Sökning: "Diabetes Prediction"

Visar resultat 1 - 5 av 14 uppsatser innehållade orden Diabetes Prediction.

  1. 1. Time-varying biomarkers modelling for potential prediction of long-term complications and mortality in patients with type 2 diabetes

    Master-uppsats, Uppsala universitet/Institutionen för farmaci

    Författare :Chengli Yu; [2023]
    Nyckelord :;

    Sammanfattning : .... LÄS MER

  3. 2. Identification of epigenetic biomarkers associated with the development of diabetic kidney disease in individuals with type 2 diabetes: a nested cohort study

    Master-uppsats, Lunds universitet/Socialmedicin och global hälsa

    Författare :Marian Paiva Marchiori; [2023]
    Nyckelord :Medicine and Health Sciences;

    Sammanfattning : Introduction. Type 2 diabetes (T2D) is the most common type of diabetes, and it can cause complications such as diabetic kidney disease (DKD), the main cause of end-stage renal disease worldwide. There is an urgent need to develop new biomarkers that would improve DKD’s risk prediction in patients with T2D. LÄS MER

  4. 3. Identification, investigation and prediction of post-COVID phenotypes : Using Cluster analysis and Ordinal logistic regression to determine severity of post-COVID

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Sara Malmquist; Oliver Rykatkin; [2023]
    Nyckelord :K-means; Ordinal logistic regression; Backwards deletion; PCS score; Post-COVID; ROC curve;

    Sammanfattning : It is believed that a large number of people experience remaining symptoms after COVID-19, so-called post-COVID. The formal definition and diagnostic criteria of post-COVID have been a scientific controversy. So far, there is no reliable system for distinguishing the severity of post-COVID. LÄS MER

  5. 4. A Comparison on Supervised and Semi-Supervised Machine Learning Classifiers for Diabetes Prediction

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Lokesh Kola; Vigneshwar Muriki; [2021]
    Nyckelord :Machine Learning; Semi-supervised Learning; Supervised Learning; Diabetes Prediction;

    Sammanfattning : Background: The main cause of diabetes is due to high sugar levels in the blood. There is no permanent cure for diabetes. However, it can be prevented by early diagnosis. In recent years, the hype for Machine Learning is increasing in disease prediction especially during COVID-19 times. LÄS MER

  7. 5. Using Machine Learning techniques to understand glucose fluctuation in response to breathing signals

    Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Nikolaos Karamichalis; [2021]
    Nyckelord :diabetes; machine learning; classification; prediction; cgm; physiological signals; glucose; type 1; d1namo; dataset;

    Sammanfattning : Blood glucose (BG) prediction and classification plays big role in diabetic patients' daily lives. Based on International Diabetes Federation (IDF) in 2019, 463 million people are diabetic globally and the projection by 2045 is that the number will rise to 700 million people. LÄS MER