Sökning: "Mortality Prediction"

Visar resultat 1 - 5 av 22 uppsatser innehållade orden Mortality 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

  2. 2. Evaluating a new hydraulic implementation in LPJ-GUESS for three sites in north Europe

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Carl Holmquist; [2023]
    Nyckelord :Physical Geography and Ecosystem analysis; LPJ-GUESS; drought; sensitivity analysis; evapotranspiration; gross primary production; hydraulic parameters; boreal forest.; Earth and Environmental Sciences;

    Sammanfattning : Drought is projected to increase in frequency and intensity and impacts trees with increased water stress and increased mortality rate. Water stresses can cause hydraulic failure-related mortality or carbon starvation due to tree species having different strategies to deal with water stresses. LÄS MER

  3. 3. Explaining Mortality Prediction With Logistic Regression

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

    Författare :Alva Johansson Staaf; Victor Engdahl; [2022]
    Nyckelord :Machine Learning; Logistic Regression; Mortality Prediction; Explainability; MIMIC-III;

    Sammanfattning : Explainability is a key component in building trust for computer calculated predictions when they are applied to areas with influence over individual people. This bachelor thesis project report focuses on the explanation regarding the decision making process of the machine learning method Logistic Regression when predicting mortality. LÄS MER

  4. 4. Mortality Prediction in Intensive Care Units by Utilizing the MIMIC-IV Clinical Database

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

    Författare :Raymond Wang; [2022]
    Nyckelord :Clinical Data Science; Mortality Prediction; MIMIC-IV; Machine Learning; NLP; ICU;

    Sammanfattning : Machine learning has the potential of significantly improving daily operations in health care institutions but many persistent barriers are to be faced in order to ensure its wider acceptance. Among such obstacles are the accuracy and reliability. LÄS MER

  5. 5. Predicting preterm birth with machine learning methods

    Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen

    Författare :Zélie Isabelle E Dresse; [2022]
    Nyckelord :preterm birth; prediction; machine learning; race; Business and Economics;

    Sammanfattning : Preterm birth is a leading cause for birth complications and neonatal mortality in the world. It remains difficult to predict whether a preterm birth will occur, which hinders the possible use of prevention treatments. This thesis investigates the use of machine learning models in the prediction of spontaneous preterm birth. LÄS MER