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Improving the Generalizability of Depression Detection by Leveraging
  Clinical Questionnaires

Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires

21 April 2022
Thong Nguyen
Andrew Yates
Ayah Zirikly
Bart Desmet
Arman Cohan
    AI4MH
ArXivPDFHTML

Papers citing "Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires"

6 / 6 papers shown
Title
Explainable Depression Symptom Detection in Social Media
Explainable Depression Symptom Detection in Social Media
Eliseo Bao Souto
Anxo Perez
Javier Parapar
24
5
0
20 Oct 2023
Mental-LLM: Leveraging Large Language Models for Mental Health
  Prediction via Online Text Data
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
42
64
0
26 Jul 2023
Utilizing ChatGPT Generated Data to Retrieve Depression Symptoms from
  Social Media
Utilizing ChatGPT Generated Data to Retrieve Depression Symptoms from Social Media
Ana-Maria Bucur
AI4MH
24
10
0
05 Jul 2023
Semantic Similarity Models for Depression Severity Estimation
Semantic Similarity Models for Depression Severity Estimation
Anxo Perez
Neha Warikoo
Kexin Wang
Javier Parapar
Iryna Gurevych
AI4MH
15
7
0
14 Nov 2022
State-of-the-art generalisation research in NLP: A taxonomy and review
State-of-the-art generalisation research in NLP: A taxonomy and review
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Ryan Cotterell
Zhijing Jin
114
93
0
06 Oct 2022
Micromodels for Efficient, Explainable, and Reusable Systems: A Case
  Study on Mental Health
Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health
Andrew Lee
Jonathan K. Kummerfeld
Lawrence C. An
Rada Mihalcea
38
22
0
28 Sep 2021
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