Search for dissertations about: "MARKUS HJELM"

Found 2 swedish dissertations containing the words MARKUS HJELM.

  2. 1. Case management for older persons with multi-morbidity. Experiences of an intervention from the perspectives of older persons, family members, case managers and health and social care staff members

    Author : MARKUS HJELM; Äldres hälsa och personcentrerad vård; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Aged; Case Management; Case manager; Comorbidity; Continuity of Patient Care; Delivery of Health Care; Ethnography; Family members; Focused Ethnography; Integrated care; Intervention; Interpretive phenomenology; Multi-morbidity; Older persons; Qualitative Research; Thematic analysis; Aged; Case manager; Case management; Comorbidity; Continuity of patient care; Delivery of health care; Ethnography; Family members; Focused ethnography; Integrated care; Intervention; Interpretive phenomenology; Multi-morbidity; Older persons; Qualitative research; Thematic analysis;

    Abstract : Complex health systems make it difficult to ensure a continuity of care for older persons with multi-morbidity, and risk fragmented care. Fragmented care could affect the quality and safety of the care provided. Case management could provide an approach to counteract this unfavourable situation. READ MORE

  4. 2. Holistic Grasping: Affordances, Grasp Semantics, Task Constraints

    Author : Martin Hjelm; Danica Kragic; Markus Vincze; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; robotics; robotic grasping; grasping; cognition; embodied cognition; computer vision; machine learning; artificial intelligence; AI; Gaussian process; Gaussian process latent variable model; GPLVM; 3D vision; point cloud features; robotik; manipulation; datorseende; maskininlärning; artificiell intelligens; kognition; Computer Science; Datalogi;

    Abstract : Most of us perform grasping actions over a thousand times per day without giving it much consideration, be it from driving to drinking coffee. Learning robots the same ease when it comes to grasping has been a goal for the robotics research community for decades. READ MORE