Hasil Pencarian - Monika Nair

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  1. 1
    Between fact and fiction: a detailed study of the ‘literary’ in investigative journalism with reference to Dan Morse’s “The Yoga Store Murder”

    Between fact and fiction: a detailed study of the ‘literary’ in investigative journalism with reference to Dan Morse’s “The Yoga Store Murder” oleh T. K. Kavya, B. B. Monika Nair

    Diterbitkan 2024-06-01
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  2. 2
    A comprehensive overview of barriers and strategies for AI implementation in healthcare: Mixed-method design.

    A comprehensive overview of barriers and strategies for AI implementation in healthcare: Mixed-method design. oleh Monika Nair, Petra Svedberg, Ingrid Larsson, Jens M Nygren

    Diterbitkan 2024-01-01
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  3. 3
    Barriers and Enablers for Implementation of an Artificial Intelligence–Based Decision Support Tool to Reduce the Risk of Readmission of Patients With Heart Failure: Stakeholder Interviews

    Barriers and Enablers for Implementation of an Artificial Intelligence–Based Decision Support Tool to Reduce the Risk of Readmission of Patients With Heart Failure: Stakeholder Int... oleh Monika Nair, Jonas Andersson, Jens M Nygren, Lina E Lundgren

    Diterbitkan 2023-08-01
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  4. 4
    Artificial Intelligence Applications in Health Care Practice: Scoping Review

    Artificial Intelligence Applications in Health Care Practice: Scoping Review oleh Malvika Sharma, Carl Savage, Monika Nair, Ingrid Larsson, Petra Svedberg, Jens M Nygren

    Diterbitkan 2022-10-01
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  5. 5
    A Framework to Guide Implementation of AI in Health Care: Protocol for a Cocreation Research Project

    A Framework to Guide Implementation of AI in Health Care: Protocol for a Cocreation Research Project oleh Per Nilsen, Petra Svedberg, Margit Neher, Monika Nair, Ingrid Larsson, Lena Petersson, Jens Nygren

    Diterbitkan 2023-11-01
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  6. 6
    Machine Learning Model for Readmission Prediction of Patients With Heart Failure Based on Electronic Health Records: Protocol for a Quasi-Experimental Study for Impact Assessment

    Machine Learning Model for Readmission Prediction of Patients With Heart Failure Based on Electronic Health Records: Protocol for a Quasi-Experimental Study for Impact Assessment oleh Monika Nair, Lina E Lundgren, Amira Soliman, Petra Dryselius, Ebba Fogelberg, Marcus Petersson, Omar Hamed, Miltiadis Triantafyllou, Jens Nygren

    Diterbitkan 2024-03-01
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