Essays about: "Mortality Prediction"
Showing result 1 - 5 of 22 essays containing the words Mortality Prediction.
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1. Time-varying biomarkers modelling for potential prediction of long-term complications and mortality in patients with type 2 diabetes
University essay from Uppsala universitet/Institutionen för farmaciAbstract : .... READ MORE
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2. Evaluating a new hydraulic implementation in LPJ-GUESS for three sites in north Europe
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : 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. READ MORE
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3. Explaining Mortality Prediction With Logistic Regression
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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4. Mortality Prediction in Intensive Care Units by Utilizing the MIMIC-IV Clinical Database
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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5. Predicting preterm birth with machine learning methods
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : 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. READ MORE