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Acta Neuropsychiatrica
|
October 17, 2024
Precision psychiatry needs causal inference
Martin Bernstorff, Oskar Hougaard Jefsen
Journal of Clinical Monitoring and Computing
|
February 4, 2024
Natural language processing for electronic health records in anaesthesiology: an introduction to clinicians with recommendations and pitfalls
Martin Bernstorff, Simon Tilma Vistisen, Kenneth C Enevoldsen
Acta Psychiatrica Scandinavica
|
February 11, 2025
Receiving Information on Machine Learning-Based Clinical Decision Support Systems in Psychiatric Services Increases Staff Trust in These Systems: A Randomized Survey Experiment
Erik Perfalk, Martin Bernstorff, Andreas Aalkjær Danielsen, et al.
European Psychiatry : the Journal of the Association of European Psychiatrists
|
October 25, 2024
Patient trust in the use of machine learning-based clinical decision support systems in psychiatric services: A randomized survey experiment
Erik Perfalk, Martin Bernstorff, Andreas Aalkjær Danielsen, et al.
Acta Psychiatrica Scandinavica
|
June 22, 2022
Stability of diagnostic coding of psychiatric outpatient visits across the transition from the second to the third version of the Danish National Patient Registry
Martin Bernstorff, Lasse Hansen, Erik Perfalk, et al.
Scientific Reports
|
May 6, 2022
Multiple health complaints in preadolescence and hospital contacts during adolescence: a prospective cohort study
Martin Bernstorff, Charlotte Ulrikka Rask, Dorte Rytter, et al.
Scandinavian Journal of Public Health
|
August 27, 2021
Pre-adolescents with multiple health complaints redeem more prescriptions: A follow-up study in the Danish National Birth Cohort
Martin Bernstorff, Charlotte Ulrikka Rask, Dorte Rytter, et al.
European Psychiatry : the Journal of the Association of European Psychiatrists
|
January 8, 2025
Predicting cardiovascular disease in patients with mental illness using machine learning
Martin Bernstorff, Lasse Hansen, Kevin Kris Warnakula Olesen, et al.
Psychological Medicine
|
June 16, 2025
Predicting involuntary admission following inpatient psychiatric treatment using machine learning trained on electronic health record data - CORRIGENDUM
Erik Perfalk, Jakob Grøhn Damgaard, Martin Bernstorff, et al.
Psychological Medicine
|
November 18, 2024
Predicting involuntary admission following inpatient psychiatric treatment using machine learning trained on electronic health record data
Erik Perfalk, Jakob Grøhn Damgaard, Martin Bernstorff, et al.
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of 2
Search research articles
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Showing results (1-10 of 16) with videos related to
Sort By:
Page
of 2
Acta Neuropsychiatrica
|
October 17, 2024
Precision psychiatry needs causal inference
Martin Bernstorff, Oskar Hougaard Jefsen
Journal of Clinical Monitoring and Computing
|
February 4, 2024
Natural language processing for electronic health records in anaesthesiology: an introduction to clinicians with recommendations and pitfalls
Martin Bernstorff, Simon Tilma Vistisen, Kenneth C Enevoldsen
Acta Psychiatrica Scandinavica
|
February 11, 2025
Receiving Information on Machine Learning-Based Clinical Decision Support Systems in Psychiatric Services Increases Staff Trust in These Systems: A Randomized Survey Experiment
Erik Perfalk, Martin Bernstorff, Andreas Aalkjær Danielsen, et al.
European Psychiatry : the Journal of the Association of European Psychiatrists
|
October 25, 2024
Patient trust in the use of machine learning-based clinical decision support systems in psychiatric services: A randomized survey experiment
Erik Perfalk, Martin Bernstorff, Andreas Aalkjær Danielsen, et al.
Acta Psychiatrica Scandinavica
|
June 22, 2022
Stability of diagnostic coding of psychiatric outpatient visits across the transition from the second to the third version of the Danish National Patient Registry
Martin Bernstorff, Lasse Hansen, Erik Perfalk, et al.
Scientific Reports
|
May 6, 2022
Multiple health complaints in preadolescence and hospital contacts during adolescence: a prospective cohort study
Martin Bernstorff, Charlotte Ulrikka Rask, Dorte Rytter, et al.
Scandinavian Journal of Public Health
|
August 27, 2021
Pre-adolescents with multiple health complaints redeem more prescriptions: A follow-up study in the Danish National Birth Cohort
Martin Bernstorff, Charlotte Ulrikka Rask, Dorte Rytter, et al.
European Psychiatry : the Journal of the Association of European Psychiatrists
|
January 8, 2025
Predicting cardiovascular disease in patients with mental illness using machine learning
Martin Bernstorff, Lasse Hansen, Kevin Kris Warnakula Olesen, et al.
Psychological Medicine
|
June 16, 2025
Predicting involuntary admission following inpatient psychiatric treatment using machine learning trained on electronic health record data - CORRIGENDUM
Erik Perfalk, Jakob Grøhn Damgaard, Martin Bernstorff, et al.
Psychological Medicine
|
November 18, 2024
Predicting involuntary admission following inpatient psychiatric treatment using machine learning trained on electronic health record data
Erik Perfalk, Jakob Grøhn Damgaard, Martin Bernstorff, et al.
Page
of 2