Use of Machine Learning for Predicting Escitalopram Treatment Outcome From Electroencephalography Recordings in Adult Patients With Depression
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DOI: 10.1001/jamanetworkopen.2019.18377
Abstract: This prognostic study of patients with major depressive disorder estimates how accurately an outcome of escitalopram treatment can be predicted from electroencephalographic data. read more here.
Keywords: machine learning; learning predicting; predicting escitalopram; treatment ... See more keywords
A critical evaluation of QIDS-SR-16 using data from a trial of psilocybin therapy versus escitalopram treatment for depression.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of psychopharmacology"
DOI: 10.1177/02698811231167848
Abstract: BACKGROUND In a recent clinical trial examining the comparative efficacy of psilocybin therapy (PT) versus escitalopram treatment (ET) for major depressive disorder, 14 of 16 major efficacy outcome measures yielded results that favored PT, but… read more here.
Keywords: therapy versus; versus escitalopram; depression; trial ... See more keywords