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Review of Machine Learning Algorithms for Diagnosing Mental Illness
Gyeongcheol Cho, Jinyeong Yim, Younyoung Choi, Jungmin Ko, Seoung-Hwan Lee
Psychiatry Investig. 2019;16(4):262-269. Published online 2019 Apr 8 DOI: https://doi.org/10.30773/pi.2018.12.21.2
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AI-enabled clinical decision support tools for mental healthcare: A product review
Anne-Kathrin Kleine, Eesha Kokje, Pia Hummelsberger, Eva Lermer, Insa Schaffernak, Susanne Gaube
Artificial Intelligence in Medicine.2025; 160: 103052. CrossRef Responsible Artificial Intelligence for Mental Health Disorders: Current Applications and Future Challenges
Shaker El-Sappagh, Waleed Nazih, Meshal Alharbi, Tamer Abuhmed
Journal of Disability Research.2025;[Epub] CrossRef Machine learning prediction of anxiety symptoms in social anxiety disorder: utilizing multimodal data from virtual reality sessions
Jin-Hyun Park, Yu-Bin Shin, Dooyoung Jung, Ji-Won Hur, Seung Pil Pack, Heon-Jeong Lee, Hwamin Lee, Chul-Hyun Cho
Frontiers in Psychiatry.2025;[Epub] CrossRef Applying AI in the Context of the Association Between Device-Based Assessment of Physical Activity and Mental Health: Systematic Review
Simon Woll, Dennis Birkenmaier, Gergely Biri, Rebecca Nissen, Luisa Lutz, Marc Schroth, Ulrich W Ebner-Priemer, Marco Giurgiu
JMIR mHealth and uHealth.2025; 13: e59660. CrossRef Revealing sleep and pain reciprocity with wearables and machine learning
Samsuk Kim, Jamie M. Zeitzer, Sean Mackey, Beth D. Darnall
Communications Medicine.2025;[Epub] CrossRef Machine learning approaches for classifying major depressive disorder using biological and neuropsychological markers: A meta-analysis
Lin Zhang, Liwen Jian, Yiming Long, Zhihong Ren, Vince D Calhoun, Ives Cavalcante Passos, Xinyu Tian, Yuhong Xiang
Neuroscience & Biobehavioral Reviews.2025; : 106201. CrossRef RETRACTED ARTICLE: Neuropathic complications: Type II diabetes mellitus and other risky parameters using machine learning algorithms
R. Usharani, A. Shanthini
Journal of Ambient Intelligence and Humanized Computing.2024; 15(S1): 179. CrossRef An Effective Chronic Disease Prediction using Multi-Objective Firefly Optimisation Random Forest Algorithm
S. Kavi Priya, N. Saranya
IETE Journal of Research.2024; 70(1): 307. CrossRef Predicting the climate impact of healthcare facilities using gradient boosting machines
Hao Yin, Bhavna Sharma, Howard Hu, Fei Liu, Mehak Kaur, Gary Cohen, Rob McConnell, Sandrah P. Eckel
Cleaner Environmental Systems.2024; 12: 100155. CrossRef Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023
Mahboobeh Jafari, Delaram Sadeghi, Afshin Shoeibi, Hamid Alinejad-Rokny, Amin Beheshti, David López García, Zhaolin Chen, U. Rajendra Acharya, Juan M. Gorriz
Applied Intelligence.2024; 54(1): 35. CrossRef A primer on the use of machine learning to distil knowledge from data in biological psychiatry
Thomas P. Quinn, Jonathan L. Hess, Victoria S. Marshe, Michelle M. Barnett, Anne-Christin Hauschild, Malgorzata Maciukiewicz, Samar S. M. Elsheikh, Xiaoyu Men, Emanuel Schwarz, Yannis J. Trakadis, Michael S. Breen, Eric J. Barnett, Yanli Zhang-James, Mehm
Molecular Psychiatry.2024; 29(2): 387. CrossRef Development of intelligent system based on synthesis of affective signals and deep neural networks to foster mental health of the Indian virtual community
Mandeep Kaur Arora, Jaspreet Singh, Anju Singh
Social Network Analysis and Mining.2024;[Epub] CrossRef Chronological sewing training optimization enabled deep learning for autism spectrum disorder using EEG signal
Joy Karan Singh, Deepti Kakkar
Multimedia Tools and Applications.2024; 83(30): 74177. CrossRef LGAG-Net: Lesion-Guided Adaptive Graph Network for Bone Abnormality Detection From Musculoskeletal Radiograph
Yong Liao, Xiang Li, Chengfeng Peng
IEEE Access.2024; 12: 26710. CrossRef Validating the efficacy and value proposition of mental fitness vocal biomarkers in a psychiatric population: prospective cohort study
Erik Larsen, Olivia Murton, Xinyu Song, Dale Joachim, Devon Watts, Flavio Kapczinski, Lindsey Venesky, Gerald Hurowitz
Frontiers in Psychiatry.2024;[Epub] CrossRef Artificial Intelligence Models to Predict Disability for Mental Health Disorders
Hasan Alkahtani, Theyazn H. H. Aldhyani, Ahmed Abdullah Alqarni
Journal of Disability Research.2024;[Epub] CrossRef A pilot study on AI-driven approaches for classification of mental health disorders
Naman Dhariwal, Nidhi Sengupta, M. Madiajagan, Kiran Kumar Patro, P. Lalitha Kumari, Nagwan Abdel Samee, Ryszard Tadeusiewicz, Paweł Pławiak, Allam Jaya Prakash
Frontiers in Human Neuroscience.2024;[Epub] CrossRef Simulation application of sensors based on Kalman filter algorithm in student psychological crisis prediction model
Chen Sheng
Measurement: Sensors.2024; 33: 101190. CrossRef Artificial Intelligence enabled cognitive computer-centered digital analysis model for examination of the children’s mental health
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Evolutionary Intelligence.2024; 17(5-6): 3675. CrossRef Microbiome-Gut-Brain Axis: AI Insights
Arif Amaan, Garg Prekshi , Srivastava Prachi
Insights in Biology and Medicine.2024; 8(2): 001. CrossRef Machine Learning Techniques to Predict Mental Health Diagnoses: A Systematic Literature Review
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Clinical Practice & Epidemiology in Mental Health.2024;[Epub] CrossRef Machine learning applications in studying mental health among immigrants and racial and ethnic minorities: an exploratory scoping review
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BMC Medical Informatics and Decision Making.2024;[Epub] CrossRef Investigating intrinsic and situational predictors of depression among older adults: An analysis of the CHARLS database
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Asian Journal of Psychiatry.2024; 102: 104279. CrossRef Mental Disorders Prognosis and Predictions Using Artificial Intelligence Techniques: a Comprehensive Study
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BMC Medical Informatics and Decision Making.2024;[Epub] CrossRef Predicting place of delivery choice among childbearing women in East Africa: a comparative analysis of advanced machine learning techniques
Habtamu Setegn Ngusie, Getanew Aschalew Tesfa, Asefa Adimasu Taddese, Ermias Bekele Enyew, Tilahun Dessie Alene, Gebremeskel Kibret Abebe, Agmasie Damtew Walle, Alemu Birara Zemariam
Frontiers in Public Health.2024;[Epub] CrossRef Review on the Use of Brain Computer Interface Rehabilitation Methods for Treating Mental and Neurological Conditions
Vladimir Khorev, Semen Kurkin, Artem Badarin, Vladimir Antipov, Elena Pitsik, Andrey Andreev, Vadim Grubov, Oxana Drapkina, Anton Kiselev, Alexander Hramov
Journal of Integrative Neuroscience.2024;[Epub] CrossRef Virtual reality-assisted prediction of adult ADHD based on eye tracking, EEG, actigraphy and behavioral indices: a machine learning analysis of independent training and test samples
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Translational Psychiatry.2024;[Epub] CrossRef Deep Learning Approach for Predicting Psychodiagnosis
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Acta Informatica Pragensia.2024; 13(2): 288. CrossRef Automatic Detection of Putative Mild Cognitive Impairment from Speech Acoustic Features in Mandarin-Speaking Elders
Rumi Wang, Chen Kuang, Chengyu Guo, Yong Chen, Canyang Li, Yoshihiro Matsumura, Masashi Ishimaru, Alice J. Van Pelt, Fei Chen, Jin-Tai Yu
Journal of Alzheimer’s Disease.2023; 95(3): 901. CrossRef Machine Learning Techniques in Adaptive and Personalized Systems for Health and Wellness
Oladapo Oyebode, Jonathon Fowles, Darren Steeves, Rita Orji
International Journal of Human–Computer Interaction.2023; 39(9): 1938. CrossRef A machine learning investigation into the temporal dynamics of physical activity‐mediated emotional regulation in adolescents with anorexia nervosa and healthy controls
Damien Lekkas, Joseph A. Gyorda, Nicholas C. Jacobson
European Eating Disorders Review.2023; 31(1): 147. CrossRef A machine learning model to predict suicidal tendencies in students
Lalasa Mukku, Jyothi Thomas
Asian Journal of Psychiatry.2023; 79: 103363. CrossRef Applying ensemble machine learning models to predict individual response to a digitally delivered worry postponement intervention
Joseph A. Gyorda, Matthew D. Nemesure, George Price, Nicholas C. Jacobson
Journal of Affective Disorders.2023; 320: 201. CrossRef Management of post-stroke depression (PSD) by electroencephalography for effective rehabilitation
Bibo Yang, Yanhuan Huang, Zengyong Li, Xiaoling Hu
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Procedia Computer Science.2023; 218: 1542. CrossRef Heart and brain traumatic stress biomarker analysis with and without machine learning: A scoping review
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International Journal of Psychophysiology.2023; 185: 27. CrossRef The potential of electroencephalography coherence to predict the outcome of repetitive transcranial magnetic stimulation in insomnia disorder
Xiaozi Zhang, Xumeng Zhao, Ziqiang Shao, Xinwen Wen, Ling Lu, Minpeng Li, Jiayi Liu, Yan Li, Shan Zhang, Yongjian Guo, Xiaoyang Liu, Lirong Yue, Jun Li, Jixin Liu, Yuanqiang Zhu, Yifei Zhu, Xiaona Sheng, Dahua Yu, Kai Yuan
Journal of Psychiatric Research.2023; 160: 56. CrossRef An Intelligent Approach for Accurate Prediction of Chronic Diseases
S. Kavi Priya, N. Saranya
Computer Systems Science and Engineering.2023; 46(2): 2571. CrossRef Deep Learning based techniques for Neuro-degenerative disorders detection
L.V.S.K.B. Kasyap Varanasi, Chandra Mohan Dasari
Engineering Applications of Artificial Intelligence.2023; 122: 106103. CrossRef How machine learning is used to study addiction in digital healthcare: A systematic review
Bijoy Chhetri, Lalit Mohan Goyal, Mamta Mittal
International Journal of Information Management Data Insights.2023; 3(2): 100175. CrossRef Methodologies for Monitoring Mental Health on Twitter: Systematic Review
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SoftwareX.2023; 23: 101420. CrossRef Sentiments Analysis of Covid-19 Vaccine Tweets Using Machine Learning and Vader Lexicon Method
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ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal.2023; 11(4): 507. CrossRef Application of data fusion for automated detection of children with developmental and mental disorders: A systematic review of the last decade
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Information Fusion.2023; 99: 101898. CrossRef Serum-based Raman spectroscopic diagnosis of blast-induced brain injury in a rat model
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Diagnostics.2023; 13(14): 2323. CrossRef Implementation of Machine Learning and Deep Learning Techniques for the Detection of Epileptic Seizures Using Intracranial Electroencephalography
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Applied Sciences.2023; 13(15): 8747. CrossRef Predicting non-improvement of symptoms in daily mental healthcare practice using routinely collected patient-level data: a machine learning approach
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Frontiers in Psychiatry.2023;[Epub] CrossRef Predicting Symptom Improvement During Depression Treatment Using Sleep Sensory Data
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Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.2023; 7(3): 1. CrossRef The future of psychiatry with artificial intelligence: can the man-machine duo redefine the tenets?
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Consortium Psychiatricum.2023; 4(3): 72. CrossRef Harnessing Artificial Intelligence: Strategies for Mental Health Nurses in Optimizing Psychiatric Patient Care
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Informatics in Medicine Unlocked.2023; 43: 101393. CrossRef Prediction and diagnosis of depression using machine learning with electronic health records data: a systematic review
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Concurrency and Computation: Practice and Experience.2022;[Epub] CrossRef Transcriptomics and machine learning to advance schizophrenia genetics: A case-control study using post-mortem brain data
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Frontiers in Psychiatry.2022;[Epub] CrossRef Age-Related Changes in Lipid and Glucose Levels Associated with Drug Use and Mortality: An Observational Study
Rene Markovič, Vladimir Grubelnik, Helena Blažun Vošner, Peter Kokol, Matej Završnik, Karmen Janša, Marjeta Zupet, Jernej Završnik, Marko Marhl
Journal of Personalized Medicine.2022; 12(2): 280. CrossRef Combining multi-dimensional molecular fingerprints to predict the hERG cardiotoxicity of compounds
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Computers in Biology and Medicine.2022; 144: 105390. CrossRef Stress detection using natural language processing and machine learning over social interactions
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JMIR Formative Research.2022; 6(8): e35563. CrossRef From promise to practice: towards the realisation of AI-informed mental health care
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