Sökning: "medical techniques"

Visar resultat 1 - 5 av 249 uppsatser innehållade orden medical techniques.

  1. 1. Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Zeyuan Wu; [2024]
    Nyckelord :Machine Learning; Diagnosis of Sepsis; XGBoost; Logistic Regression; Mathematics and Statistics;

    Sammanfattning : Sepsis, a serious medical condition often leading to patients requiring intensive care, has prompted numerous scientists to employ mathematical techniques to aid in its diagnosis. This thesis uses logistic regression and a machine learning technique, XGBoost, to predict true sepsis (as opposed to sepsis mimics) and culture-positive sepsis (among true sepsis) in critical care using blood test results, physiological measurements and other patient characteristics. LÄS MER

  3. 2. Icke-farmakologiska metoder som kompletterande behandling vid postoperativ smärta : en icke-systematisk litteraturöversikt

    Kandidat-uppsats, Sophiahemmet Högskola

    Författare :Frida Marklund; Yuliya Virchenko; [2024]
    Nyckelord :Non-pharmacological; Pain management; Postoperative; Suffering; Icke-farmakologisk; Lidande; Postoperativ; Smärtlindring;

    Sammanfattning : Bakgrund   Smärta är en av de vanligaste orsakerna till att personer söker sjukvård. Då alla kirurgiska ingrepp medför vävnadsskada som utlöser smärta bör den postoperativa smärtlindringen vara väl anpassad till den enskilda personen och det kirurgiska ingrepp som genomförts. LÄS MER

  4. 3. Exploring adaptation of self-supervised representation learning to histopathology images for liver cancer detection

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Markus Jonsson; [2024]
    Nyckelord :Self-supervised learning; Representation learning; Computer vision;

    Sammanfattning : This thesis explores adapting self-supervised representation learning to visual domains beyond natural scenes, focusing on medical imaging. The research addresses the central question: "How can self-supervised representation learning be specifically adapted for detecting liver cancer in histopathology images?" The study utilizes the PAIP 2019 dataset for liver cancer segmentation and employs a self-supervised approach based on the VICReg method. LÄS MER

  5. 4. Data Augmentation: Enhancing Named Entity Recognition Performance on Swedish Medical Texts

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Lucas Rosvall; Niklas Paasonen; [2023-10-05]
    Nyckelord :Machine Learning; Information Extraction; Named Entity Recognition; BERT; Data Augmentation;

    Sammanfattning : Named Entity Recognition (NER) refers to the task of locating relevant information within text sequences. Within the medical domain, it can benefit applications such as de-identifying patient records or extracting valuable data for other downstream tasks. LÄS MER

  7. 5. Automated Interpretation of Lung Ultrasound for COVID-19 and Tuberculosis diagnosis

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Chloé Soormally; [2023]
    Nyckelord :Tuberculosis; COVID-19; Lung Ultrasound; Computer-aided detection CAD ; Deep learning; Technology and Engineering;

    Sammanfattning : BACKGROUND. Early and accurate detection of infectious respiratory diseases like COVID-19 and tuberculosis (TB) plays a crucial role in effective management and the reduction of preventable mortality. LÄS MER