Search for dissertations about: "Systematic Observation"

Showing result 1 - 5 of 66 swedish dissertations containing the words Systematic Observation.

  1. 1. Mild primary hyperparathyroidism - Long-term effects of parathyroidectomy versus observation - with emphasis on skeletal outcomes

    Author : Karolina Lundstam; Göteborgs universitet; Göteborgs universitet; Gothenburg University; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; primary hyperparathyroidism; parathyroidectomy; observation; vertebral fractures; peripheral fractures; kidney stones; radiography; bone mineral density; dual-energy x-ray absorptiometry; mortality;

    Abstract : Background: The majority of patients with primary hyperparathyroidism (PHPT) in developed countries today present with no obvious symptoms, i.e. the mild form of the disease. READ MORE

  2. 2. Development, application, and reliability of methods for ergonomic workload assessments in production evaluation and workstation design

    Author : Ida-Märta Rhen; Chalmers University of Technology; []
    Keywords : TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; MEDICIN OCH HÄLSOVETENSKAP; ENGINEERING AND TECHNOLOGY; ENGINEERING AND TECHNOLOGY; MEDICAL AND HEALTH SCIENCES; Work-related Musculoskeletal Disorders; Risk assessment; Direct measurement; Biomechanical Exposure; Systematic Observation; Digital Human Modelling; Ergonomics; Workplace Design; Simulation; Reliability;

    Abstract : Ergonomics assessments of conditions for humans at workstations and in manufacturing processes are necessary to prevent work-related musculoskeletal disorders and enhance efficiency and quality. Many methods can be used for this from systematic observations to direct measurements and simulation. READ MORE

  3. 3. Efficient strategies for collecting posture data using observation and direct measurement

    Author : Per Liv; Svend Erik Mathiassen; Marina Heiden; Leif Nilsson; Ingvar Bergdahl; Stephen Bao; Umeå universitet; []
    Keywords : MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Exposure assessment; arm elevation; exposure variability; variance components; random effects model; precision; bias; sample size; sample allocation; calibration; bootstrapping; Occupational and Environmental Medicine; arbets- och miljömedicin;

    Abstract : Relationships between occupational physical exposures and risks of contracting musculoskeletal disorders are still not well understood; exposure-response relationships are scarce in the musculoskeletal epidemiology literature, and many epidemiological studies, including intervention studies, fail to reach conclusive results. Insufficient exposure assessment has been pointed out as a possible explanation for this deficiency. READ MORE

  4. 4. Mild head injury : inhospital observation or computed tomography?

    Author : Jean-Luc af Geijerstam; Karolinska Institutet; Karolinska Institutet; []
    Keywords : MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; Decision analysis; inhospital observation; management strategy; metaanalysis; mild head injury; randomised controlled trial; systematic review; tomography; x-ray computed; triage.;

    Abstract : Background: Patients with mild head injuries are treated every day in emergency departments around the world. The rationale for any management strategy is to identify with a high degree of safety at reasonable costs, patients at risk of deterioration due to serious intracranial injuries. READ MORE

  5. 5. Analyzing Vegetation Trends with Sensor Data from Earth Observation Satellites

    Author : Sadegh Jamali; Institutionen för naturgeografi och ekosystemvetenskap; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Change detection; Satellite sensor data; Time series analysis; Vegetation dynamics; Vegetation index;

    Abstract : Abstract This thesis aims to advance the analysis of nonlinear trends in time series of vegetation data from Earth observation satellite sensors. This is accomplished by developing fast, efficient methods suitable for large volumes of data. READ MORE