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Salim Salmi

Showing results (1-10 of 6) with videos related to

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Journal of Medical Internet Research|January 7, 2021
Content-Based Recommender Support System for Counselors in a Suicide Prevention Chat Helpline: Design and Evaluation StudySalim Salmi, Saskia Mérelle, Renske Gilissen, et al.
JMIR Mental Health|September 26, 2024
The Most Effective Interventions for Classification Model Development to Predict Chat Outcomes Based on the Conversation Content in Online Suicide Prevention Chats: Machine Learning ApproachSalim Salmi, Saskia Mérelle, Renske Gilissen, et al.
BMC Public Health|March 18, 2022
Detecting changes in help seeker conversations on a suicide prevention helpline during the COVID- 19 pandemic: in-depth analysis using encoder representations from transformersSalim Salmi, Saskia Mérelle, Renske Gilissen, et al.
Journal of Medical Internet Research|August 1, 2024
Automated Behavioral Coding to Enhance the Effectiveness of Motivational Interviewing in a Chat-Based Suicide Prevention Helpline: Secondary Analysis of a Clinical TrialMathijs Pellemans, Salim Salmi, Saskia Mérelle, et al.
International Journal of Medical Informatics|December 20, 2024
Real-time assistance in suicide prevention helplines using a deep learning-based recommender system: A randomized controlled trialSalim Salmi, Saskia Mérelle, Nikki van Eijk, et al.
Frontiers in Public Health|March 6, 2025
Deductively coding psychosocial autopsy interview data using a few-shot learning large language modelElias Balt, Salim Salmi, Sandjai Bhulai, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Journal of Medical Internet Research|January 7, 2021
Content-Based Recommender Support System for Counselors in a Suicide Prevention Chat Helpline: Design and Evaluation StudySalim Salmi, Saskia Mérelle, Renske Gilissen, et al.
JMIR Mental Health|September 26, 2024
The Most Effective Interventions for Classification Model Development to Predict Chat Outcomes Based on the Conversation Content in Online Suicide Prevention Chats: Machine Learning ApproachSalim Salmi, Saskia Mérelle, Renske Gilissen, et al.
BMC Public Health|March 18, 2022
Detecting changes in help seeker conversations on a suicide prevention helpline during the COVID- 19 pandemic: in-depth analysis using encoder representations from transformersSalim Salmi, Saskia Mérelle, Renske Gilissen, et al.
Journal of Medical Internet Research|August 1, 2024
Automated Behavioral Coding to Enhance the Effectiveness of Motivational Interviewing in a Chat-Based Suicide Prevention Helpline: Secondary Analysis of a Clinical TrialMathijs Pellemans, Salim Salmi, Saskia Mérelle, et al.
International Journal of Medical Informatics|December 20, 2024
Real-time assistance in suicide prevention helplines using a deep learning-based recommender system: A randomized controlled trialSalim Salmi, Saskia Mérelle, Nikki van Eijk, et al.
Frontiers in Public Health|March 6, 2025
Deductively coding psychosocial autopsy interview data using a few-shot learning large language modelElias Balt, Salim Salmi, Sandjai Bhulai, et al.
Pageof 1