Eccovia Solutions™ Unveils Machine Learning Pilot to Predict Recidivism for Individuals …

SALT LAKE CITY–(BUSINESS WIRE)–Eccovia Solutions, a leading provider of cloud-based case management solutions for health and human services, announced today it has completed a machine learning pilot with homelessness data to predict recidivism at the time of intake for individuals experiencing homelessness.For more than 20 years, the ClientTrack Case Management platform has played a critical role in helping homeless services organizations and continuums of care deliver critical services to individuals experiencing homelessness. This new predictive analytics pilot combines the Microsoft Cortana Intelligence Suite with the ClientTrack Case Management Platform to deliver cloud-based, real-time, predictive analytics that improve outcomes for individuals experiencing homelessness and reduce costs for providers.“Eccovia Solutions has long been focused on helping providers gather better information and improve outcomes for high risk populations,” said Carl Champagne, CEO of…


Link to Full Article: Eccovia Solutions™ Unveils Machine Learning Pilot to Predict Recidivism for Individuals …

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