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Lasse Hansen
Lasse Hansen
PhD student, Department of Clinical Medicine, Aarhus Universitet
Verified email at post.au.dk - Homepage
Title
Cited by
Cited by
Year
A generalizable speech emotion recognition model reveals depression and remission
L Hansen, YP Zhang, D Wolf, K Sechidis, N Ladegaard, R Fusaroli
Acta Psychiatrica Scandinavica 145 (2), 186-199, 2022
372022
TextDescriptives: A Python package for calculating a large variety of metrics from text
L Hansen, LR Olsen, K Enevoldsen
arXiv preprint arXiv:2301.02057, 2023
312023
Analysing political biases in danish newspapers using sentiment analysis
KC Enevoldsen, L Hansen
Journal of Language Works-Sprogvidenskabeligt Studentertidsskrift 2 (2), 87-98, 2017
242017
DaCy: A unified framework for Danish NLP
K Enevoldsen, L Hansen, K Nielbo
arXiv preprint arXiv:2107.05295, 2021
202021
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark
L Hansen, N Seedat, M van der Schaar, A Petrovic
NeurIPS 2023 (37th Conference on Neural Information Processing Systems), 2023
172023
The PSYchiatric clinical outcome prediction (PSYCOP) cohort: leveraging the potential of electronic health records in the treatment of mental disorders
L Hansen, KC Enevoldsen, M Bernstorff, KL Nielbo, AA Danielsen, ...
Acta Neuropsychiatrica 33 (6), 323-330, 2021
132021
Speech-and text-based classification of neuropsychiatric conditions in a multidiagnostic setting
L Hansen, R Rocca, A Simonsen, L Olsen, A Parola, V Bliksted, ...
Nature Mental Health 1 (12), 971-981, 2023
9*2023
Stability of diagnostic coding of psychiatric outpatient visits across the transition from the second to the third version of the Danish National Patient Registry
M Bernstorff, L Hansen, E Perfalk, AA Danielsen, SD Østergaard
Acta Psychiatrica Scandinavica 146 (3), 272-283, 2022
72022
Danish Foundation Models
K Enevoldsen, L Hansen, DS Nielsen, RAF Egebæk, SV Holm, ...
arXiv preprint arXiv:2311.07264, 2023
52023
Development and validation of a machine learning model for prediction of type 2 diabetes in patients with mental illness
M Bernstorff, L Hansen, K Enevoldsen, J Damgaard, F Hæstrup, E Perfalk, ...
Acta Psychiatrica Scandinavica, 2024
32024
The TRIPOD-LLM statement: a targeted guideline for reporting large language models use
J Gallifant, M Afshar, S Ameen, Y Aphinyanaphongs, S Chen, ...
medRxiv, 2024.07. 24.24310930, 2024
32024
Lexical stability of psychiatric clinical notes from electronic health records over a decade
L Hansen, K Enevoldsen, M Bernstorff, E Perfalk, AA Danielsen, ...
Acta Neuropsychiatrica, 1-11, 2023
32023
timeseriesflattener: A Python package for summarizing features from (medical) time series
M Bernstorff, K Enevoldsen, J Damgaard, A Danielsen, L Hansen
Journal of Open Source Software 8 (83), 5197, 2023
22023
Multilingual sentiment normalization for scandinavian languages
RB Baglini, L Hansen, K Enevoldsen, KL Nielbo
Scandinavian Studies in Language 12 (1), 50-64, 2021
22021
Accuracy is not all you need
RD Kristensen-McLachlan, IMS Lassen, K Enevoldsen, L Hansen, ...
ADHO 2022-Tokyo, 2022
12022
Use of generative artificial intelligence (AI) in psychiatry and mental health care: a systematic review
S Kolding, RM Lundin, L Hansen, SD Østergaard
Acta Neuropsychiatrica, 1-14, 2024
2024
Predicting diagnostic progression to schizophrenia or bipolar disorder via machine learning applied to electronic health record data
L Hansen, M Bernstorff, K Enevoldsen, S Kolding, JG Damgaard, ...
medRxiv, 2024.07. 02.24309828, 2024
2024
Predicting involuntary admission following inpatient psychiatric treatment using machine learning trained on electronic health record data
E Perfalk, JG Damgaard, M Bernstorff, L Hansen, AA Danielsen, ...
medRxiv, 2024.04. 11.24305658, 2024
2024
Predicting involuntary admission among patients with psychotic disorder
E Perfalk, L Hansen, K Nielbo, A Danielsen, S Dinesen
European Psychiatry 65 (S1), S227-S227, 2022
2022
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Articles 1–19