Classification of suicide attempters in schizophrenia using sociocultural and clinical features: A machine learning approach.

Abstract

OBJECTIVE Suicide is a major concern for those afflicted by schizophrenia. Identifying patients at the highest risk for future suicide attempts remains a complex problem for psychiatric interventions. Machine learning models allow for the integration of many risk factors in order to build an algorithm that predicts which patients are likely to attempt… (More)
DOI: 10.1016/j.genhosppsych.2017.03.001

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Cite this paper

@article{Hettige2017ClassificationOS, title={Classification of suicide attempters in schizophrenia using sociocultural and clinical features: A machine learning approach.}, author={Nuwan C. Hettige and Thai Binh Nguyen and Chen Yuan and Thanara Rajakulendran and Jermeen Baddour and Nikhil Bhagwat and Ali Bani-Fatemi and Aristotle N. Voineskos and M. Mallar Chakravarty and Vincenzo De Luca}, journal={General hospital psychiatry}, year={2017}, volume={47}, pages={20-28} }