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V Rasmussen

Showing results (331-340 of 389) with videos related to

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Journal of the American Medical Informatics Association : JAMIA|July 8, 2022
Design and validation of a FHIR-based EHR-driven phenotyping toolboxPascal S Brandt, Jennifer A Pacheco, Prakash Adekkanattu, et al.
BMJ Open|November 14, 2019
GARFIELD-AF model for prediction of stroke and major bleeding in atrial fibrillation: a Danish nationwide validation studyFrederik Dalgaard, Karen Pieper, Freek Verheugt, et al.
Developmental Neurorehabilitation|July 10, 2013
The effect of interventions based on the programs of The Institutes for the Achievement of Human Potential and Family Hope CenterStephen von Tetzchner, Marianne Verdel, Brita Gilhuus Barstad, et al.
EFORT Open Reviews|July 18, 2019
The benefits of collaboration: the Nordic Arthroplasty Register AssociationKeijo T Mäkelä, Ove Furnes, Geir Hallan, et al.
Journal of Neurology, Neurosurgery, and Psychiatry|April 3, 2024
Prognostic factors for disease activity in newly diagnosed teriflunomide-treated patients with multiple sclerosis: a nationwide Danish studyMie Reith Mahler, Melinda Magyari, Luigi Pontieri, et al.
Bioscience|July 16, 2020
Conceptual Links between Landscape Diversity and Diet Diversity: A Roadmap for Transdisciplinary ResearchSarah E Gergel, Bronwen Powell, FrÉdÉric Baudron, et al.
CHEST Critical Care|March 30, 2026
Development of a Pilot Machine Learning Model to Predict Successful Short-Term Treatment Success in Critically Ill Patients With Community-Acquired PneumoniaMengou Zhu, Wan-Ting Liao, Alec Peltekian, et al.
Medrxiv : the Preprint Server for Health Sciences|January 27, 2025
Large language models outperform traditional structured data-based approaches in identifying immunosuppressed patientsVijeeth Guggilla, Mengjia Kang, Melissa J Bak, et al.
Scientific Reports|January 7, 2023
Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site studyPrakash Adekkanattu, Luke V Rasmussen, Jennifer A Pacheco, et al.
Bioscience|October 7, 2021
Mapping and Monitoring Zero-Deforestation CommitmentsKemen G Austin, Robert Heilmayr, Jason J Benedict, et al.
Pageof 39

Showing results (331-340 of 389) with videos related to

Sort By:
Pageof 39
Journal of the American Medical Informatics Association : JAMIA|July 8, 2022
Design and validation of a FHIR-based EHR-driven phenotyping toolboxPascal S Brandt, Jennifer A Pacheco, Prakash Adekkanattu, et al.
BMJ Open|November 14, 2019
GARFIELD-AF model for prediction of stroke and major bleeding in atrial fibrillation: a Danish nationwide validation studyFrederik Dalgaard, Karen Pieper, Freek Verheugt, et al.
Developmental Neurorehabilitation|July 10, 2013
The effect of interventions based on the programs of The Institutes for the Achievement of Human Potential and Family Hope CenterStephen von Tetzchner, Marianne Verdel, Brita Gilhuus Barstad, et al.
EFORT Open Reviews|July 18, 2019
The benefits of collaboration: the Nordic Arthroplasty Register AssociationKeijo T Mäkelä, Ove Furnes, Geir Hallan, et al.
Journal of Neurology, Neurosurgery, and Psychiatry|April 3, 2024
Prognostic factors for disease activity in newly diagnosed teriflunomide-treated patients with multiple sclerosis: a nationwide Danish studyMie Reith Mahler, Melinda Magyari, Luigi Pontieri, et al.
Bioscience|July 16, 2020
Conceptual Links between Landscape Diversity and Diet Diversity: A Roadmap for Transdisciplinary ResearchSarah E Gergel, Bronwen Powell, FrÉdÉric Baudron, et al.
CHEST Critical Care|March 30, 2026
Development of a Pilot Machine Learning Model to Predict Successful Short-Term Treatment Success in Critically Ill Patients With Community-Acquired PneumoniaMengou Zhu, Wan-Ting Liao, Alec Peltekian, et al.
Medrxiv : the Preprint Server for Health Sciences|January 27, 2025
Large language models outperform traditional structured data-based approaches in identifying immunosuppressed patientsVijeeth Guggilla, Mengjia Kang, Melissa J Bak, et al.
Scientific Reports|January 7, 2023
Prediction of left ventricular ejection fraction changes in heart failure patients using machine learning and electronic health records: a multi-site studyPrakash Adekkanattu, Luke V Rasmussen, Jennifer A Pacheco, et al.
Bioscience|October 7, 2021
Mapping and Monitoring Zero-Deforestation CommitmentsKemen G Austin, Robert Heilmayr, Jason J Benedict, et al.
Pageof 39