Sökning: "medical model of disease"

Visar resultat 11 - 15 av 77 uppsatser innehållade orden medical model of disease.

  1. 11. Egenvårdens betydelse för patienter med typ-2 diabetes : En litteraturöversikt

    Kandidat-uppsats, Röda Korsets Högskola

    Författare :Maroh Molander; Frida Svärd; [2023]
    Nyckelord :Diabetes type-2; experiences; patient; self-care; Diabetes typ-2; egenvård; patient; upplevelser;

    Sammanfattning : Bakgrund: Typ-2 diabetes är ett globalt ökande folkhälsoproblem som kan leda till livshotande komplikationer, reducerad livskvalité och ökade vårdkostnader. Att leva med en kronisk sjukdom kräver ansvar över egenvård då sjukdomen även förknippas med livsstilen. LÄS MER

  3. 12. Evaluation of whole-body bone scans performed using a gamma camera with Cadmium Zinc Telluride detector

    Master-uppsats,

    Författare :Victor Asp; [2022-01-13]
    Nyckelord :Medical physics; whole-body bone scans; gamma camera; Cadmium Zinc Telluride detector;

    Sammanfattning : The bone scan is a common nuclear medicine imaging procedure that is mainly used for evaluating several oncological patient groups. A radioactive tracer, 99mTc -labelled diphosphonate, is injected intravenously and accumulates in the skeleton. The distribution of the tracer in the body is measured with a gamma camera 3 hours post-injection. LÄS MER

  4. 13. CondBEHRT: A Conditional Probability Based Transformer for Modeling Medical Ontology

    Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Linus Lerjebo; Johannes Hägglund; [2022]
    Nyckelord :Artificial Intelligence; Explainable AI; Machine Learning; Deep Learning; Data Mining; Electronic Health Records; Transformer; Graph Neural Network; Natural Language Processing; Hypertension; Kidney Disease; Heart Failure; Medical Ontology;

    Sammanfattning : In recent years the number of electronic healthcare records (EHRs)has increased rapidly. EHR represents a systematized collection of patient health information in a digital format. EHR systems maintain diagnoses, medications, procedures, and lab tests associated with the patients at each time they visit the hospital or care center. LÄS MER

  5. 14. Feature extraction with self-supervised learning on eye-tracking data from Parkinson’s patients and healthy individuals

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Leo Bergman; [2022]
    Nyckelord :Eye-tracking; Representation learning; Self-supervised learning; Parkinson’s disease; Feature extraction; Clustering analysis; Ögonspårning; Särdragsextraktion; Parkinsonssjukdom; Representationsinlärning; Maskininlärning; Klustring;

    Sammanfattning : Eye-tracking is a method for monitoring and measuring eye movements. The technology has had a significant impact so far and new application areas are emerging. Today, the technology is used in the gaming industry, health industry, self-driving cars, and not least in medicine. LÄS MER

  7. 15. Risk Stratification of Acute Coronary Syndrome using Machine Learning : An analysis of CLEOS-CPDS data

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Glacier Ali; Rebecka Gustavsson; [2022]
    Nyckelord :Chest pain; Acute coronary syndrome; Computerized history taking; Machine learning; Risk stratification; Bröstsmärtor; Akuta koronara syndrom; Digitaliserad insamling av medicinsk bakgrund; Maskininlärning; Riskbedömning;

    Sammanfattning : Chest pain is one of the most common complaints amongst patients seeking urgent medical care at hospitals. Chest pain can be a symptom of serious cardiovascular disease such as acute coronary syndrome (ACS), however, most underlying causes are benign. Risk stratification in early stages of medical evaluation is difficult. LÄS MER