Development Of A Behavioral Health Stigma Measure And Application Of Machine Learning For Classification

Conclusion: This study illustrates the potential for applying machine learning to derive a data-driven understanding of the extent to which stigma is prevalent in society. It establishes a framework for the development of an index to track stigma over time and to assist healthcare decision-makers with improving the health of populations and the experience of care for patients. … Read the original article. The post Development Of A Behavioral Health Stigma Measure And Application Of Machine Learning For Classification appeared first on Innovations in Clinical Neuroscience.
Source: Innovations in Clinical Neuroscience - Category: Neuroscience Tags: Adverse Events in Psychiatry Brief Report Source Type: research