Predicting Conversion to Psychosis Using Machine Learning: Are We There Yet?

Are We There Yet? Predicting Conversion to Psychosis Using Machine Learning

(2023) Jason Smucny et al.   AMERICAN JOURNAL OF PSYCHIATRY

Improving prediction of psychosis in youth at clinical high-risk: pre-baseline symptom duration and cortical thinning as moderators of the NAPLS2 risk calculator

(2023) Michelle A. Worthington et al.   PSYCHOLOGICAL MEDICINE

Accelerated cortical thinning precedes and predicts conversion to psychosis: The NAPLS3 longitudinal study of youth at clinical high-risk

(2022) Meghan A. Collins et al.   MOLECULAR PSYCHIATRY

Toward Generalizable and Transdiagnostic Tools for Psychosis Prediction: An Independent Validation and Improvement of the NAPLS-2 Risk Calculator in the Multisite PRONIA Cohort

(2021) Nikolaos Koutsouleris et al.   BIOLOGICAL PSYCHIATRY

Prediction and Prevention in the Clinical High-Risk for Psychosis Paradigm: A Review of the Current Status and Recommendations for Future Directions of Inquiry

(2021) Michelle A. Worthington et al.   Frontiers in Psychiatry

North American Prodrome Longitudinal Study (NAPLS 3): Methods and baseline description

(2020) Jean Addington et al.   SCHIZOPHRENIA RESEARCH

An empirical overview of nonlinearity and overfitting in machine learning using COVID-19 data

(2020) Yaohao Peng et al.   CHAOS SOLITONS & FRACTALS

An Individualized Risk Calculator for Research in Prodromal Psychosis

(2016) Tyrone D. Cannon et al.   AMERICAN JOURNAL OF PSYCHIATRY