Sökning: "Henrik Siren"

Hittade 2 uppsatser innehållade orden Henrik Siren.

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

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Sammanfattning : 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. LÄS MER

  3. 2. An implementation analysis of a machine learning algorithm on eye-tracking data in order to detect early signs of dementia

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Jennifer Lindberg; Henrik Siren; [2020]
    Nyckelord :Dementia; Eye-tracking; Machine Learning; naïve Bayes.;

    Sammanfattning : This study aims to investigate whether or not it is possible to use a machine learning algorithm on eye-tracking data in order to detect early signs of Alzheimer’s disease, which is a type of dementia. Early signs of Alzheimer’s are characterized by mild cognitive impairment. LÄS MER