Showing 121 - 140 results of 6,146 for search '"healthcare"', query time: 0.07s Refine Results
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    Uncertainty-aware deep learning in healthcare: A scoping review. by Tyler J Loftus, Benjamin Shickel, Matthew M Ruppert, Jeremy A Balch, Tezcan Ozrazgat-Baslanti, Patrick J Tighe, Philip A Efron, William R Hogan, Parisa Rashidi, Gilbert R Upchurch, Azra Bihorac

    Published 2022-01-01
    “…Our purpose is to critically evaluate methods for quantifying uncertainty in deep learning for healthcare applications and propose a conceptual framework for specifying certainty of deep learning predictions. …”
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    Institutional Ethnography: An Approach to Explicate the Ruling Relations in Healthcare Institutions by Farzaneh Mokhtary, Abouali Vedadhir, Akram Sanagoo, Leila Jouybari

    Published 2024-06-01
    “…In this study, we aim to introduce the IE for explicating the relations in the healthcare institutions. This study will investigate the key terms, concepts, and insights of IE through examples by reviewing the related studies. …”
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    Knowledge of Healthcare Professionals Regarding Hepatitis B in Rania Hospitals by Zhino Raouf Ali, Mohammed Rasol Ahmed, Khalid Muhamad Hamad, Zhiar Hussen Wsu

    Published 2020-12-01
    “…Hepatitis B virus (HBV) infection is a major public health problem worldwide especially for healthcare professionals (HCPs). It is a potentially life-threatening condition because leads to liver infection, and liver cancer. …”
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  8. 128

    Clostridium difficile – an Important Opportunistic Pathogen in Healthcare-Associated Infections by Soohyoun Ahn, Amarat H. Simonne

    Published 2014-09-01
    “…This factsheet will provide an overview of Clostridium difficile infection (CDI) with a focus on healthcare-associated infections. This 5-page fact sheet was written by Soohyoun Ahn and Amarat H. …”
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  9. 129

    DAG-Based Swarm Learning Approach in Healthcare: A Survey by David Gana, Faisal Jamil

    Published 2025-01-01
    “…Incorporating technologies like blockchain, federated learning, swarm learning, and Directed Acyclic Graphs is transforming healthcare. This article thoroughly examines recent progress and uses at the intersection of these technologies within the healthcare field. …”
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    Environmental Life Cycle Assessment of Healthcare Waste Valorisation Alternatives by Zlaugotne Beate, Zandberga Anda, Gusca Julija, Kalnins Silvija Nora

    Published 2025-01-01
    “…Infectious healthcare waste (iHCW), after microbial inactivation treatment, primarily ends up in landfills. …”
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    A STUDY ON THE HEALTHCARE SERVICE QUALITY EXPECTATION AND PERCEPTION OF PATIENTS by Gizem Zevde Aydın, Elif Dikmetaş Yardan

    Published 2019-08-01
    “…It is proposed that the institution should consider customerexpectations for the quality perception in healthcare services and make the necessarychanges as much as possible in the areas where the expectations are notprovided.…”
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    Healthcare Resource Utilization Among Patients With Agitation in Alzheimer Dementia by Christie Teigland, Zulkarnain Pulungan, David Bruhn, Steve Hwang

    Published 2024-10-01
    “…**Background:** Agitation in Alzheimer dementia is common, but the associated healthcare burden remains unclear. **Objective:** This retrospective analysis evaluated baseline characteristics, healthcare resource utilization, and costs among patients with agitation in Alzheimer dementia and those without agitation in Alzheimer dementia. …”
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    Clostridium difficile: An Important Opportunistic Pathogen in Healthcare-Associated Infections by Soohyoun Ahn, Amarat Simonne

    Published 2018-01-01
    “… Healthcare-associated infections are infections that patients can get while receiving medical treatment in a healthcare facility. …”
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    Clinical Burden and Healthcare Resource Use of Asthma in Children in the UK by Gouia I, Joulain F, Zhang Y, Morgan CL, Khan AH

    Published 2025-02-01
    “…Severe exacerbation and re-exacerbation rates per patient-year (PPY), all-cause healthcare resource utilization (HCRU), and HCRU-related costs were assessed in asthma patients versus matched non-asthma controls, stratified by severity.Results: Among 5950 patients, severe exacerbation rate was 0.06, 0.17 and 0.31 PPY for mild, moderate, and severe asthma, respectively. …”
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