Patterns and Predictions, a predictive analytics company, has announced its Big Data initiative The Durkheim Project* - to predict suicide at scale using its machine learning data fabric
Patterns and Predictions is now providing technology enabling opt-in participation from more than 100,000 U.S. veterans to build a 'big' medical database that will help militarymental health experts fight a complex and challenging enemy: the alarming incidence of suicide among veterans.
Cited by a 2012 TIME Magazine cover story ("One A Day"), as a problem of epidemic proportions, suicide rates among veterans are roughly double those of adults in the general U.S. population. TIME also noted that military efforts have struggled to successfully address the suicide crisis due, in part, to a lack of understanding why nothing has worked to stop it.
Patterns and Predictions' founder Chris Poulin, has been working with Dartmouth researchers to address this problem since 2010. "The next generation of predictive analytics tools gives scientific and clinical investigators new hope and resources for solving even the most intractable problems," said Poulin.
Having confirmed the theoretical underpinnings of this work, Patterns and Predictions is leading "Phase 2" technology for The Durkheim Project, a tightly integrated Big Data initiative with one objective: suicidality prediction at scale. "The promise of Durkheim lies in its ability to collect and monitor a diverse repository of complex data, with the hope of eventually providing a real-time triage of interventional actions upon detection of a critical event," said Poulin. At this time, the associated medical study (Dartmouth CPHS #23781) is authorized as observation only and non-interventional.