Essays about: "intensive-care patients"
Showing result 1 - 5 of 62 essays containing the words intensive-care patients.
-
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. ASSESSING PREDICTION CONDITIONS ANDSEQUENTIAL CLASSIFICATION IN ICU SEPSISPREDICTION
University essay from Uppsala universitet/Statistiska institutionenAbstract : Patients admitted to intensive care units (ICUs) often have a higher risk of sepsis due to weakened immune systems. Early sepsis diagnosis is crucial for timely treatment, emphasizing the need to improve the predictive capabilities of sepsis prediction models. READ MORE
-
3. Specialist nurses’ Compassion Fatigue and related factors in the aftermath of COVID-19 : A correlation survey
University essay from Umeå universitet/Institutionen för omvårdnadAbstract : Background: Intensive Care and Anaesthetists Nurses are, through their profession and the COVID-19 pandemic, predisposed to suffering from Compassion Fatigue (CF). CF develops as stressors exceed the ability to cope with the demands of caring and has been associated with organisational factors. READ MORE
-
4. The effect of a daily sedation interruption on the intensive care unit
University essay from Karlstads universitet/Institutionen för hälsovetenskaper (from 2013)Abstract : Background: Daily sedation interruptions (DSI) are performed within intensive care units worldwide and are thought to reduce delirium and shorten the duration of mechanical ventilation. However, there is conflicting evidence to suggest otherwise. READ MORE
-
5. Predicting Incoming Hospital Patients Using Weather Data and Neural Networks
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Personnel shortages in hospitals are a problem, and one way to alleviate that is to make better use of the existing personnel. This thesis examines whether Intensive Care patient arrivals can accurately be forecast using machine learning models, as well as examining the usefulness of calendar and climate data for the task. READ MORE