Sökning: "data modeling"

Visar resultat 11 - 15 av 1888 avhandlingar innehållade orden data modeling.

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

   Författare :Mahbub Ul Alam; Rahim Rahmani; Jaakko Hollmén; Sadok Ben Yahia; Stockholms universitet; []
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

3. 12. Synthetic data for visual machine learning : A data-centric approach

   Författare :Apostolia Tsirikoglou; Jonas Unger; Gabriel Eilertsen; Anders Ynnerman; Philipp Slusallek; Linköpings universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Training data; Synthetic images; Computer graphics; Generative modeling; Natural images; Histopathology; Digital pathology; Machine learning; Deep learning;

   Sammanfattning : Deep learning allows computers to learn from observations, or else training data. Successful application development requires skills in neural network design, adequate computational resources, and a training data distribution that covers the application do-main. LÄS MER

4. 13. Modeling Organizational Dynamics : Distributions, Networks, Sequences and Mechanisms

   Författare :Hernan Mondani; Fredrik Liljeros; Rickard Sandell; Stockholms universitet; []
   Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; organizational dynamics; social organizing; organizational change; modeling; organizational growth; process stability; labor flow network; employment trajectories; heavy-tailed distributions; complex network analysis; sequence analysis; agent-based modeling; sociophysics; Sociology; sociologi;

   Sammanfattning : The study of how social organizations work, change and develop is central to sociology and to our understanding of the social world and its transformations. At the same time, the underlying principles of organizational dynamics are extremely difficult to investigate. LÄS MER

5. 14. Learning Predictive Models from Electronic Health Records

   Författare :Jing Zhao; Lars Akser; Henrik Boström; Nada Lavrač; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Data Science; Machine Learning; Predictive Modeling; Data Representation; Health Informatics; Electronic Health Records; Computer and Systems Sciences; data- och systemvetenskap;

   Sammanfattning : The ongoing digitization of healthcare, which has been much accelerated by the widespread adoption of electronic health records, generates unprecedented amounts of clinical data in a readily computable form. This, in turn, affords great opportunities for making meaningful secondary use of clinical data in the endeavor to improve healthcare, as well as to support epidemiology and medical research. LÄS MER

7. 15. User Modeling for Adaptive Virtual Reality Experiences : Personalization from Behavioral and Physiological Time Series

   Författare :Luis Quintero; Uno Fors; Lijffijt Jefrey; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; virtual reality; VR; machine learning; ML; user modeling; personalization; wearable; heart rate; HRV; biosensors; movement; behavioral; user experience; UX; spatial computing; metaverse; extended reality; XR; data- och systemvetenskap; Computer and Systems Sciences;

   Sammanfattning : Research in human-computer interaction (HCI) has focused on designing technological systems that serve a beneficial purpose, offer intuitive interfaces, and adapt to a person's expectations, goals, and abilities. Nearly all digital services available in our daily lives have personalization capabilities, mainly due to the ubiquity of mobile devices and the progress that has been made in machine learning (ML) algorithms. LÄS MER