This paper is in the following e-collection/theme issue:

Non-randomized Protocols and Methods (ehealth) (571) Depression and Mood Disorders; Suicide Prevention (1385) Methods and New Tools in Mental Health Research (461)

Published on in Vol 11, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36417, first published .
Multimodal Assessment of Schizophrenia and Depression Utilizing Video, Acoustic, Locomotor, Electroencephalographic, and Heart Rate Technology: Protocol for an Observational Study

Multimodal Assessment of Schizophrenia and Depression Utilizing Video, Acoustic, Locomotor, Electroencephalographic, and Heart Rate Technology: Protocol for an Observational Study

Multimodal Assessment of Schizophrenia and Depression Utilizing Video, Acoustic, Locomotor, Electroencephalographic, and Heart Rate Technology: Protocol for an Observational Study

Authors of this article:

Robert O Cotes1 Author Orcid Image ;   Mina Boazak2 Author Orcid Image ;   Emily Griner1 Author Orcid Image ;   Zifan Jiang3, 4 Author Orcid Image ;   Bona Kim5 Author Orcid Image ;   Whitney Bremer3 Author Orcid Image ;   Salman Seyedi3 Author Orcid Image ;   Ali Bahrami Rad3 Author Orcid Image ;   Gari D Clifford3, 4 Author Orcid Image
Article Authors Cited by (10) Tweetations (2) Metrics

Journals

  1. Corbin L, Griner E, Seyedi S, Jiang Z, Roberts K, Boazak M, Bahrami Rad A, Clifford G, Cotes R. A comparison of linguistic patterns between individuals with current major depressive disorder, past major depressive disorder, and controls in a virtual, psychiatric research interview. Journal of Affective Disorders Reports 2023;14:100645 View
  2. Seyedi S, Griner E, Corbin L, Jiang Z, Roberts K, Iacobelli L, Milloy A, Boazak M, Bahrami Rad A, Abbasi A, Cotes R, Clifford G. Using HIPAA (Health Insurance Portability and Accountability Act)–Compliant Transcription Services for Virtual Psychiatric Interviews: Pilot Comparison Study. JMIR Mental Health 2023;10:e48517 View
  3. 谢 丽. A Review of Diagnostic Methods and Related Interventions for Depression. Advances in Social Sciences 2024;13(01):1 View
  4. Sapkota D, Dennison S, Thompson C. Mental Disorders Among Mothers in Contact with the Criminal Justice System: A Scoping Review and Meta-analysis. Community Mental Health Journal 2024;60(4):699 View
  5. Jiang Z, Seyedi S, Griner E, Abbasi A, Rad A, Kwon H, Cotes R, Clifford G. Multimodal Mental Health Digital Biomarker Analysis From Remote Interviews Using Facial, Vocal, Linguistic, and Cardiovascular Patterns. IEEE Journal of Biomedical and Health Informatics 2024;28(3):1680 View
  6. Książek K, Masarczyk W, Głomb P, Romaszewski M, Stokłosa I, Ścisło P, Dębski P, Pudlo R, Buza K, Gorczyca P, Piegza M. Assessment of symptom severity in psychotic disorder patients based on heart rate variability and accelerometer mobility data. Computers in Biology and Medicine 2024;176:108544 View
  7. Hou H, Liu I, Kong F, Ni S. Computational positive psychology: advancing the science of wellbeing in the digital era. The Journal of Positive Psychology 2024:1 View
  8. Jiang Z, Seyedi S, Griner E, Abbasi A, Rad A, Kwon H, Cotes R, Clifford G, McGinnis R. Evaluating and mitigating unfairness in multimodal remote mental health assessments. PLOS Digital Health 2024;3(7):e0000413 View
  9. Qin R, Cook R, Yang K, Abbasi A, Dobolyi D, Seyedi S, Griner E, Kwon H, Cotes R, Jiang Z, Clifford G. Language Models for Online Depression Detection: A Review and Benchmark Analysis on Remote Interviews. ACM Transactions on Management Information Systems 2024 View
  10. Hinduja S, Darzi A, Ertugrul I, Provenza N, Gadot R, Storch E, Sheth S, Goodman W, Cohn J. Multimodal Prediction of Obsessive-Compulsive Disorder and Comorbid Depression Severity and Energy Delivered by Deep Brain Electrodes. IEEE Transactions on Affective Computing 2024;15(4):2025 View