Sökning: "Survival models"

Visar resultat 1 - 5 av 158 uppsatser innehållade orden Survival models.

  1. 1. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Marisa Wodrich; [2024]
    Nyckelord :Uncertainty quantification; Deep learning; Breast cancer classification; Trustworthy AI; Point-of-care ultrasound; Mathematics and Statistics;

    Sammanfattning : Breast cancer is the most common type of cancer worldwide with an estimate of 2.3 million new cases in 2020, and the number one cause of cancer-related deaths in women. LÄS MER

  3. 2. Competition and Physician Turnover: Evidence from Swedish Primary Care Units

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :BELIT AY; [2023-10-10]
    Nyckelord :;

    Sammanfattning : The Swedish government has over the years implemented several reforms to improve health care system and ensure continuity of care. One of the reforms, The Act on Free Choice, was implemented between 2007 and 2010 providing patients a free choice to choose a provider and private providers to freely enter the market; thereby, increasing the competition among providers. LÄS MER

  4. 3. A computational model of metapopulation dynamics and organism-mediated nutrient flow

    Master-uppsats, Göteborgs universitet / Institutionen för biologi och miljövetenskap

    Författare :Amanda Hansson; [2023-08-07]
    Nyckelord :computational model; population dynamics; metapopulation dynamics; nutrient flow; simulation; spatially explicit; individual-based;

    Sammanfattning : The aim of this project was to assess, using in-silico experiments, how different life history char-acteristics, such as age at maturity and dispersal ability of individuals, influence the dynamics of a metapopulation. To achieve this, a novel model of a spatially explicit metapopulation, with organ-ism-mediated nutrient flow between fragmented habitat patches, was implemented by means of computer simulations. LÄS MER

  5. 4. INVESTIGATING THE COVARIANCE BETWEEN RAINFALL AND MALE ELEPHANT MOVEMENT - To Reduce Human-Elephant Conflict

    Kandidat-uppsats, Göteborgs universitet / Institutionen för biologi och miljövetenskap; Göteborgs universitet / Institutionen för biologi och miljövetenskap

    Författare :Sara Ros; [2023-06-22]
    Nyckelord :Loxodonta africana; Elephants; Botswana; Human-Elephant Conflict; HEC; HumanWildlife Conflict; HWC; Conservation; Musth; Bulls; Rainfall;

    Sammanfattning : Human-wildlife conflict threatens the survival of a range of species, including the savannah elephant (Loxodonta africana). Villages bordering the Makgadikgadi Pans National Park in Botswana are among the most affected by human-elephant conflict, and it is crucial to identify contributing factors to develop mitigation strategies. LÄS MER

  7. 5. Image-classification for Brain Tumor using Pre-trained Convolutional Neural Network : Bildklassificering för hjärntumör medhjälp av förtränat konvolutionell tneuralt nätverk

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Ahmad Osman; Bushra Alsabbagh; [2023]
    Nyckelord :Brain tumor; Deep learning; Convolutional Neural Network CNN ; diagnosis; Image classification; pre-trained models; dataset; economic impact.; Cancer; Hjärntumör; Artificiell intelligens AI ; djupinlärning; konvolutionellt neuralt nätverk CNN ; Diagnostik; Bildklassificering; förtränade modeller; dataset.;

    Sammanfattning : Brain tumor is a disease characterized by uncontrolled growth of abnormal cells inthe brain. The brain is responsible for regulating the functions of all other organs,hence, any atypical growth of cells in the brain can have severe implications for itsfunctions. The number of global mortality in 2020 led by cancerous brains was estimatedat 251,329. LÄS MER