Detecting depression using a framework combining deep multimodal neural networks with a purpose-built automated evaluation.
Sign Up to like & getrecommendations! Published in 2019 at "Psychological assessment"
DOI: 10.1037/pas0000724
Abstract: Machine learning (ML) has been introduced into the medical field as a means to provide diagnostic tools capable of enhancing accuracy and precision while minimizing laborious tasks that require human intervention. There is mounting evidence… read more here.
Keywords: framework; depression using; evaluation; detecting depression ... See more keywords
Studying treatment resistance in depression using patient derived neurons in vitro
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DOI: 10.1038/s41380-019-0424-2
Abstract: Fig. 1 Stylized artistic images of forebrain neurons derived from iPSCs of antidepressant (SSRI) resistant depressed patients. Neurons from SSRI-resistant patients display differential activity in response to serotonin, downstream of key excitatory serotonergic receptors, highlighting… read more here.
Keywords: studying treatment; depression using; treatment resistance; resistance ... See more keywords
Prediction model for potential depression using sex and age-reflected quantitative EEG biomarkers
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Psychiatry"
DOI: 10.3389/fpsyt.2022.913890
Abstract: Depression is a prevalent mental disorder in modern society, causing many people to suffer or even commit suicide. Psychiatrists and psychologists typically diagnose depression using representative tests, such as the Beck’s Depression Inventory (BDI) and… read more here.
Keywords: depression using; potential depression; depression; sex age ... See more keywords