Search Results - Jawad, Baker Nawfal

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  1. 1
    Minimizing the Risk of Diagnostic Errors in Acute Care for Older Adults: An Interdisciplinary Patient Safety Challenge

    Minimizing the Risk of Diagnostic Errors in Acute Care for Older Adults: An Interdisciplinary Patient Safety Challenge by Jawad, Baker Nawfal, Pedersen, Kirstine Zink, Andersen, Ove, Meier, Ninna

    Published in Healthcare (Basel)
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  2. 2
    Utility of suPAR and NGAL for AKI Risk Stratification and Early Optimization of Renal Risk Medications among Older Patients in the Emergency Department

    Utility of suPAR and NGAL for AKI Risk Stratification and Early Optimization of Renal Risk Medications among Older Patients in the Emergency Department by Walls, Anne Byriel, Bengaard, Anne Kathrine, Iversen, Esben, Nguyen, Camilla Ngoc, Kallemose, Thomas, Juul-Larsen, Helle Gybel, Jawad, Baker Nawfal, Hornum, Mads, Andersen, Ove, Eugen-Olsen, Jesper, Houlind, Morten Baltzer

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  3. 3
    Development and validation of prognostic machine learning models for short- and long-term mortality among acutely admitted patients based on blood tests

    Development and validation of prognostic machine learning models for short- and long-term mortality among acutely admitted patients based on blood tests by Jawad, Baker Nawfal, Shaker, Shakir Maytham, Altintas, Izzet, Eugen-Olsen, Jesper, Nehlin, Jan O., Andersen, Ove, Kallemose, Thomas

    Published in Scientific reports
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  4. 4
    Variations in physical activity and sedentary behavior during and after hospitalization in acutely admitted older medical patients: a longitudinal study

    Variations in physical activity and sedentary behavior during and after hospitalization in acutely admitted older medical patients: a longitudinal study by Jawad, Baker Nawfal, Petersen, Janne, Andersen, Ove, Pedersen, Mette Merete

    Published in BMC geriatrics
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  5. 5
    Evaluation of Multi-Frequency Bioelectrical Impedance Analysis against Dual-Energy X-ray Absorptiometry for Estimation of Low Muscle Mass in Older Hospitalized Patients

    Evaluation of Multi-Frequency Bioelectrical Impedance Analysis against Dual-Energy X-ray Absorptiometry for Estimation of Low Muscle Mass in Older Hospitalized Patients by Nielsen, Rikke Lundsgaard, Andersen, Aino Leegaard, Kallemose, Thomas, Damgaard, Morten, Bornæs, Olivia, Juul-Larsen, Helle Gybel, Strejby Christensen, Louise Westberg, Jawad, Baker Nawfal, Andersen, Ove, Rasmussen, Henrik Højgaard, Munk, Tina, Lund, Trine Meldgaard, Houlind, Morten Baltzer

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  6. 6
    Prospective and External Validation of Machine Learning Models for Short- and Long-Term Mortality in Acutely Admitted Patients Using Blood Tests

    Prospective and External Validation of Machine Learning Models for Short- and Long-Term Mortality in Acutely Admitted Patients Using Blood Tests by Jawad, Baker Nawfal, Altintas, Izzet, Eugen-Olsen, Jesper, Niazi, Siar, Mansouri, Abdullah, Rasmussen, Line Jee Hartmann, Schultz, Martin, Iversen, Kasper, Normann Holm, Nikolaj, Kallemose, Thomas, Andersen, Ove, Nehlin, Jan O

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  7. 7
    Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Letter]

    Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Letter] by Houlind, Morten Baltzer, Iversen, Esben, Jawad, Baker Nawfal, Kallemose, Thomas, Hornum, Mads

    Published in Clinical epidemiology
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  8. 8
    The effect of circadian-adjusted LED-based lighting on sleep, daytime sleepiness and biomarkers of inflammation in a randomized controlled cross-over trial by pragmatic design in elderly care home dwellers

    The effect of circadian-adjusted LED-based lighting on sleep, daytime sleepiness and biomarkers of inflammation in a randomized controlled cross-over trial by pragmatic design in e... by Linander, Christine Borgen, Kallemose, Thomas, Joergensen, Lillian Moerch, Andersen, Ove, Nehlin, Jan O., Jawad, Baker Nawfal

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  9. 9
    Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Letter]

    Machine Learning to Identify Patients at Risk of Inappropriate Dosing for Renal Risk Medications: A Critical Comment on Kaas-Hansen et al [Letter] by Houlind, Morten Baltzer, Iversen, Esben, Jawad, Baker Nawfal, Kallemose, Thomas, Hornum, Mads

    Published in Clinical epidemiology
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