English
norskBlar i forfatter "Yigzaw, Kassaye Yitbarek"
Viser treff 1-10 av 10
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The association between health information seeking on the internet and physician visits (The Seventh Tromsø Study - Part 4): Population-based questionnaire study
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020-03-05)Background: The internet is being widely used for seeking health information. However, there is no consensus on the association between health information seeking on the internet and the use of health care services. Objective: We examined the association between health information seeking via the internet and physician visits. In addition, we investigated the association between online health ... -
De-identifying Swedish EHR text using public resources in the general domain
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020)Sensitive data is normally required to develop rule-based or train machine learning-based models for de-identifying electronic health record (EHR) clinical notes; and this presents important problems for patient privacy. In this study, we add non-sensitive public datasets to EHR training data; (i) scientific medical text and (ii) Wikipedia word vectors. The data, all in Swedish, is used to train a ... -
Electronic Health Use in a Representative Sample of 18,497 Respondents in Norway (The Seventh Tromsø Study - Part 1): Population-Based Questionnaire Study
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020-03-05)<p><i>Background:</i> Electronic health (eHealth) services may help people obtain information and manage their health, and they are gaining attention as technology improves, and as traditional health services are placed under increasing strain. We present findings from the first representative, large-scale, population-based study of eHealth use in Norway. <p><i>Objective:</i> The objectives of ... -
Impact of Illness on Electronic Health Use (The Seventh Tromsø Study - Part 2): Population-Based Questionnaire Study
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020-03-05)<p><i>Background:</i> Patients who suffer from different diseases may use different electronic health (eHealth) resources. Thus, those who plan eHealth interventions should take into account which eHealth resources are used most frequently by patients that suffer from different diseases. <p><i>Objective:</i> The aim of this study was to understand the associations between different groups of chronic ... -
Impact of the use of electronic health tools on the psychological and emotional well-being of electronic health service users (The Seventh Tromsø Study - Part 3): Population-based questionnaire study
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020-03-05)<p><i>Background:</i> Electronic health (eHealth) has been described as a silver bullet for addressing how challenges of the current health care system may be solved by technological solutions in future strategies and visions for modern health care. However, the evidence of its effects on service quality and cost effectiveness remains unclear. In addition, patients’ psychological and emotional ... -
Privacy-preserving architecture for providing feedback to clinicians on their clinical performance
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020-06-22)<i>Background</i> - Learning from routine healthcare data is important for the improvement of the quality of care. Providing feedback on clinicians’ performance in comparison to their peers has been shown to be more efficient for quality improvements. However, the current methods for providing feedback do not fully address the privacy concerns of stakeholders.<p><p> <i>Methods</i> - The paper ... -
Privacy-preserving audit and feedback on the antibiotic prescribing of General Practitioners
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-07-13)Background: Antibiotic resistance is a worldwide public health problem that is accelerated by the misuse and overuse of antibiotics. Studies have shown that audits and feedback enable clinicians to compare their personal clinical performance with that of their peers and are effective in reducing the inappropriate prescribing of antibiotics. However, privacy concerns make audits and feedback hard ... -
Secure and scalable deduplication of horizontally partitioned health data for privacy-preserving distributed statistical computation
(Journal article; Tidsskriftartikkel; Peer reviewed, 2017-01-03)Background: Techniques have been developed to compute statistics on distributed datasets without revealing private information except the statistical results. However, duplicate records in a distributed dataset may lead to incorrect statistical results. Therefore, to increase the accuracy of the statistical analysis of a distributed dataset, secure deduplication is an important preprocessing step.<p><p> ... -
Secure and scalable statistical computation of questionnaire data in R
(Journal article; Tidsskriftartikkel; Peer reviewed, 2016-08-12)Collecting data via a questionnaire and analyzing them while preserving respondents' privacy may increase the number of respondents and the truthfulness of their responses. It may also reduce the systematic differences between respondents and non-respondents. In this paper, we propose a privacy- preserving method for collecting and analyzing survey responses using secure multi-party computation. The ... -
Snow integrated communicable disease prediction service
(Master thesis; Mastergradsoppgave, 2012-06-15)Objective: This thesis mainly focused on construction of an integrated infectious disease prediction service that predicts and visualizes prediction results in time and space. Methods: We have used weekly aggregated laboratory confirmed cases of various diseases collected from the Snow system, which is an infectious disease surveillance system that covers Troms and Finnmark counties of north Norway. ...
