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Results 1-11 of 11
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Doctoral project: Reuse of health data, combing the best of two worlds A method for automatic generation of features with high predictive power based on domain knowledge.
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Project: Appropriate use of medicines among the elderly in Småland The overall aim with the project ”Appropriate use of medicines among the elderly in Småland” is to improve use of medicines among the…
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Project: Drug use in Coronary Heart Disease The project investigates how healthcare can support patients with coronary heart disease in their use of medicines, so that patients feel well today and at…
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Project: eHealth Arena eHealth Arena is a combined eHealth arena for industry, health and social care, academia and the public. The Arena is a long-term investment initiated by Kalmar County Council,…
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Project: Expecting a child in Arabic and Swedish! Norm-critical innovative design for interactive antenatal care Funding organisation: Vinnova Project description Conditions for health care in Sweden…
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Project: Experiences of digital patient history recording The scientific purpose of this project is to investigate in what way the introduction of digital anamnesis and e-triage affect the quality of…
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Project: Prediction of medication risks and drug-related problems Medication related problems is a major problem for society, especially with an ageing population and increasing use of medicines. This…
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Project: Regional development in welfare technology and e-health services in cooperation (RUVeS) The project RUVeS is managed by the eHealth Institute at Linnaeus university, Sweden, in cooperation…
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Project: Using past data to prevent future fractures Certain types of medication increase the risk of osteoporosis and fractures. In this research project, we develop a risk assessment tool which can…
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Seed project: Data intensive analysis for identification and prediction of risk medications The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and…
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Seed project: Development of an intelligent wearable – the DIWAH study The overall goal of the research in this seeding project within the Linnaeus University Center for Data Intensive Sciences and…