Blar i Fakultet for informasjonsteknologi og elektroteknikk (IE) på tidsskrift "BMC Medical Informatics and Decision Making"
Viser treff 1-10 av 10
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Acceptance and use of a clinical decision support system in musculoskeletal pain disorders – the SupportPrim project
(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) ... -
An open access medical knowledge base for community driven diagnostic decision support system development
(Journal article; Peer reviewed, 2019)Introduction While early diagnostic decision support systems were built around knowledge bases, more recent systems employ machine learning to consume large amounts of health data. We argue curated knowledge bases will ... -
Care episode retrieval: Distributional semantic models for information retrieval in the clinical domain
(Journal article; Peer reviewed, 2015)Patients' health related information is stored in electronic health records (EHRs) by health service providers. These records include sequential documentation of care episodes in the form of clinical notes. EHRs are used ... -
Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes
(Peer reviewed; Journal article, 2022)Background Patient-reported outcome measurements (PROMs) are commonly used in clinical practice to support clinical decision making. However, few studies have investigated machine learning methods for predicting PROMs ... -
KGen: a knowledge graph generator from biomedical scientific literature
(Peer reviewed; Journal article, 2020)Background Knowledge is often produced from data generated in scientific investigations. An ever-growing number of scientific studies in several domains result into a massive amount of data, from which obtaining new ... -
Neural classification of Norwegian radiology reports: using NLP to detect findings in CT-scans of children
(Peer reviewed; Journal article, 2021)Background With a motivation of quality assurance, machine learning techniques were trained to classify Norwegian radiology reports of paediatric CT examinations according to their description of abnormal findings. M ... -
Reviewing Clinical Guideline Development Tools: Features and Characteristics
(Journal article; Peer reviewed, 2017)Background To improve consistency and streamline development and publication of clinical guidelines (GL), there is a need for appropriate software support. We have found few specific tools for the actual authoring and ... -
Testing an individualized digital decision assist system for the diagnosis and management of mental and behavior disorders in children and adolescents
(Journal article; Peer reviewed, 2020)Background Nearly half of all mental health disorders develop prior to the age of 15. Early assessments, diagnosis, and treatment are critical to shortening single episodes of care, reducing possible comorbidity and ... -
Testing an individualized digital decision assist system for the diagnosis and management of mental and behavior disorders in children and adolescents
(Journal article; Peer reviewed, 2020) -
The development and feasibility of a personal health-optimization system for people with bipolar disorder
(Journal article; Peer reviewed, 2017)Background People with bipolar disorder often experience ill health and have considerably reduced life expectancies. Suboptimal treatment is common and includes a lack of effective medicines, overtreatment, and non-adherence ...