PALO ALTO, CA -- (Marketwired) -- 09/25/13 --
Cloudera, the leader in enterprise analytic data management powered by Apache Hadoop™, today announced that Patterns and Predictions, a predictive analytics company, partnered with Cloudera for an ongoing initiative applying machine learning to the identification of key correlations between military veterans' communications and suicide risk. The Durkheim Project, as it is called, entails opt-in monitoring across a variety of online and mobile data channels to predict which military veterans are at the highest risk of suicide. It is powered by a real-time risk detection framework co-developed with Cloudera and built on CDH (Cloudera's Distribution Including Apache Hadoop), Cloudera Impala and Cloudera Search.
"The promise of the Durkheim Project is expressed in its ability to collect, monitor and deliver insights from a diverse repository of complex data, including mobile and social media signals, with the hope of eventually providing real-time triage of interventional actions upon detection of a critical event," said Patterns and Predictions founder Chris Poulin. "Cloudera's unique software and expertise enable us to make risk assessments faster and across larger data sets, resulting in better clinical outcomes."
Applied Machine Learning Identifies and Predicts Mental Health Risk Factors
Patterns and Predictions' founder Chris Poulin began working with Dartmouth researchers in 2010 to address the problem of high suicide rates among veterans. Suicide rates among U.S. veterans are approximately twice that of the general population, a challenging phenomenon facing the U.S. Department of Veterans Affairs (VA).
With support from the Defense Advanced Research Project Agency (DARPA), a research arm of the Department of Defense (DoD), and Dartmouth College, the suicide risk prediction project includes a database of more than 100,000 U.S. veterans, all of whom have volunteered their participation. By mining these veterans' social media posts and other indicators, Patterns and Predictions -- together with a team of experts in artificial intelligence, medical professionals from private companies, and the U.S. Department of Veterans Affairs (VA) -- developed a set of predictive indicators of suicide risks for military veterans.