Zobrazeno 1 - 8 of 8 pro vyhledávání: '"Kenneth C. Enevoldsen"'
1
Monitoring of COVID-19 pandemic-related psychopathology using machine learning
Autor: Kenneth C. Enevoldsen, Andreas A. Danielsen, Christopher Rohde, Oskar H. Jefsen, Kristoffer L. Nielbo, Søren D. Østergaard
Publikováno v: Enevoldsen, K, Danielsen, A A, Rohde, C, Jefsen, O H, Nielbo, K L & Østergaard, S D 2022, ' Monitoring of COVID-19 pandemic-related psychopathology using machine learning ', Acta Neuropsychiatrica, vol. 34, no. 3, pp. 148-152 . https://doi.org/10.1017/neu.2022.2
Aarhus University
Enevoldsen, K C, Danielsen, A A, Rohde, C, Jefsen, O H, Nielbo, K L & Østergaard, S D 2022, ' Monitoring of COVID-19 Pandemic-related Psychopathology using Machine Learning ', Acta Neuropsychiatrica, pp. 1-14 . https://doi.org/10.1017/neu.2022.2
The COVID-19 pandemic is believed to have a major negative impact on global mental health due to the viral disease itself as well as the associated lockdowns, social distancing, isolation, fear, and increased uncertainty. Individuals with preexisting
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7497a9712212a09584f515ee7a222a7d
https://pure.au.dk/portal/da/publications/monitoring-of-covid19-pandemicrelated-psychopathology-using-machine-learning(833d8b52-c4c8-4e8c-9e1d-b2214daa9e5a).html
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2
The PSYchiatric Clinical Outcome Prediction (PSYCOP) cohort:Leveraging the potential of electronic health records in the treatment of mental disorders
Autor: Martin Bernstorff, Søren Dinesen Østergaard, Kenneth C. Enevoldsen, Kristoffer L. Nielbo, Andreas A. Danielsen, Lasse Hansen
Publikováno v: Hansen, L, Enevoldsen, K C, Bernstorff, M, Nielbo, K L, Danielsen, A A & Østergaard, S D 2021, ' The PSYchiatric Clinical Outcome Prediction (PSYCOP) cohort : Leveraging the potential of electronic health records in the treatment of mental disorders ', Acta Neuropsychiatrica, vol. 33, no. 6, pp. 323-330 . https://doi.org/10.1017/neu.2021.22
Hansen, L, Enevoldsen, K C, Bernstorff, M, Nielbo, K L, Danielsen, A A & Østergaard, S D 2021, ' The PSYchiatric Clinical Outcome Prediction (PSYCOP) cohort : Leveraging the potential of electronic health records in the treatment of mental disorders ', Acta Neuropsychiatrica . https://doi.org/10.1017/neu.2021.22
Background:The quality of life and lifespan are greatly reduced among individuals with mental illness. To improve prognosis, the nascent field of precision psychiatry aims to provide personalised predictions for the course of illness and response to
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a705eb80a2b1962acc399a9aa54118e1
https://pure.au.dk/portal/da/publications/the-psychiatric-clinical-outcome-prediction-psycop-cohort(be755f0a-1a5a-47ec-bb14-b397cd9eb0bc).html
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3
Monitoring of COVID-19 Pandemic-related Psychopathology using Machine Learning
Autor: Oskar Hougaard Jefsen, Christopher Rohde, Kristoffer Laigaard Nielbo, Andreas A. Danielsen, Søren Dinesen Østergaard, Kenneth C. Enevoldsen
The COVID-19 pandemic has been shown to have major impact on global mental health. We show that the developments in COVID-19 pandemic-related psychopathology can be meaningfully monitored using machine learning methods providing invaluable insights t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::86096e88d7ea47ce0d0c21b8bf42491e
https://doi.org/10.1101/2021.07.13.21259962
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4
DaCy: A Unified Framework for Danish NLP
Autor: Kenneth C. Enevoldsen, Lasse Hansen, Kristoffer Laigaard Nielbo
Publikováno v: Aarhus University
Danish natural language processing (NLP) has in recent years obtained considerable improvements with the addition of multiple new datasets and models. However, at present, there is no coherent framework for applying state-of-the-art models for Danish
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e287164ef5bacece09e1016833ac4196
http://arxiv.org/abs/2107.05295
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5
Introducing tomsup: Theory of Mind Simulations Using Python
Autor: Peter Thestrup Waade, Kenneth C. Enevoldsen, Arnault-Quentin Vermillet, Arndis Simonsen, Riccardo Fusaroli
Publikováno v: Waade, P T, Enevoldsen, K C, Vermillet, A-Q, Simonsen, A & Fusaroli, R 2022, ' Introducing tomsup: Theory of Mind Simulations Using Python ', Behavior Research Methods . https://doi.org/10.3758/s13428-022-01827-2
Theory of mind (ToM) is considered crucial for understanding social-cognitive abilities and impairments. However, verbal theories of the mechanisms underlying ToM are often criticized as under-specified and mutually incompatible. This leads to measur
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::073ba706b63d226ffe994ef6f0e0e702
https://doi.org/10.31234/osf.io/zcgkv
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6
When no news is bad news: Detection of negative events from news media content
Autor: Rebekah Brita Baglini, Kristoffer Laigaard Nielbo, Frida Hæstrup, Kenneth C. Enevoldsen, Peter Bjerregaard Vahlstrup, Andreas Roepstorff
Publikováno v: Aarhus University
Baglini, R B, Nielbo, K L, Hæstrup, F, Enevoldsen, K, Vahlstrup, P B & Roepstorff, A 2021, ' When no news is bad news: Detection of negative events from news media content ', Digital Humanities Benelux, Leiden, Belgium, 02/06/2021-04/06/2021 .
During the first wave of Covid-19 information decoupling could be observed in the flow of news media content. The corollary of the content alignment within and between news sources experienced by readers (i.e., all news transformed into Corona-news),
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::934f873f4708a9afeb31dbe9603fadd4
https://pure.au.dk/portal/en/publications/when-no-news-is-bad-news-detection-of-negative-events-from-news-media-content(97e9b9a7-e712-4e6e-8447-311d5ece58d2).html
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7
Analysing political biases in danish newspapers using sentiment analysis
Autor: Kenneth C. Enevoldsen, Lasse Hansen
Publikováno v: Aarhus University
Enevoldsen, K & Hansen, L 2017, ' Analysing political biases in danish newspapers using sentiment analysis ', Journal of Language Works-Sprogvidenskabeligt Studentertidsskrift, vol. 2, no. 2 . < https://tidsskrift.dk/lwo/article/view/96014 >
Traditionally, the evaluation of political biases in Danish newspapers has been carried out through highly subjective methods. The conventional approach has been surveys asking samples of the population to place various newspapers on the political sp
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::128b0949adbd1e0e46e736ecce210c08
https://pure.au.dk/portal/en/publications/analysing-political-biases-in-danish-newspapers-using-sentiment-analysis(1fdbfc21-880a-4f6c-a677-8dc0b8e4d89f).html
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