Essays about: "Neonatal sepsis"

Showing result 1 - 5 of 11 essays containing the words Neonatal sepsis.

  1. 1. Neonatal Sepsis Detection Using Decision Tree Ensemble Methods: Random Forest and XGBoost

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Marwan Al-Bardaji; Nahir Danho; [2022]
    Keywords : Machine Learning; Sepsis; Neonatal Sepsis; Random Forest; XGBoost; Imbalanced Data; Binary Classification; Cross-Validation; Hyperparameter Tuning;

    Abstract : Neonatal sepsis is a potentially fatal medical conditiondue to an infection and is attributed to about 200 000annual deaths globally. With healthcare systems that are facingconstant challenges, there exists a potential for introducingmachine learning models as a diagnostic tool that can beautomatized within existing workflows and would not entail morework for healthcare personnel. READ MORE

  3. 2. Neonatal Sepsis Detection With Random Forest Classification for Heavily Imbalanced Data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ayman Osman Abubaker; [2022]
    Keywords : Random Forest; Neonatal Sepsis; Imbalanced Classification; Cost-sensitive; SMOTE; ADASYN; CNN; Tomek- Links;

    Abstract : Neonatal sepsis is associated with most cases ofmortality in the neonatal intensive care unit. Major challengesin detecting sepsis using suitable biomarkers has lead people tolook for alternative approaches in the form of Machine Learningtechniques. READ MORE

  4. 3. Sequential Deep Learning Models for Neonatal Sepsis Detection : A suitability assessment of deep learning models for event detection in physiological data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Henrik Alex Siren; [2022]
    Keywords : Neonatal sepsis; Deep learning; Recurrent models; Convolutional models; Physiological data; Neonatal sepsis; Djupinlärning; RNN-modeller; CNN-modeller; Fysiologisk data;

    Abstract : Sepsis is a life-threatening condition that neonatal patients are especially susceptible to. Fortunately, improved bedside monitoring has enabled the collection and use of continuous vital signs data for the purpose of detecting conditions such as sepsis. READ MORE

  5. 4. Factors associated with an increased risk of death in sepsis at a neonatal intensive care unit in Kathmandu, Nepal

    University essay from

    Author : David Sjöstedt; [2018]
    Keywords : ;

    Abstract : .... READ MORE

  6. 5. Machine Learning for Neonatal Early Warning Signs

    University essay from KTH/Teknisk informationsvetenskap

    Author : Antoine Honoré; [2017]
    Keywords : ABD-events; Machine learning; Oversampling; ABD-händelser; maskininlärning; Oversampling;

    Abstract : Cardio-respiratory dysfunction, sepsis and necrotizing enterocolitis are responsible for a large numberof deaths in the neonatal population. Despite ecient monitoring and screening in Intensive CareUnits, diagnosis prior to clinical symptoms remains a dicult task. READ MORE