Last Posted: May 14, 2020
- Dynamic ElecTronic hEalth reCord deTection (DETECT) of individuals at risk of a first episode of psychosis: a case-control development and validation study
LL Raket et al, The Lancet Digital Health, May 2020 - Predicting the first episode of psychosis
H Stower, Nature Medicine, May 13, 2020 - Factors and predictors of length of stay in offenders diagnosed with schizophrenia - a machine-learning-based approach.
Kirchebner Johannes et al. BMC psychiatry 2020 May 20(1) 201 - CalPen (Calculator of Penetrance), a web-based tool to estimate penetrance in complex genetic disorders.
Addepalli Aditya et al. PloS one 2020 15(1) e0228156 - Development and Validation of a Machine Learning Individualized Treatment Rule in First-Episode Schizophrenia.
Wu Chi-Shin et al. JAMA network open 2020 Feb 3(2) e1921660 - Identification of serum microRNAs as diagnostic biomarkers for schizophrenia.
He Kuanjun et al. Hereditas 2019 15623 - 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
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