Using Machine Learning in Social Data Analysis

April 20, 2022 / Melody Smith / Comments Off on Using Machine Learning in Social Data Analysis

Johns Hopkins University researchers have developed a machine learning algorithm that uses predictive analytics to identify adolescents experiencing suicidal thoughts and behavior. Health IT Analytics brought this interesting topic to our attention in their article, “Machine Learning Uses Predictive Analytics For Suicide Prevention.”

Researchers discovered specific risk factors associated with suicidal thought and behavior among adolescents, helping to improve suicide prevention efforts. Few studies have examined these risk factors in combination with each other, especially in a large adolescent population.

Machine learning analysis of social media data is one promising way to capture longitudinal environmental influences contributing to individual risk for suicidal thoughts and behaviors. It can literally save lives.

Data Harmony is Access Innovations’s artificial intelligence (AI) suite of tools that leverage explainable AI for efficient, innovative and precise semantic discovery of new and emerging concepts. By analyzing your content and identifying concepts and terms, Data Harmony can organize and suggest a semantic model to increase the precision and recall of your search. 

Melody K. Smith

Sponsored by Access Innovations, changing search to found.

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Melody Smith

Melody K. Smith has provided organizational, social media and digital communication services to a large non-profit for the past twenty years. Prior to that she championed employee engagement and communications in the healthcare field. She holds a Bachelors degree in Marketing. When not wrangling and writing TaxoDiary content for your reading pleasure, Melody writes fiction, rescues dogs and throws legendary dinner parties.