Patterns and Predictions Uses Big Data to Predict Veteran Suicide Risk

Patterns and Predictions uses Hadoop to power The Durkheim Project – a Big Data analytics network for the assessment of mental health risks. This project aims to find patterns of at risk military veterans, make predictions as to which individuals are at risk, and then implement helpful social engineering to help that person find an alternate outcome.

Date: Tuesday, Aug 27 2013


Patterns and Predictions (P&P) is a predictive analytics firm with a core technology that provides unstructured and linguistics driven prediction. It is the technology powering the Durkheim Project’s ‘Big Data’ analytics network for the assessment of mental health risks -- veteran suicide risk in particular. The technical rubric for the project is “maximum speed at minimum cost." "With Cloudera Search and Impala, our ingestion of data on Hadoop is promisingly efficient in terms of lower costs, better computational throughput, and reduced complexity of IT support.”

The Durkheim Project is named in honor of David Émile Durkheim, a French sociologist whose 1897 publication, Suicide, defined early text analysis for suicide risk and provided important theoretical explanations relating to societal disconnection. The project follows its namesake’s lead in its search for what Durkheim referred to as the “qualities” of suicide – those specific patterns and clues that point to suicide risk. The Durkheim Project, though, has one valuable tool at its disposal that the founding sociologist didn’t have: technology.

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