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Fletta eftir efnisorði "Machine learning"

Fletta eftir efnisorði "Machine learning"

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    Anomaly detection in sleep : detecting mouth breathing in children 
    Biedebach, Luka; Óskarsdóttir, María; Arnardóttir, Erna Sif; Sigurdardóttir, Sigridur Erla; Clausen, Michael Valur; Sigurðardóttir, Sigurveig Þ; Serwatko, Marta; Islind, Anna Sigríður (2023-11-13)
    Identifying mouth breathing during sleep in a reliable, non-invasive way is challenging and currently not included in sleep studies. However, it has a high clinical relevance in pediatrics, as it can negatively impact the physical and mental health of ...
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    Comparative study of machine learning methods for modeling associations between risk factors and future dementia cases 
    Valsdóttir, Vaka; Jónsdóttir, María Kristín; Magnúsdóttir, Brynja Björk; Chang, Milan; Hu, Yi Han; Gudnason, Vilmundur; Launer, Lenore J.; Stefánsson, Hlynur (2024-02)
    A substantial portion of dementia risk can be attributed to modifiable risk factors that can be affected by lifestyle changes. Identifying the contributors to dementia risk could prove valuable. Recently, machine learning methods have been increasingly ...
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    Improving prosthetic selection and predicting BMD from biometric measurements in patients receiving total hip arthroplasty 
    Ricciardi, Carlo; Jónsson, Halldór; Jacob, Deborah; Improta, Giovanni; Recenti, Marco; Gíslason, Magnús Kjartan; Cesarelli, Giuseppe; Esposito, Luca; Minutolo, Vincenzo; Bifulco, Paolo; Gargiulo, Paolo (2020-10-14)
    There are two surgical approaches to performing total hip arthroplasty (THA): a cemented or uncemented type of prosthesis. The choice is usually based on the experience of the orthopaedic surgeon and on parameters such as the age and gender of the ...
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    Review and perspective on sleep-disordered breathing research and translation to clinics 
    On behalf of SLEEP REVOLUTION (2024-02)
    Sleep-disordered breathing, ranging from habitual snoring to severe obstructive sleep apnea, is a prevalent public health issue. Despite rising interest in sleep and awareness of sleep disorders, sleep research and diagnostic practices still rely on ...