Frontiers in Psychiatry | Computational Psychiatry

Correction

Published on 30 Sep 2024

Corrigendum: 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.2024.1495351

388 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

1,080 views

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

1,011 views

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

1,501 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

1,897 views

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

2,318 views
1 citation

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

4,438 views
8 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

867 views
1 citation

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

1,432 views
4 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

1,470 views
2 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

3,536 views
2 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

1,919 views
9 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

1,570 views

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

1,664 views

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

1,842 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

1,349 views
2 citations

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Articles

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

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

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

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