Last Posted: Feb 04, 2020
- First genomic study of schizophrenia in African people turns up broken genes
Nature News, February 3, 2020 - Identifying schizophrenia patients who carry pathogenic genetic copy number variants using standard clinical assessment: retrospective cohort study.
Foley Claire et al. The British journal of psychiatry : the journal of mental science 2020 Jan 1-5 - Reproducible Genetic Risk Loci for Anxiety: Results From ∼200,000 Participants in the Million Veteran Program.
Levey Daniel F et al. The American journal of psychiatry 2020 Jan appiajp201919030256 - Using Machine Learning in Psychiatry: The Need to Establish a Framework That Nurtures Trustworthiness.
Chandler Chelsea et al. Schizophrenia bulletin 2020 Jan 46(1) 11-14 - Prediction of individual responses to electroconvulsive therapy in patients with schizophrenia: Machine learning analysis of resting-state electroencephalography.
Min Beomjun et al. Schizophrenia research 2019 Dec - Identifying undetected dementia in UK primary care patients: a retrospective case-control study comparing machine-learning and standard epidemiological approaches.
Ford Elizabeth et al. BMC medical informatics and decision making 2019 Dec 19(1) 248 - Psychotic disorders hospitalizations associated with cannabis abuse or dependence: A nationwide big data analysis.
Gonçalves-Pinho Manuel et al. International journal of methods in psychiatric research 2019 Dec e1813 - A year in genetics.
et al. Nature genetics 2019 Dec 51(12) 1661 - Polygenic Risk Score Contribution to Psychosis Prediction in a Target Population of Persons at Clinical High Risk.
Perkins Diana O et al. The American journal of psychiatry 2019 Nov appiajp201918060721 - Increased schizophrenia family history burden and reduced premorbid IQ in treatment-resistant schizophrenia: a Swedish National Register and Genomic Study
K Kowalek et al, Molecular Psychiatry, November 12, 2019
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