Computational models of eye movements and their application to schizophrenia

doi:10.1016/j.cobeha.2016.03.008

Paper

Computational models of eye movements and their application to schizophrenia

Published Oct 1, 2016 · J. Heinzle, Eduardo A. Aponte, K. Stephan

Current Opinion in Behavioral Sciences

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Abstract

Abstract removed due to Elsevier request; this does not indicate any issues with the research. Click the full text link above to read the abstract and view the original source.

Study Snapshot

Key takeawayGenerative models of eye movements can help translate group-level findings into clinically useful tests for individual patients with schizophrenia.

PopulationOlder adults (50-71 years)

Sample size24

MethodsObservational

OutcomesBody Mass Index projections

ResultsSocial networks mitigate obesity in older groups.

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Computational models of eye movements and their application to schizophrenia

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References

Citations

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Discriminative eye movement features and model-metric based features effectively improve schizophrenia recognition using support vector machine and random forest classifiers.

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