Search for dissertations about: "Healthcare analytics"

Showing result 1 - 5 of 7 swedish dissertations containing the words Healthcare analytics.

  2. 1. 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

  4. 2. Implementation and use of Web-based National Guidelines in Child Healthcare

    Author : Johanna Tell; Johan Sanmartin Berglund; Ewy Olander; Peter Anderberg; Blekinge Tekniska Högskola; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Child healthcare; nurses; health promotion; information and communication technology; implementation; applied health technology;

    Abstract : In Sweden, child healthcare (CHC) is an important health promotion setting, providing universal and targeted interventions. High demands on child healthcare and the competences of CHC nurses, highlight the importance of access to supportive web-based guidelines in everyday work. READ MORE

  5. 3. Towards an Earlier Detection of Progressive Multiple Sclerosis using Metabolomics and Machine Learning

    Author : Stephanie Herman; Kim Kultima; Ola Spjuth; Joachim Burman; Johan Lengqvist; Camilla Svensson; Gabi Kastenmüller; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; bioinformatics; biomarkers; progressive multiple sclerosis; metabolomics; machine learning; advanced analytics; mass spectrometry;

    Abstract : Decision-making guided by advanced analytics is becoming increasingly common in many fields. Implementing computationally driven healthcare solutions does, however, pose ethical dilemmas as it involves human health. READ MORE

  6. 4. Data-Driven Decision Support Systems for Product Development - A Data Exploration Study Using Machine Learning

    Author : Omsri Aeddula; Tobias Larsson; Johan Wall; Peter Anderberg; Johan Sanmartin Berglund; Mehdi Tarkian; Blekinge Tekniska Högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Product Development; Data-driven DSS; Machine Learning; Conceptual Stage; Data Analytics; Maskinteknik; Mechanical Engineering; Maskinteknik; Mechanical Engineering;

    Abstract : Modern product development is a complex chain of events and decisions. The ongoing digital transformation of society, increasing demands in innovative solutions puts pressure on organizations to maintain, or increase competitiveness. READ MORE

  7. 5. Eliminating guesswork : an exploration of the role of predictive modelling in care management for patients with multimorbidities

    Author : Muhammad Rafiq; Karolinska Institutet; Karolinska Institutet; []
    Keywords : ;

    Abstract : Introduction: Patients with multiple chronic conditions of diabetes, cardiovascular and kidney diseases are one of the most complex group of patients and high consumers of care. Multidisciplinary integrated care delivery models such as Integrated Practice Units have been introduced to improve patient care and reduce health care utilization through offering comprehensive and coordinated care. READ MORE