Search for dissertations about: "data mining in health care"
Showing result 1 - 5 of 12 swedish dissertations containing the words data mining in health care.
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1. Understanding quality improvement in care: The case of public care procurement and process mining
Abstract : Healthcare is facing challenges of increased cost and complexity originating from factors such as new technology and diversified treatments, increased life expectancy, an ageing population, and multi-comorbidity, making the need for Quality Improvement (QI) in care highly relevant. This is, however, easier said than done, considering that healthcare is complex, dynamic, ad-hoc, and multidisciplinary. READ MORE
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2. Method Usefulness for Quality Improvement in Care
Abstract : Complexity in care arises from several concurrent sources, such as siloed care organisations and complex care processes handled by several medical specialities. Due to factors including the ongoing development of personalised care and increasingly older populations suffering from multi-sickness, care complexity can only be expected to increase. READ MORE
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3. Mining Clinical Text in Cancer Care
Abstract : Health care and clinical practice generate large amounts of text detailing symptoms, test results, diagnoses, treatments, and outcomes for patients. This clinical text, documented in health records, is a potential source of knowledge and an underused resource for improved health care. READ MORE
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4. Participatory approach to data warehousing in health care : UGANDA’S Perspective
Abstract : This licentiate thesis presents the use of participatory approach to developing a data warehouse for data mining in health care. Uganda is one of the countries that faced the largest brunt of the HIV/AIDS epidemic at its inception in the early 1980s with reports of close to a million deaths. READ MORE
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5. Information structures and workflows in health care informatics
Abstract : Patient data in health care have traditionally been used to support direct patient care. Although there is great potential in combining such data with genetic information from patients to improve diagnosis and therapy decisions (i.e. READ MORE