The Early Psychosis Screener (EPS): Quantitative validation against the SIPS using machine learning

Machine learning techniques were used to identify highly informative early psychosis self-report items and to validate an early psychosis screener (EPS) against the Structured Interview for Psychosis-risk Syndromes (SIPS). The Prodromal Questionnaire –Brief Version (PQ-B) and 148 additional items were administered to 229 individuals being screened with the SIPS at 7 North American Prodrome Longitudinal Study sites and at Columbia University. Fifty individuals were found to have SIPS scores of 0, 1, or 2, making them clinically low risk (CLR) c ontrols; 144 were classified as clinically high risk (CHR) (SIPS 3–5) and 35 were found to have first episode psychosis (FEP) (SIPS 6).

Source: Schizophrenia Research - January 19, 2018 Category: Psychiatry Authors: B.B. Brodey, R.R. Girgis, O.V. Favorov, J. Addington, D.O. Perkins, C.E. Bearden, S.W. Woods, E.F. Walker, B.A. Cornblatt, G. Brucato, B. Walsh, K.A. Elkin, I.S. Brodey Source Type: research