Frontiers | Methods and Applications of Natural Language Processing in Psychiatry Research

Methods and Applications of Natural Language Processing in Psychiatry Research

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ORIGINAL RESEARCH

Published on 22 Dec 2022

Effective Prediction and Important Counseling Experience for Perceived Helpfulness of Social Question and Answering-Based Online Counseling: An Explainable Machine Learning Model

Yinghui Huang
Hui Liu
Shen Li
Weijun Wang
Zongkui Zhou

doi 10.3389/fpubh.2022.817570

3,586 views

EDITORIAL

Published on 11 Jul 2022

Editorial: Methods and applications of natural language processing in psychiatry research

Li Wang
Shuyan Li
Hui Chen
Yunyun Zhou

doi 10.3389/fpsyt.2022.972799

843 views

ORIGINAL RESEARCH

Published on 20 May 2022

Identification and Impact Analysis of Family History of Psychiatric Disorder in Mood Disorder Patients With Pretrained Language Model

Cheng Wan
Xuewen Ge
Junjie Wang
Xin Zhang
Yun Yu
Jie Hu
Yun Liu
Hui Ma

doi 10.3389/fpsyt.2022.861930

1,487 views
4 citations

ORIGINAL RESEARCH

Published on 10 Dec 2021

Relevant Characteristics Analysis Using Natural Language Processing and Machine Learning Based on Phenotypes and T-Cell Subsets in Systemic Lupus Erythematosus Patients With Anxiety

Xi-xi Gu
Yi Jin
Ting Fu
Xiao-ming Zhang
Teng Li
Ying Yang
Rong Li
Wei Zhou
Jia-xin Guo
3 more
Zhi-feng Gu

doi 10.3389/fpsyt.2021.793505

1,664 views
8 citations

ORIGINAL RESEARCH

Published on 22 Oct 2021

Exploring the Relationship Between Anxiety, Depression, and Sleep Disturbance Among HIV Patients in China From a Network Perspective

Ni Wang
Muyu Wang
Xin Xin
Tong Zhang
Hao Wu
Xiaojie Huang
Honglei Liu

doi 10.3389/fpsyt.2021.764246

1,979 views
11 citations

ORIGINAL RESEARCH

Published on 21 Oct 2021

Detecting Symptom Errors in Neural Machine Translation of Patient Health Information on Depressive Disorders: Developing Interpretable Bayesian Machine Learning Classifiers

Wenxiu Xie
Meng Ji
Mengdan Zhao
Tianqi Zhou
Fan Yang
Xiaobo Qian
Chi-Yin Chow
Kam-Yiu Lam
Tianyong Hao

doi 10.3389/fpsyt.2021.771562

1,891 views
3 citations

ORIGINAL RESEARCH

Published on 12 Oct 2021

Leveraging Text Mining Approach to Identify What People Want to Know About Mental Disorders From Online Inquiry Platforms

Soowon Park
Yaeji Kim-Knauss
Jin-ah Sim

doi 10.3389/fpubh.2021.759802

3,279 views
2 citations

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Articles

Effective Prediction and Important Counseling Experience for Perceived Helpfulness of Social Question and Answering-Based Online Counseling: An Explainable Machine Learning Model

Editorial: Methods and applications of natural language processing in psychiatry research

Identification and Impact Analysis of Family History of Psychiatric Disorder in Mood Disorder Patients With Pretrained Language Model

Relevant Characteristics Analysis Using Natural Language Processing and Machine Learning Based on Phenotypes and T-Cell Subsets in Systemic Lupus Erythematosus Patients With Anxiety

Exploring the Relationship Between Anxiety, Depression, and Sleep Disturbance Among HIV Patients in China From a Network Perspective

Detecting Symptom Errors in Neural Machine Translation of Patient Health Information on Depressive Disorders: Developing Interpretable Bayesian Machine Learning Classifiers

Leveraging Text Mining Approach to Identify What People Want to Know About Mental Disorders From Online Inquiry Platforms

Frontiers in Psychiatry

Participating Journals

Impact