At-home, telehealth-supported ketamine treatment for depression: Findings from longitudinal, machine learning and symptom network analysis of real-world data.
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| Title: | At-home, telehealth-supported ketamine treatment for depression: Findings from longitudinal, machine learning and symptom network analysis of real-world data. |
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| Authors: | Mathai DS; The Johns Hopkins University School of Medicine, Center for Psychedelic and Consciousness Research, Department of Psychiatry and Behavioral Sciences, Baltimore, MD, United States of America; Sattva Medicine - Psychiatry/Psychotherapy Practice, Miami, FL, United States of America., Hull TD; Institute for Psycholinguistics and Digital Health, United States of America., Vando L; Mindbloom, Orlando, FL, United States of America., Malgaroli M; NYU Grossman School of Medicine, Department of Psychiatry, New York, NY, United States of America. Electronic address: matteo.malgaroli@nyulangone.org. |
| Source: | Journal of affective disorders [J Affect Disord] 2024 Sep 15; Vol. 361, pp. 198-208. Date of Electronic Publication: 2024 May 27. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Netherlands NLM ID: 7906073 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-2517 (Electronic) Linking ISSN: 01650327 NLM ISO Abbreviation: J Affect Disord Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1573-2517 |
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| DOI: | 10.1016/j.jad.2024.05.131 |
