Sökning: "Imputation"
Visar resultat 1 - 5 av 68 uppsatser innehållade ordet Imputation.
1. Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : 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
2. What difference does a week make? : An empirical analysis evaluating the effect of induction of labor in gestational week 41 among births in Sweden
Master-uppsats, Uppsala universitet/Nationalekonomiska institutionenSammanfattning : This thesis examines the relationship between gestational age and stillbirths, focusing on the effect of maternal age. Prolonged pregnancies have been associated with an increased risk of stillbirth, prompting the exploration of labor induction as a preventive measure. LÄS MER
3. Constructing Gender Indices Using Exploratory Factor Analysis
Kandidat-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : .... LÄS MER
4. MODELING INPUT VARIABLE AGE IN SEPSIS PREDICTION USING TREE-BASED MODELS
Master-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : Last observation carried forward (LOCF) is a common imputation method, regularly used for clinical data. It is based on the principle that the most recent observation that is known is carried forward to replace missing values. LÄS MER
5. Recommender Systems Using Limited Dataset Sizes
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In order to create personalized recommendations for users on services such as e-commerce websites and streaming platforms, recommender systems often utilize various machine learning techniques. A common technique used in recommender systems is collaborative filtering which creates rating predictions based on similar users’ interests. LÄS MER