Diagnostic Tools in Mental Health

Exploring the Perspectives of Older Adults on a Digital Brain Health Platform Using Natural Language Processing: Cohort Study

Huitong Ding, Katherine Gifford, Ludy C Shih, Kristi Ho, Salman Rahman, Akwaugo Igwe, Spencer Low, Zachary Popp, Edward Searls, Zexu Li, Sanskruti Madan, Alexa Burk, Phillip H Hwang, Ileana De Anda-Duran, Vijaya B Kolachalama, Rhoda Au, Honghuang Lin

JMIR Form Res 2024 (Nov 18); 8:e60453

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AI for Analyzing Mental Health Disorders Among Social Media Users: Quarter-Century Narrative Review of Progress and Challenges

David Owen, Amy J Lynham, Sophie E Smart, Antonio F Pardiñas, Jose Camacho Collados

J Med Internet Res 2024 (Nov 15); 26:e59225

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Exploring the Intersection of Schizophrenia, Machine Learning, and Genomics: Scoping Review

Alexandre Hudon, Mélissa Beaudoin, Kingsada Phraxayavong, Stéphane Potvin, Alexandre Dumais

JMIR Bioinform Biotech 2024 (Nov 15); 5:e62752

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Comprehensive Symptom Prediction in Inpatients With Acute Psychiatric Disorders Using Wearable-Based Deep Learning Models: Development and Validation Study

Minseok Hong, Ri-Ra Kang, Jeong Hun Yang, Sang Jin Rhee, Hyunju Lee, Yong-gyom Kim, KangYoon Lee, HongGi Kim, Yu Sang Lee, Tak Youn, Se Hyun Kim, Yong Min Ahn

J Med Internet Res 2024 (Nov 13); 26:e65994

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Early Identification of Cognitive Impairment in Community Environments Through Modeling Subtle Inconsistencies in Questionnaire Responses: Machine Learning Model Development and Validation

Hongxin Gao, Stefan Schneider, Raymond Hernandez, Jenny Harris, Danny Maupin, Doerte U Junghaenel, Arie Kapteyn, Arthur Stone, Elizabeth Zelinski, Erik Meijer, Pey-Jiuan Lee, Bart Orriens, Haomiao Jin

JMIR Form Res 2024 (Nov 13); 8:e54335

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Automated Speech Analysis for Risk Detection of Depression, Anxiety, Insomnia, and Fatigue: Algorithm Development and Validation Study

Rachid Riad, Martin Denais, Marc de Gennes, Adrien Lesage, Vincent Oustric, Xuan Nga Cao, Stéphane Mouchabac, Alexis Bourla

J Med Internet Res 2024 (Oct 31); 26:e58572

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Digital Phenotypes of Mobile Keyboard Backspace Rates and Their Associations With Symptoms of Mood Disorder: Algorithm Development and Validation

Qimin Liu, Emma Ning, Mindy K Ross, Andrea Cladek, Sarah Kabir, Amruta Barve, Ellyn Kennelly, Faraz Hussain, Jennifer Duffecy, Scott A Langenecker, Theresa M Nguyen, Theja Tulabandhula, John Zulueta, Alexander P Demos, Alex Leow, Olusola Ajilore

J Med Internet Res 2024 (Oct 29); 26:e51269

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Enhancing Suicide Risk Prediction With Polygenic Scores in Psychiatric Emergency Settings: Prospective Study

Younga Heather Lee, Yingzhe Zhang, Chris J Kennedy, Travis T Mallard, Zhaowen Liu, Phuong Linh Vu, Yen-Chen Anne Feng, Tian Ge, Maria V Petukhova, Ronald C Kessler, Matthew K Nock, Jordan W Smoller

JMIR Bioinform Biotech 2024 (Oct 23); 5:e58357

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Automated Detection of Neurodevelopmental Disorders Using Face-to-Face Mobile Technology Among Typically Developing Greek Children: Randomized Controlled Trial

Eugenia I Toki, Victoria Zakopoulou, Giorgos Tatsis, Jenny Pange

JMIR Form Res 2024 (Oct 11); 8:e53465

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Clinical Use of Mental Health Digital Therapeutics in a Large Health Care Delivery System: Retrospective Patient Cohort Study and Provider Survey

Samuel J Ridout, Kathryn K Ridout, Teresa Y Lin, Cynthia I Campbell

JMIR Ment Health 2024 (Oct 02); 11:e56574

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Extracting Critical Information from Unstructured Clinicians’ Notes Data to Identify Dementia Severity Using a Rule-Based Approach: Feasibility Study

Ravi Prakash, Matthew E Dupre, Truls Østbye, Hanzhang Xu

JMIR Aging 2024 (Sep 24); 7:e57926

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Using Large Language Models to Detect Depression From User-Generated Diary Text Data as a Novel Approach in Digital Mental Health Screening: Instrument Validation Study

Daun Shin, Hyoseung Kim, Seunghwan Lee, Younhee Cho, Whanbo Jung

J Med Internet Res 2024 (Sep 18); 26:e54617

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Detection of Mild Cognitive Impairment From Non-Semantic, Acoustic Voice Features: The Framingham Heart Study

Huitong Ding, Adrian Lister, Cody Karjadi, Rhoda Au, Honghuang Lin, Brian Bischoff, Phillip H Hwang

JMIR Aging 2024 (Aug 22); 7:e55126

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Machine Learning, Deep Learning, and Data Preprocessing Techniques for Detecting, Predicting, and Monitoring Stress and Stress-Related Mental Disorders: Scoping Review

Moein Razavi, Samira Ziyadidegan, Ahmadreza Mahmoudzadeh, Saber Kazeminasab, Elaheh Baharlouei, Vahid Janfaza, Reza Jahromi, Farzan Sasangohar

JMIR Ment Health 2024 (Aug 21); 11:e53714

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The Dual Task Ball Balancing Test and Its Association With Cognitive Function: Algorithm Development and Validation

Barry Greene, Sean Tobyne, Ali Jannati, Killian McManus, Joyce Gomes Osman, Russell Banks, Ranjit Kher, John Showalter, David Bates, Alvaro Pascual-Leone

J Med Internet Res 2024 (Aug 19); 26:e49794

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Characterization of Psychopathology in Latin American Adolescents Using a Web-Based Screening Tool: Cross-Sectional Study

Susana Campos, Daniel Nuñez, J Carola Pérez, Jo Robinson

JMIR Form Res 2024 (Aug 08); 8:e57038

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Beyond Step Count: Are We Ready to Use Digital Phenotyping to Make Actionable Individual Predictions in Psychiatry?

Abigail Ortiz, Benoit H Mulsant

J Med Internet Res 2024 (Aug 05); 26:e59826

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Use of Machine Learning Models to Differentiate Neurodevelopment Conditions Through Digitally Collected Data: Cross-Sectional Questionnaire Study

Silvia Grazioli, Alessandro Crippa, Noemi Buo, Silvia Busti Ceccarelli, Massimo Molteni, Maria Nobile, Antonio Salandi, Sara Trabattoni, Gabriele Caselli, Paola Colombo

JMIR Form Res 2024 (Jul 29); 8:e54577

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Extended Reality for Mental Health Evaluation: Scoping Review

Olatunji Mumini Omisore, Ifeanyi Odenigbo, Joseph Orji, Amelia Itzel Hernandez Beltran, Sandra Meier, Nilufar Baghaei, Rita Orji

JMIR Serious Games 2024 (Jul 24); 12:e38413

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Development of Depression Data Sets and a Language Model for Depression Detection: Mixed Methods Study

Faye Beatriz Tumaliuan, Lorelie Grepo, Eugene Rex Jalao

JMIR Data 2024 (Sep 04); 3:e53365

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