Essays about: "predictive techniques"
Showing result 1 - 5 of 163 essays containing the words predictive techniques.
-
1. Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques
University essay from Lunds universitet/Matematisk statistikAbstract : 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. READ MORE
-
2. Time Series Forecasting on Database Storage
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Time Series Forecasting has become vital in various industries ranging from weather forecasting to business forecasting. There is a need to research database storage solutions for companies in order to optimize resource allocation, enhance decision making process and enable predictive data storage maintenance. READ MORE
-
3. Real-time Energy Performance Tracking
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : Energy performance tracking is becoming increasingly significant in the building industry as a means of improving energy efficiency. This thesis provides answers to the questions related to improving energy tracking system in general, including its potentials, problems and challenges. READ MORE
-
4. Predictive Modeling and Statistical Inference for CTA returns : A Hidden Markov Approach with Sparse Logistic Regression
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : This thesis focuses on predicting trends in Commodity Trading Advisors (CTAs), also known as trend-following hedge funds. The paper applies a Hidden Markov Model (HMM) for classifying trends. Additionally, by incorporating additional features, a regularized logistic regression model is used to enhance prediction capability. READ MORE
-
5. Automated Interpretation of Lung Ultrasound for COVID-19 and Tuberculosis diagnosis
University essay from Lunds universitet/Matematik LTHAbstract : 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. READ MORE