Use of Machine Learning for Predicting Escitalopram Treatment Outcome From Electroencephalography Recordings in Adult Patients With Depression

Andrey Zhdanov; Sravya Atluri; Willy Wong; Yasaman Vaghei; Zafiris J. Daskalakis; Daniel M. Blumberger; Benicio N. Frey; Peter Giacobbe; Raymond W. Lam; Roumen Milev; Daniel J. Mueller; Gustavo Turecki; Sagar V. Parikh; Susan Rotzinger; Claudio N. Soares; Colleen A. Brenner; Fidel Vila-Rodriguez; Mary Pat McAndrews; Killian Kleffner; Esther Alonso-Prieto; Stephen R. Arnott; Jane A. Foster; Stephen C. Strother; Rudolf Uher; Sidney H. Kennedy; Faranak Farzan

doi:10.1001/jamanetworkopen.2019.18377

Use of Machine Learning for Predicting Escitalopram Treatment Outcome From Electroencephalography Recordings in Adult Patients With Depression

Andrey Zhdanov, Sravya Atluri, Willy Wong, Yasaman Vaghei, Zafiris J. Daskalakis, Daniel M. Blumberger, Benicio N. Frey, Peter Giacobbe, Raymond W. Lam, Roumen Milev, Daniel J. Mueller, Gustavo Turecki, Sagar V. Parikh, Susan Rotzinger, Claudio N. Soares, Colleen A. Brenner, Fidel Vila-Rodriguez, Mary Pat McAndrews, Killian Kleffner, Esther Alonso-PrietoStephen R. Arnott, Jane A. Foster, Stephen C. Strother, Rudolf Uher, Sidney H. Kennedy, Faranak Farzan

Psychology

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	e1918377
Pages (from-to)	E1918377
Journal	JAMA Network Open
Volume	3
Issue number	1
DOIs	https://doi.org/10.1001/jamanetworkopen.2019.18377
State	Published - Jan 3 2020

ASJC Scopus Subject Areas

General Medicine

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Zhdanov, A., Atluri, S., Wong, W., Vaghei, Y., Daskalakis, Z. J., Blumberger, D. M., Frey, B. N., Giacobbe, P., Lam, R. W., Milev, R., Mueller, D. J., Turecki, G., Parikh, S. V., Rotzinger, S., Soares, C. N., Brenner, C. A., Vila-Rodriguez, F., McAndrews, M. P., Kleffner, K., ... Farzan, F. (2020). Use of Machine Learning for Predicting Escitalopram Treatment Outcome From Electroencephalography Recordings in Adult Patients With Depression. JAMA Network Open, 3(1), E1918377. Article e1918377. https://doi.org/10.1001/jamanetworkopen.2019.18377

Zhdanov, A, Atluri, S, Wong, W, Vaghei, Y, Daskalakis, ZJ, Blumberger, DM, Frey, BN, Giacobbe, P, Lam, RW, Milev, R, Mueller, DJ, Turecki, G, Parikh, SV, Rotzinger, S, Soares, CN, Brenner, CA, Vila-Rodriguez, F, McAndrews, MP, Kleffner, K, Alonso-Prieto, E, Arnott, SR, Foster, JA, Strother, SC, Uher, R, Kennedy, SH & Farzan, F 2020, 'Use of Machine Learning for Predicting Escitalopram Treatment Outcome From Electroencephalography Recordings in Adult Patients With Depression', JAMA Network Open, vol. 3, no. 1, e1918377, pp. E1918377. https://doi.org/10.1001/jamanetworkopen.2019.18377

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Use of Machine Learning for Predicting Escitalopram Treatment Outcome From Electroencephalography Recordings in Adult Patients With Depression

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