Frontiers in Psychiatry | Computational Psychiatry

Original Research

Published on 03 Sep 2024

Choosing the right treatment - combining clinicians’ expert knowledge with data-driven predictions

in Computational Psychiatry

Eduardo Maekawa
Esben Jensen
Pepijn van de Ven
Kim Mathiasen

Frontiers in Psychiatry

doi 10.3389/fpsyt.2024.1422587

1,909 views

Original Research

Published on 03 Sep 2024

Identification of significant biomarkers for predicting the risk of bipolar disorder with arteriosclerosis based on integrative bioinformatics and machine learning

in Computational Psychiatry

Xiabing Zheng
Xiaozhe Zhang
Yaqi Zhang
Cai Chen
Erni Ji

Frontiers in Psychiatry

doi 10.3389/fpsyt.2024.1392437

2,373 views
1 citation

Original Research

Published on 01 Aug 2024

Predicting neuroticism with open-ended response using natural language processing

in Computational Psychiatry

Seowon Yoon
Jihee Jang
Gaeun Son
Soohyun Park
Jueun Hwang
Joon Yeon Choeh
Kee-Hong Choi

Frontiers in Psychiatry

doi 10.3389/fpsyt.2024.1437569

3,469 views

Brief Research Report

Published on 04 Jul 2024

Psychometric properties of the self-report version of the Strengths and Weaknesses of ADHD Symptoms and Normal Behavior Scale in a sample of Hungarian adolescents and young adults

in Computational Psychiatry

Kornél Vajsz
Laura R. Paulina
Salvador Trejo
Adrián A. Andaverde-Vega
James M. Swanson
Mónika Miklósi

Frontiers in Psychiatry

doi 10.3389/fpsyt.2024.1330716

4,934 views
2 citations

Original Research

Published on 28 Jun 2024

Multi-modal deep learning from imaging genomic data for schizophrenia classification

in Computational Psychiatry

Ayush Kanyal
Badhan Mazumder
Vince D. Calhoun
Adrian Preda
Jessica Turner
Judith Ford
Dong Hye Ye

Frontiers in Psychiatry

doi 10.3389/fpsyt.2024.1384842

5,639 views
22 citations

Systematic Review

Published on 24 Jun 2024

Applications of large language models in psychiatry: a systematic review

in Computational Psychiatry

Mahmud Omar
Shelly Soffer
Alexander W. Charney
Isotta Landi
Girish N. Nadkarni
Eyal Klang

Frontiers in Psychiatry

doi 10.3389/fpsyt.2024.1422807

13,889 views
47 citations

Brief Research Report

Published on 31 May 2024

TanhReLU -based convolutional neural networks for MDD classification

in Computational Psychiatry

Qiao Zhou
Sheng Sun
Shuo Wang
Ping Jiang

Frontiers in Psychiatry

doi 10.3389/fpsyt.2024.1346838

2,154 views
6 citations

Original Research

Published on 20 May 2024

Explaining deep learning-based representations of resting state functional connectivity data: focusing on interpreting nonlinear patterns in autism spectrum disorder

in Computational Psychiatry

Young-geun Kim
Orren Ravid
Xinyuan Zheng
Yoojean Kim
Yuval Neria
Seonjoo Lee
Xiaofu He
Xi Zhu

Frontiers in Psychiatry

doi 10.3389/fpsyt.2024.1397093

2,966 views
7 citations

Original Research

Published on 14 May 2024

Scalability, test–retest reliability and validity of the Brief INSPIRE-O measure of personal recovery in psychiatric services

in Computational Psychiatry

Stine Bjerrum Moeller
Pia Veldt Larsen
Stephen Austin
Mike Slade
Ida-Marie T. P. Arendt
Martin Stolpe Andersen
Sebastian Simonsen

Frontiers in Psychiatry

doi 10.3389/fpsyt.2024.1327020

3,296 views
15 citations

Original Research

Published on 03 May 2024

Bored to death: Artificial Intelligence research reveals the role of boredom in suicide behavior

in Computational Psychiatry

Shir Lissak
Yaakov Ophir
Refael Tikochinski
Anat Brunstein Klomek
Itay Sisso
Eyal Fruchter
Roi Reichart

Frontiers in Psychiatry

doi 10.3389/fpsyt.2024.1328122

9,269 views
5 citations

Original Research

Published on 28 Mar 2024

Emotion dysregulation links pathological eating styles and psychopathological traits in bariatric surgery candidates

in Computational Psychiatry

Arianna Belloli
Luigi F. Saccaro
Paola Landi
Milena Spera
Marco Antonio Zappa
Bernardo Dell’Osso
Grazia Rutigliano

Frontiers in Psychiatry

doi 10.3389/fpsyt.2024.1369720

3,393 views
12 citations

Original Research

Published on 20 Mar 2024

Intraindividual time-varying dynamic network of affects: linear autoregressive mixed-effects models for ecological momentary assessment

in Computational Psychiatry

Shakoor Pooseh
Raffael Kalisch
Göran Köber
Harald Binder
Jens Timmer

Frontiers in Psychiatry

doi 10.3389/fpsyt.2024.1213863

2,977 views
1 citation

Opinion

Published on 11 Mar 2024

Machine learning in mental health and its relationship with epidemiological practice

in Computational Psychiatry

Marcos DelPozo-Banos
Robert Stewart
Ann John

Frontiers in Psychiatry

doi 10.3389/fpsyt.2024.1347100

3,071 views
1 citation

Original Research

Published on 01 Mar 2024

Prediction of cognitive impairment using higher order item response theory and machine learning models

in Computational Psychiatry

Lihua Yao
Yusuke Shono
Cindy Nowinski
Elizabeth M. Dworak
Aaron Kaat
Shirley Chen
Rebecca Lovett
Emily Ho
Laura Curtis
Michael Wolf

Frontiers in Psychiatry

doi 10.3389/fpsyt.2023.1297952

3,065 views
3 citations

Original Research

Published on 15 Feb 2024

Explainable fuzzy clustering framework reveals divergent default mode network connectivity dynamics in schizophrenia

in Computational Psychiatry

Charles A. Ellis
Robyn L. Miller
Vince D. Calhoun

Frontiers in Psychiatry

doi 10.3389/fpsyt.2024.1165424

2,627 views
3 citations

Opinion

Published on 05 Feb 2024

Investigating movement synchrony in therapeutic settings using socially interactive agents: an experimental toolkit

in Computational Psychiatry

Janet Wessler
Patrick Gebhard
Sigal Zilcha-Mano

Frontiers in Psychiatry

doi 10.3389/fpsyt.2024.1330158

2,535 views
3 citations

Original Research

Published on 05 Feb 2024

Diagnosing and tracking depression based on eye movement in response to virtual reality

in Computational Psychiatry

Zhiguo Zheng
Lijuan Liang
Xiong Luo
Jie Chen
Meirong Lin
Guanjun Wang
Chenyang Xue

Frontiers in Psychiatry

doi 10.3389/fpsyt.2024.1280935

7,519 views
7 citations

Opinion

Published on 18 Jan 2024

How will AI make sense of our messy lives and improve our mental health?

in Computational Psychiatry

Jan Speechley
Michael McTernan

Frontiers in Psychiatry

doi 10.3389/fpsyt.2024.1347358

2,518 views

Study Protocol

Published on 15 Jan 2024

Evaluating machine learning-enabled and multimodal data-driven exercise prescriptions for mental health: a randomized controlled trial protocol

in Computational Psychiatry

Miaoqing Tan
Yanning Xiao
Fengshi Jing
Yewei Xie
Sanmei Lu
Mingqiang Xiang
Hao Ren

Frontiers in Psychiatry

doi 10.3389/fpsyt.2024.1352420

7,927 views
16 citations

Original Research

Published on 21 Dec 2023

Prediction of patient admission and readmission in adults from a Colombian cohort with bipolar disorder using artificial intelligence

in Computational Psychiatry

María Alejandra Palacios-Ariza
Esteban Morales-Mendoza
Jossie Murcia
Rafael Arias-Duarte
Germán Lara-Castellanos
Andrés Cely-Jiménez
Juan Carlos Rincón-Acuña
Marcos J. Araúzo-Bravo
Jorge McDouall

Frontiers in Psychiatry

doi 10.3389/fpsyt.2023.1266548

4,638 views
7 citations

Original Research

Published on 11 Dec 2023

Identifying features of risk periods for suicide attempts using document frequency and language use in electronic health records

in Computational Psychiatry

Rina Dutta
George Gkotsis
Sumithra U. Velupillai
Johnny Downs
Angus Roberts
Robert Stewart
Matthew Hotopf

Frontiers in Psychiatry

doi 10.3389/fpsyt.2023.1217649

3,211 views
2 citations

Original Research

Published on 08 Dec 2023

Selectively predicting the onset of ADHD, oppositional defiant disorder, and conduct disorder in early adolescence with high accuracy

in Computational Psychiatry

Nina de Lacy
Michael J. Ramshaw

Frontiers in Psychiatry

doi 10.3389/fpsyt.2023.1280326

7,518 views
9 citations

Editorial

Published on 28 Nov 2023

Editorial: Network science approaches to risk assessment of mental disorders and dementia

in Computational Psychiatry

Zhongzhi Xu
Wentian Li
Xiaoying Tang
Mingyang Li
Paul S. F. Yip
Qingpeng Zhang

Frontiers in Psychiatry

doi 10.3389/fpsyt.2023.1286227

1,856 views

Editorial

Published on 27 Nov 2023

Editorial: Computational models of brain in cognitive function and mental disorder

in Computational Psychiatry

Rubin Wang
Jianzhong Su

Frontiers in Psychiatry

doi 10.3389/fpsyt.2023.1230587

2,228 views
2 citations

221 articles

articles

Choosing the right treatment - combining clinicians’ expert knowledge with data-driven predictions

Identification of significant biomarkers for predicting the risk of bipolar disorder with arteriosclerosis based on integrative bioinformatics and machine learning

Predicting neuroticism with open-ended response using natural language processing

Psychometric properties of the self-report version of the Strengths and Weaknesses of ADHD Symptoms and Normal Behavior Scale in a sample of Hungarian adolescents and young adults

Multi-modal deep learning from imaging genomic data for schizophrenia classification

Applications of large language models in psychiatry: a systematic review

TanhReLU -based convolutional neural networks for MDD classification

Explaining deep learning-based representations of resting state functional connectivity data: focusing on interpreting nonlinear patterns in autism spectrum disorder

Scalability, test–retest reliability and validity of the Brief INSPIRE-O measure of personal recovery in psychiatric services

Bored to death: Artificial Intelligence research reveals the role of boredom in suicide behavior

Emotion dysregulation links pathological eating styles and psychopathological traits in bariatric surgery candidates

Intraindividual time-varying dynamic network of affects: linear autoregressive mixed-effects models for ecological momentary assessment

Machine learning in mental health and its relationship with epidemiological practice

Prediction of cognitive impairment using higher order item response theory and machine learning models

Explainable fuzzy clustering framework reveals divergent default mode network connectivity dynamics in schizophrenia

Investigating movement synchrony in therapeutic settings using socially interactive agents: an experimental toolkit

Diagnosing and tracking depression based on eye movement in response to virtual reality

How will AI make sense of our messy lives and improve our mental health?

Evaluating machine learning-enabled and multimodal data-driven exercise prescriptions for mental health: a randomized controlled trial protocol

Prediction of patient admission and readmission in adults from a Colombian cohort with bipolar disorder using artificial intelligence

Identifying features of risk periods for suicide attempts using document frequency and language use in electronic health records

Selectively predicting the onset of ADHD, oppositional defiant disorder, and conduct disorder in early adolescence with high accuracy

Editorial: Network science approaches to risk assessment of mental disorders and dementia

Editorial: Computational models of brain in cognitive function and mental disorder