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Katarina Kjell

Showing results (1-10 of 9) with videos related to

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Frontiers in Psychology|June 21, 2021
Freely Generated Word Responses Analyzed With Artificial Intelligence Predict Self-Reported Symptoms of Depression, Anxiety, and WorryKatarina Kjell, Per Johnsson, Sverker Sikström
Frontiers in Behavioral Neuroscience|December 19, 2018
A Longer Interstimulus Interval Yields Better Learning in Adults and Young AdolescentsKatarina Kjell, Karolina Löwgren, Anders Rasmussen
Psychiatry Research|January 30, 2024
Beyond rating scales: With targeted evaluation, large language models are poised for psychological assessmentOscar N E Kjell, Katarina Kjell, H Andrew Schwartz
Assessment|September 20, 2025
Natural Language Response Formats for Assessing Depression and Worry With Large Language Models: A Sequential Evaluation With Model Pre-RegistrationZhuojun Gu, Katarina Kjell, H Andrew Schwartz, et al.
Psychological Methods|July 3, 2018
Semantic measures: Using natural language processing to measure, differentiate, and describe psychological constructsOscar N E Kjell, Katarina Kjell, Danilo Garcia, et al.
Scientific Reports|March 11, 2022
Natural language analyzed with AI-based transformers predict traditional subjective well-being measures approaching the theoretical upper limits in accuracyOscar N E Kjell, Sverker Sikström, Katarina Kjell, et al.
BMC Psychiatry|December 9, 2023
The ability to maintain rhythm is predictive of ADHD diagnosis and profilePeik Gustafsson, Katarina Kjell, Maurizio Cundari, et al.
Comprehensive Psychiatry|June 6, 2025
The LEADING guideline: Reporting standards for expert panel, best-estimate diagnosis, and longitudinal expert all data (LEAD) methodsVeerle C Eijsbroek, Katarina Kjell, H Andrew Schwartz, et al.
Medrxiv : the Preprint Server for Health Sciences|May 3, 2024
The LEADING Guideline: Reporting Standards for Expert Panel, Best-Estimate Diagnosis, and Longitudinal Expert All Data (LEAD) StudiesVeerle C Eijsbroek, Katarina Kjell, H Andrew Schwartz, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Frontiers in Psychology|June 21, 2021
Freely Generated Word Responses Analyzed With Artificial Intelligence Predict Self-Reported Symptoms of Depression, Anxiety, and WorryKatarina Kjell, Per Johnsson, Sverker Sikström
Frontiers in Behavioral Neuroscience|December 19, 2018
A Longer Interstimulus Interval Yields Better Learning in Adults and Young AdolescentsKatarina Kjell, Karolina Löwgren, Anders Rasmussen
Psychiatry Research|January 30, 2024
Beyond rating scales: With targeted evaluation, large language models are poised for psychological assessmentOscar N E Kjell, Katarina Kjell, H Andrew Schwartz
Assessment|September 20, 2025
Natural Language Response Formats for Assessing Depression and Worry With Large Language Models: A Sequential Evaluation With Model Pre-RegistrationZhuojun Gu, Katarina Kjell, H Andrew Schwartz, et al.
Psychological Methods|July 3, 2018
Semantic measures: Using natural language processing to measure, differentiate, and describe psychological constructsOscar N E Kjell, Katarina Kjell, Danilo Garcia, et al.
Scientific Reports|March 11, 2022
Natural language analyzed with AI-based transformers predict traditional subjective well-being measures approaching the theoretical upper limits in accuracyOscar N E Kjell, Sverker Sikström, Katarina Kjell, et al.
BMC Psychiatry|December 9, 2023
The ability to maintain rhythm is predictive of ADHD diagnosis and profilePeik Gustafsson, Katarina Kjell, Maurizio Cundari, et al.
Comprehensive Psychiatry|June 6, 2025
The LEADING guideline: Reporting standards for expert panel, best-estimate diagnosis, and longitudinal expert all data (LEAD) methodsVeerle C Eijsbroek, Katarina Kjell, H Andrew Schwartz, et al.
Medrxiv : the Preprint Server for Health Sciences|May 3, 2024
The LEADING Guideline: Reporting Standards for Expert Panel, Best-Estimate Diagnosis, and Longitudinal Expert All Data (LEAD) StudiesVeerle C Eijsbroek, Katarina Kjell, H Andrew Schwartz, et al.
Pageof 1