MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare

29 October 2021

Papers citing "MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare"

20 / 20 papers shown

Title
JiraiBench: A Bilingual Benchmark for Evaluating Large Language Models' Detection of Human Self-Destructive Behavior Content in Jirai Community Yunze Xiao Tingyu He Lionel Z. Wang Yiming Ma Xingyu Song Xiaohang Xu Irene Z Li Ka Chung Ng 55 0 0 27 Mar 2025
FedMentalCare: Towards Privacy-Preserving Fine-Tuned LLMs to Analyze Mental Health Status Using Federated Learning Framework S M Sarwar AI4MH 46 0 0 27 Feb 2025
DepressionX: Knowledge Infused Residual Attention for Explainable Depression Severity Assessment Yusif Ibrahimov Tarique Anwar Tommy Yuan 46 0 0 28 Jan 2025
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics Kai He Rui Mao Qika Lin Yucheng Ruan Xiang Lan Mengling Feng Min Zhang LM&MA AILaw 93 154 0 28 Jan 2025
Figurative-cum-Commonsense Knowledge Infusion for Multimodal Mental Health Meme Classification Abdullah Mazhar Zuhair Hasan Shaik Aseem Srivastava Polly Ruhnke Lavanya Vaddavalli Sri Keshav Katragadda Shweta Yadav Md. Shad Akhtar AI4MH 29 1 0 28 Jan 2025
Machine Learning Approaches for Mental Illness Detection on Social Media: A Systematic Review of Biases and Methodological Challenges Yuchen Cao Jianglai Dai Zhongyan Wang Yeyubei Zhang Xiaorui Shen Yunchong Liu Yexin Tian 27 5 0 21 Oct 2024
Improving Minority Stress Detection with Emotions Jonathan Ivey Susan Gauch 8 1 0 29 Nov 2023
MANTIS at #SMM4H 2023: Leveraging Hybrid and Ensemble Models for Detection of Social Anxiety Disorder on Reddit S. Zanwar Daniel Wiechmann Yu Qiao E. Kerz 14 0 0 28 Nov 2023
Explainable Depression Symptom Detection in Social Media Eliseo Bao Souto Anxo Perez Javier Parapar 30 5 0 20 Oct 2023
Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data Xuhai Xu Bingsheng Yao Yu Dong Saadia Gabriel Hongfeng Yu James A. Hendler Marzyeh Ghassemi A. Dey Dakuo Wang LM&MA CLL AI4MH 48 64 0 26 Jul 2023
Training Models to Generate, Recognize, and Reframe Unhelpful Thoughts Mounica Maddela Megan Ung Jing Xu Andrea Madotto H. Foran Y-Lan Boureau LRM 36 21 0 06 Jul 2023
Utilizing ChatGPT Generated Data to Retrieve Depression Symptoms from Social Media Ana-Maria Bucur AI4MH 32 10 0 05 Jul 2023
Emotion fusion for mental illness detection from social media: A survey Tianlin Zhang Kailai Yang Shaoxiong Ji Sophia Ananiadou 30 54 0 19 Apr 2023
Multi-class Categorization of Reasons behind Mental Disturbance in Long Texts Muskan Garg AI4MH 21 2 0 08 Apr 2023
Using Open-Ended Stressor Responses to Predict Depressive Symptoms across Demographics Carlos Alejandro Aguirre Mark Dredze Philip Resnik 27 0 0 15 Nov 2022
Hierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept Mappings Sooji Han Rui Mao Min Zhang 11 64 0 15 Sep 2022
Global Readiness of Language Technology for Healthcare: What would it Take to Combat the Next Pandemic? Ishani Mondal Kabir Ahuja Mohit Jain Jacki O Neil Kalika Bali Monojit Choudhury ELM LM&MA 26 4 0 06 Apr 2022
Modern Views of Machine Learning for Precision Psychiatry Z. Chen Prathamesh Kulkarni Kulkarni I. Galatzer-Levy Benedetta Bigio C. Nasca Yu Zhang 54 90 0 04 Apr 2022
A Unified Review of Deep Learning for Automated Medical Coding Shaoxiong Ji Wei Sun Xiaobo Li Hang Dong Ara Taalas Yijia Zhang Honghan Wu Esa Pitkänen Pekka Marttinen AI4TS MedIm 26 27 0 08 Jan 2022
Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health Andrew Lee Jonathan K. Kummerfeld Lawrence C. An Rada Mihalcea 38 23 0 28 Sep 2021