Original Research

Published on 29 Nov 2024

Cardiovascular disease prediction model based on patient behavior patterns in the context of deep learning: a time-series data analysis perspective

in Computational Psychiatry

Yubo Wang
Chengfeng Rao
Qinghua Cheng
Jiahao Yang

Frontiers in Psychiatry

doi 10.3389/fpsyt.2024.1418969

121 views

Original Research

Accepted on 25 Nov 2024

An explainable predictive model for anxiety symptoms risk among Chinese older adults with abdominal obesity using a machine learning and SHapley Additive exPlanations (SHAP) approach

in Computational Psychiatry

Tengfei Niu
Shiwei Cao
Jingyu Cheng
Yu Zhang
Zitong Zhang
Ruiling Xue
JINGXI MA
Qian Ran
Xiaobing Xian

Frontiers in Psychiatry

doi 10.3389/fpsyt.2024.1451703

Original Research

Published on 18 Nov 2024

Multi-environment prediction of suicidal beliefs

in Computational Psychiatry

Austin V. Goddard
Audrey Y. Su
Yu Xiang
Craig J. Bryan

Frontiers in Psychiatry

doi 10.3389/fpsyt.2024.1425416

254 views

Original Research

Published on 14 Nov 2024

The ethical aspects of integrating sentiment and emotion analysis in chatbots for depression intervention

in Computational Psychiatry

Kerstin Denecke
Elia Gabarron

Frontiers in Psychiatry

doi 10.3389/fpsyt.2024.1462083

487 views

Brief Research Report

Published on 14 Oct 2024

Generation and discrimination of autism MRI images based on autoencoder

in Computational Psychiatry

Yuxin Shi
Yongli Gong
Yurong Guan
Jiawei Tang

Frontiers in Psychiatry

doi 10.3389/fpsyt.2024.1395243

513 views

Original Research

Accepted on 07 Oct 2024

Data-Driven vs. Psychological Personality Temperaments: Theoretical and Clinical Utility of Personality Measures in Psychiatry

in Computational Psychiatry

Abdulrahman S. Sawalma
Mahmud A. Sehwail
Jürgen Dammers
Mohammad M. Herzallah

Frontiers in Psychiatry

doi 10.3389/fpsyt.2024.1436121

Original Research

Published on 04 Oct 2024

Generative artificial intelligence model for simulating structural brain changes in schizophrenia

in Computational Psychiatry

Hiroyuki Yamaguchi
Genichi Sugihara
Masaaki Shimizu
Yuichi Yamashita

Frontiers in Psychiatry

doi 10.3389/fpsyt.2024.1437075

989 views

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

248 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

795 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

808 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

1,027 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

1,354 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

1,624 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

2,830 views

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

655 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

1,110 views
1 citation

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Articles

Cardiovascular disease prediction model based on patient behavior patterns in the context of deep learning: a time-series data analysis perspective

An explainable predictive model for anxiety symptoms risk among Chinese older adults with abdominal obesity using a machine learning and SHapley Additive exPlanations (SHAP) approach

Multi-environment prediction of suicidal beliefs

The ethical aspects of integrating sentiment and emotion analysis in chatbots for depression intervention

Generation and discrimination of autism MRI images based on autoencoder

Data-Driven vs. Psychological Personality Temperaments: Theoretical and Clinical Utility of Personality Measures in Psychiatry

Generative artificial intelligence model for simulating structural brain changes in schizophrenia

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