Search for dissertations about: "thesis in Medical informatics"

Showing result 1 - 5 of 67 swedish dissertations containing the words thesis in Medical informatics.

  2. 1. ePrescribing : Studies in Pharmacoinformatics

    Author : Bengt Åstrand; Göran Petersson; Sven Tågerud; Anders Ekedahl; Albert Wertheimer; Högskolan i Kalmar; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Community Pharmacy Services; Decision Making; computer-assisted; Drug Interactions; Drug Utilization statistics numerical data; ePrescribing; Medical Informatics; Medication Errors prevention control; Pharmacoinformatics; Polypharmacy; Medical informatics; Medicinsk informatik; Pharmacology; Farmakologi;

    Abstract : Det övergripande syftet med den här avhandlingen har varit att, inom området läkemedelsinformatik, studera utvecklingen av elektroniska stöd inom läkemedelsförskrivning; för klinisk praxis, uppföljning och forskning.Under århundraden har det handskrivna receptet varit det sätt, med vilket läkare förmedlat sina läkemedelsordinationer till apotekare, vilket också för patienten blivit en informationskälla för hur läkemedel ska användas för att göra bästa nytta. READ MORE

  4. 2. Building Usability into Health Informatics : Development and Evaluation of Information Systems for Shared Homecare

    Author : Isabella Scandurra; Sabine Koch; Bengt Sandblad; Margareta Ehnfors; Uppsala universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; health informatics; participatory design; user centred design; homecare services; cooperative work; integrated health information systems; mobile devices; usability evaluation; Medical informatics; Medicinsk informatik;

    Abstract : How can we develop usable and work process-oriented ICT systems for shared homecare?Shared homecare involves different professionals, consists of mobile work and requires immediate and ubiquitous access to patient-oriented information, supporting an integrated view on the care process.This thesis presents a new collaborative design method for user needs analysis and requirements specification in the context of health information systems development; the Multi-disciplinary Thematic Seminar (MdTS) method. READ MORE

  5. 3. New targeted therapies for malignant neural tumors : From systematic discovery to zebrafish models

    Author : Elin Almstedt; Sven Nelander; Rogier Versteeg; Uppsala universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; neuroblastoma; glioblastoma; data integration; zebrafish models; precision medicine; Oncology; Onkologi; Medical Cell Biology; Medicinsk cellbiologi; Medical Informatics; Medicinsk informatik; Farmakokinetik och läkemedelsterapi; Pharmacokinetics and Drug Therapy; Molekylär medicin; Molecular Medicine;

    Abstract : Cancers in the neural system presents a major health challenge. The most aggressive brain tumor in adults, glioblastoma, has a median survival of 15 months and few therapeutic options. High-risk neuroblastoma, a childhood tumor originating in the sympathetic nervous system, has a 5-year survival under 50%, despite extensive therapy. READ MORE

  6. 4. Deep Regression and Segmentation for Medical Inference from Large-Scale Magnetic Resonance Imaging

    Author : Taro Langner; Joel Kullberg; Anders Eklund; Uppsala universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Magnetic resonance imaging; medical image analysis; neural networks; machine learning; semantic segmentation; deep regression; saliency analysis; uncertainty quantification; UK Biobank; Medical Informatics; Medicinsk informatik;

    Abstract : Large-scale studies, such as UK Biobank, acquire medical imaging data for thousands of participants. With magnetic resonance imaging (MRI), comprehensive representations of human anatomy can be provided for non-invasive assessments of health-related conditions, body composition, organ volumes, and more. READ MORE

  7. 5. Advancing Clinical Decision Support Using Machine Learning & the Internet of Medical Things : Enhancing COVID-19 & Early Sepsis Detection

    Author : Mahbub Ul Alam; Rahim Rahmani; Jaakko Hollmén; Sadok Ben Yahia; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Internet of Medical Things; Patient-Centric Healthcare; Clinical Decision Support System; Predictive Modeling in Healthcare; Health Informatics; Healthcare analytics; COVID-19; Sepsis; COVID-19 Detection; Early Sepsis Detection; Lung Segmentation Detection; Medical Data Annotation Scarcity; Medical Data Sparsity; Medical Data Heterogeneity; Medical Data Security Privacy; Practical Usability Enhancement; Low-End Device Adaptability; Medical Significance; Interpretability; Visualization; LIME; SHAP; Grad-CAM; LRP; Electronic Health Records; Thermal Image; Tabular Medical Data; Chest X-ray; Machine Learning; Deep Learning; Federated Learning; Semi-Supervised Machine Learning; Multi-Task Learning; Transfer Learning; Multi-Modality; Natural Language Processing; ClinicalBERT; GAN; data- och systemvetenskap; Computer and Systems Sciences;

    Abstract : This thesis presents a critical examination of the positive impact of Machine Learning (ML) and the Internet of Medical Things (IoMT) for advancing the Clinical Decision Support System (CDSS) in the context of COVID-19 and early sepsis detection.It emphasizes the transition towards patient-centric healthcare systems, which necessitate personalized and participatory care—a transition that could be facilitated by these emerging fields. READ MORE