Sökning: "Mortality Prediction"
Visar resultat 1 - 5 av 22 uppsatser innehållade orden Mortality Prediction.
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 farmaciSammanfattning : .... LÄS MER
2. Evaluating a new hydraulic implementation in LPJ-GUESS for three sites in north Europe
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : 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. Explaining Mortality Prediction With Logistic Regression
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)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. Mortality Prediction in Intensive Care Units by Utilizing the MIMIC-IV Clinical Database
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)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. Predicting preterm birth with machine learning methods
Magister-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : 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