in ...