Machine Learning Uses Predictive Analytics For Suicide Prevention (Erin McNemar, MPA, Health IT Analytics)

Johns Hopkins University researchers developed a machine-learning algorithm that uses predictive analytics to identify adolescents experiencing suicidal thoughts and behavior.

After decades of analysis, researchers discovered specific risk factors associated with suicidal thought and behavior among adolescents, helping to improve suicide prevention efforts. However, few studies have examined these risk factors in combination with each other, especially in a large adolescent population.

Machine Learning Uses Predictive Analytics For Suicide Prevention (healthitanalytics.com)

Marco Emanuele
Marco Emanuele è appassionato di cultura della complessità, cultura della tecnologia e relazioni internazionali. Approfondisce il pensiero di Hannah Arendt, Edgar Morin, Raimon Panikkar. Marco ha insegnato Evoluzione della Democrazia e Totalitarismi, è l’editor di The Global Eye e scrive per The Science of Where Magazine. Marco Emanuele is passionate about complexity culture, technology culture and international relations. He delves into the thought of Hannah Arendt, Edgar Morin, Raimon Panikkar. He has taught Evolution of Democracy and Totalitarianisms. Marco is editor of The Global Eye and writes for The Science of Where Magazine.

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