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] |
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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 Review. Journal of Medical Internet Research 2023; 25: e45540 doi: 10.2196/45540
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2 |
Jaeeun Shin, Sung Man Bae. A Systematic Review of Location Data for Depression Prediction. International Journal of Environmental Research and Public Health 2023; 20(11): 5984 doi: 10.3390/ijerph20115984
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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 study. International Review of Psychiatry 2022; 34(7-8): 809 doi: 10.1080/09540261.2022.2118521
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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 analysis. Frontiers in Psychiatry 2024; 15 doi: 10.3389/fpsyt.2024.1300739
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5 |
Xiao-Jie Cao, Xin-Qiao Liu. Artificial intelligence-assisted psychosis risk screening in adolescents: Practices and challenges. World Journal of Psychiatry 2022; 12(10): 1287-1297 doi: 10.5498/wjp.v12.i10.1287
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6 |
Gayathri De Lanerolle, Peter Phiri, Athar Haroon. Clinical Trials and Tribulations. 2023; : 111 doi: 10.1016/B978-0-12-821787-0.00012-X
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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 antidepressants. Frontiers in Psychiatry 2023; 14 doi: 10.3389/fpsyt.2023.1135828
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8 |
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 technologies. Journal of Occupational Health 2024; 66(1) doi: 10.1093/joccuh/uiad003
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9 |
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 (IDEA-RiSCo) Longitudinal Assessments. JAACAP Open 2023; doi: 10.1016/j.jaacop.2023.11.002
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10 |
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
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11 |
Rémy Potier. Revue critique sur le potentiel du numérique dans la recherche en psychopathologie : un point de vue psychanalytique. L'Évolution Psychiatrique 2022; 87(4): 729 doi: 10.1016/j.evopsy.2022.09.001
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12 |
Yuan Zhou, Xu Chen, Ruolei Gu, Yu-tao Xiang, Greg Hajcak, Gang Wang. Personalized identification and intervention of depression in adolescents: A tertiary-level framework. Science Bulletin 2024; doi: 10.1016/j.scib.2024.01.024
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13 |
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 agents. World Psychiatry 2023; 22(1): 48 doi: 10.1002/wps.21056
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14 |
Soumya Choudhary, Girish Srinivasan. The Importance of Using Binary Classification Models in Predicting Depression from a Machine Learning Perspective. Digital Medicine and Healthcare Technology 2022; 2022: 1 doi: 10.5772/dmht.12
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15 |
Victor Okoye, Godwin Okoye, Daniel Appiah. Harnessing Digital Health Solutions to Enhance Medication Adherence in Patients With Depression. Innovations in Digital Health, Diagnostics, and Biomarkers 2024; 4(2024): 9 doi: 10.36401/IDDB-23-13
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16 |
Jonathan Flint. The genetic basis of major depressive disorder. Molecular Psychiatry 2023; 28(6): 2254 doi: 10.1038/s41380-023-01957-9
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