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Is It Ethical to Use Prognostic Estimates from Machine Learning to Treat Psychosis?

08:00 EDT 1st September 2018 | BioPortfolio

Summary of "Is It Ethical to Use Prognostic Estimates from Machine Learning to Treat Psychosis?"

Machine learning is a method for predicting clinically relevant variables, such as opportunities for early intervention, potential treatment response, prognosis, and health outcomes. This commentary examines the following ethical questions about machine learning in a case of a patient with new onset psychosis: (1) When is clinical innovation ethically acceptable? (2) How should clinicians communicate with patients about the ethical issues raised by a machine learning predictive model?

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Journal Details

This article was published in the following journal.

Name: AMA journal of ethics
ISSN: 2376-6980
Pages: E804-811

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A MACHINE LEARNING paradigm used to make predictions about future instances based on a given set of labeled paired input-output training (sample) data.

A MACHINE LEARNING paradigm used to make predictions about future instances based on a given set of unlabeled paired input-output training (sample) data.

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