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While a reliable method to accurately identify suicidal patients is missing from medical literature, researchers are continually striving for AI-solutions to predict and prevent suicidal attempts. Suicide is cited as the 10th leading cause of death and is one of three leading causes on the rise, according to the Centers for Disease Control and Prevention (CDC). AI tools are diligently being deployed to address the rising suicide risk. Machine Learning for Identifying Suicidal Thoughts In a recent research, researchers from Vanderbilt University applied machine learning (ML) to overcome the limitations of traditional methods that predict suicide attempts by looking into the electronic health records of adult patients. The outcomes showedRead More →

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Twitter is a dynamic world that works in a confined space of 140 characters but the impact it can have on an audience is huge. Just like fake news, fake followers can be detrimental to the image of businesses and even to those individual users who rely heavily on social media marketing. Since Twitter places significant constraints on the type of communication that is possible, it becomes easier for bots to reconstruct the human behavior that is demonstrated in the limited Twitter dimension. Hence, results that we obtain in the form of social media metrics can often get skewed. So why is the detection ofRead More →