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A machine learning algorithm to differentiate bipolar disorder from major depressive disorder using an online mental health questionnaire and blood biomarker data
Translational psychiatry, 2021-01, Vol.11 (1), p.41-41, Article 41
2021
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Impact of a Web-Based Psychiatric Assessment on the Mental Health and Well-Being of Individuals Presenting With Depressive Symptoms: Longitudinal Observational Study
JMIR mental health, 2021-02, Vol.8 (2), p.e23813-e23813
2021
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Personality, symptom, and demographic correlates of perceived efficacy of selective serotonin reuptake inhibitor monotherapy among current users with low mood: A data-driven approach
Journal of affective disorders, 2021-12, Vol.295, p.1122-1130
2021
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Integrating proteomic, sociodemographic and clinical data to predict future depression diagnosis in subthreshold symptomatic individuals
Translational psychiatry, 2019-11, Vol.9 (1), p.277-11, Article 277
2019
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Multimodel inference for biomarker development: an application to schizophrenia
Translational psychiatry, 2019-02, Vol.9 (1), p.83-83, Article 83
2019
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A Combined Digital and Biomarker Diagnostic Aid for Mood Disorders (the Delta Trial): Protocol for an Observational Study
JMIR research protocols, 2020-08, Vol.9 (8), p.e18453-e18453
2020
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The Delta Study – Prevalence and characteristics of mood disorders in 924 individuals with low mood: Results of the of the World Health Organization Composite International Diagnostic Interview (CIDI)
Brain and behavior, 2021-06, Vol.11 (6), p.e02167-n/a
2021
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Toward an Extended Definition of Major Depressive Disorder Symptomatology: Digital Assessment and Cross-validation Study
JMIR formative research, 2021-10, Vol.5 (10), p.e27908-e27908
2021
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Proteomic approaches to identify blood-based biomarkers for depression and bipolar disorders
Expert review of proteomics, 2018-04, Vol.15 (4), p.325-340
2018
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Diagnostic prediction model development using data from dried blood spot proteomics and a digital mental health assessment to identify major depressive disorder among individuals presenting with low mood
Brain, behavior, and immunity, 2020-11, Vol.90, p.184-195
2020
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GWA meta-analysis of personality in Korean cohorts
Journal of human genetics, 2015-08, Vol.60 (8), p.455-460
2015
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Relationships between Dietary Habits and Allostatic Load Index in Metabolic Syndrome Patients
Korean Journal of Family Medicine, 2013, 34(5), , pp.334-346
2013
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Relationships between Dietary Habits and Allostatic Load Index in Metabolic Syndrome Patients
Korean Journal of Family Medicine, 2013, 34(6), , pp.437-437
2013
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