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For: Kamath J, Leon Barriera R, Jain N, Keisari E, Wang B. Digital phenotyping in depression diagnostics: Integrating psychiatric and engineering perspectives. World J Psychiatry 2022; 12(3): 393-409 [PMID: 35433319 DOI: 10.5498/wjp.v12.i3.393]
URL: https://www.wjgnet.com/2220-3206/full/v12/i3/393.htm
Number Citing Articles
1
Laura Marciano, Emanuela Vocaj, Mesfin A Bekalu, Antonino La Tona, Giulia Rocchi, Kasisomayajula Viswanath. The Use of Mobile Assessments for Monitoring Mental Health in Youth: Umbrella ReviewJournal of Medical Internet Research 2023; 25: e45540 doi: 10.2196/45540
2
Jaeeun Shin, Sung Man Bae. A Systematic Review of Location Data for Depression PredictionInternational Journal of Environmental Research and Public Health 2023; 20(11): 5984 doi: 10.3390/ijerph20115984
3
Laura Orsolini, Cristina Appignanesi, Simone Pompili, Umberto Volpe. The role of digital tools in providing youth mental health: results from an international multi-center studyInternational Review of Psychiatry 2022; 34(7-8): 809 doi: 10.1080/09540261.2022.2118521
4
Hongfan Yin, Hanjing Zhu, Jia Gu, Hengwei Qin, Wenjing Ding, Ningyuan Guo, Jingjing Fu, Yan Yang. Mobile-based ecological momentary assessment and intervention: bibliometric analysisFrontiers in Psychiatry 2024; 15 doi: 10.3389/fpsyt.2024.1300739
5
Andy Davies, Eiko Fried, Omar Costilla-Reyes, Hane Aung. Pervasive Computing Technologies for HealthcareLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2024; 572: 18 doi: 10.1007/978-3-031-59717-6_2
6
Gayathri De Lanerolle, Peter Phiri, Athar Haroon. Clinical Trials and Tribulations2023; : 111 doi: 10.1016/B978-0-12-821787-0.00012-X
7
Christian Yavorsky, Elizabeth Ballard, Mark Opler, Jan Sedway, Steven D. Targum, William Lenderking. Recommendations for selection and adaptation of rating scales for clinical studies of rapid-acting antidepressantsFrontiers in Psychiatry 2023; 14 doi: 10.3389/fpsyt.2023.1135828
8
Jader Piccin, Anna Viduani, Claudia Buchweitz, Rivka B. Pereira, Aline Zimerman, Guilherme R. Amando, Victor Cosenza, Leonardo Z. Ferreira, Natália A.G. McMahon, Ramásio F. Melo, Danyella Richter, Frederico D.S. Reckziegel, Fernanda Rohrsetzer, Laila Souza, André C. Tonon, Marina Tuerlinckx Costa-Valle, Zuzanna Zajkowska, Ricardo Matsumura Araújo, Tobias U. Hauser, Alastair van Heerden, Maria Paz Hidalgo, Brandon A. Kohrt, Valeria Mondelli, Johnna R. Swartz, Helen L. Fisher, Christian Kieling. Prospective Follow-Up of Adolescents With and at Risk for Depression: Protocol and Methods of the Identifying Depression Early in Adolescence Risk Stratified Cohort Longitudinal AssessmentsJAACAP Open 2024; 2(2): 145 doi: 10.1016/j.jaacop.2023.11.002
9
Rémy Potier. Revue critique sur le potentiel du numérique dans la recherche en psychopathologie : un point de vue psychanalytiqueL'Évolution Psychiatrique 2022; 87(4): 729 doi: 10.1016/j.evopsy.2022.09.001
10
Sunmi Song, YoungBin Seo, SeoYeon Hwang, Hae-Young Kim, Junesun Kim. Digital Phenotyping of Geriatric Depression Using a Community-Based Digital Mental Health Monitoring Platform for Socially Vulnerable Older Adults and Their Community Caregivers: 6-Week Living Lab Single-Arm Pilot StudyJMIR mHealth and uHealth 2024; 12: e55842 doi: 10.2196/55842
11
Daun Shin, Hyoseung Kim, Seunghwan Lee, Younhee Cho, Whanbo Jung. Using Large Language Models to Detect Depression From User-Generated Diary Text Data as a Novel Approach in Digital Mental Health Screening: Instrument Validation StudyJournal of Medical Internet Research 2024; 26: e54617 doi: 10.2196/54617
12
Carsten Langholm, Scott Breitinger, Lucy Gray, Fernando Goes, Alex Walker, Ashley Xiong, Cindy Stopel, Peter P. Zandi, Mark A. Frye, John Torous. Using data processing to understand inconsistency in smartphone behavior among patients with serious mental illness: Results of a digital phenotyping biomarker studyBiomarkers in Neuropsychiatry 2024; 11: 100105 doi: 10.1016/j.bionps.2024.100105
13
Moonyoung Jang, Youngeun Cho, Do Hyung Kim, Sunghyun Park, Seonghyeon Park, Ji-Won Hur, Minah Kim, Kwangsu Cho, Chang-Gun Lee, Jun Soo Kwon. Associations between keystroke and stylus metadata and depressive symptoms in adolescentsPsychological Medicine 2024; 54(11): 3109 doi: 10.1017/S0033291724001260
14
Chul-Hyun Cho, Heon-Jeong Lee, Yong-Ku Kim. Recent Advances and Challenges in the Treatment of Major Depressive DisorderAdvances in Experimental Medicine and Biology 2024; 1456: 307 doi: 10.1007/978-981-97-4402-2_16
15
Jonathan Flint. The genetic basis of major depressive disorderMolecular Psychiatry 2023; 28(6): 2254 doi: 10.1038/s41380-023-01957-9
16
Xiao-Jie Cao, Xin-Qiao Liu. Artificial intelligence-assisted psychosis risk screening in adolescents: Practices and challengesWorld Journal of Psychiatry 2022; 12(10): 1287-1297 doi: 10.5498/wjp.v12.i10.1287
17
Atousa Hatami, Arian Ranjbar, Shahla Azizi. Utilizing fMRI and Deep Learning for the Detection of Major Depressive Disorder: A MobileNet V2 Approach2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) 2024; : 1 doi: 10.1109/HORA61326.2024.10550687
18
Naomichi Tani, Hiroaki Fujihara, Kenji Ishii, Yoshiyuki Kamakura, Mafu Tsunemi, Chikae Yamaguchi, Hisashi Eguchi, Kotaro Imamura, Satoru Kanamori, Noriko Kojimahara, Takeshi Ebara. What digital health technology types are used in mental health prevention and intervention? Review of systematic reviews for systematization of technologiesJournal of Occupational Health 2024; 66(1) doi: 10.1093/joccuh/uiad003
19
Mücahit Gültekin, Meryem Şahin. The use of artificial intelligence in mental health services in Turkey: What do mental health professionals think? Cyberpsychology: Journal of Psychosocial Research on Cyberspace 2024; 18(1) doi: 10.5817/CP2024-1-6
20
Yuan Zhou, Xu Chen, Ruolei Gu, Yu-tao Xiang, Greg Hajcak, Gang Wang. Personalized identification and intervention of depression in adolescents: A tertiary-level frameworkScience Bulletin 2024; 69(7): 867 doi: 10.1016/j.scib.2024.01.024
21
Christoph U. Correll, Marco Solmi, Samuele Cortese, Maurizio Fava, Mikkel Højlund, Helena C. Kraemer, Roger S. McIntyre, Daniel S. Pine, Lon S. Schneider, John M. Kane. The future of psychopharmacology: a critical appraisal of ongoing phase 2/3 trials, and of some current trends aiming to de‐risk trial programmes of novel agentsWorld Psychiatry 2023; 22(1): 48 doi: 10.1002/wps.21056
22
Carolin Zierer, Corinna Behrendt, Anja Christina Lepach-Engelhardt. Digital biomarkers in depression: A systematic review and call for standardization and harmonization of feature engineeringJournal of Affective Disorders 2024; 356: 438 doi: 10.1016/j.jad.2024.03.163
23
Soumya Choudhary, Girish Srinivasan. The Importance of Using Binary Classification Models in Predicting Depression from a Machine Learning PerspectiveDigital Medicine and Healthcare Technology 2022; 2022: 1 doi: 10.5772/dmht.12
24
Victor Okoye, Godwin Okoye, Daniel Appiah. Harnessing Digital Health Solutions to Enhance Medication Adherence in Patients With DepressionInnovations in Digital Health, Diagnostics, and Biomarkers 2024; 4(2024): 9 doi: 10.36401/IDDB-23-13
25
Wentao Wang, Dan Wang, Di Zhao, Lihong Xu, Shujun Jiang, Yu Zhang, Minghu Cui, Jing Liu, Fantao Meng, Cuilan Liu, Dunjiang Liu, Wei Li, Chen Li. Dorsal raphe dopaminergic neurons target CaMKII+ neurons in dorsal bed nucleus of the stria terminalis for mediating depression-related behaviorsTranslational Psychiatry 2024; 14(1) doi: 10.1038/s41398-024-03093-6
26
Jaeeun Shin, Sung Man Bae. Use of voice features from smartphones for monitoring depressive disorders: Scoping reviewDIGITAL HEALTH 2024; 10 doi: 10.1177/20552076241261920
27
Young Tak Jo, Sang Won Lee, Sungkyu Park, Jungsun Lee. Association between heart rate variability metrics from a smartwatch and self-reported depression and anxiety symptoms: a four-week longitudinal studyFrontiers in Psychiatry 2024; 15 doi: 10.3389/fpsyt.2024.1371946