MEDai Predictive Modeling Technology Earns High

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<p><strong>Orlando, Fla. &mdash; May 15</strong><br />MEDai, Inc., a provider of advanced solutions for health care that use predictive modeling technology, has announced that its predictive modeling solutions achieved the highest R2 and lower Mean Absolute Predictive Error (MAPE), the two most important criteria in predictive modeling, in the recent health risk-assessment study performed by the Society of Actuaries (SOA).<br /><br />The purpose of the study was to evaluate the predictive accuracy of the commercially available claims-based risk assessment tools. </p><p>The study results ranked MEDai with the best statistics in nine of the categories under evaluation in the study.&nbsp; </p><p>The results of the SOA study are a continuation of the company&rsquo;s success in the predictive modeling market modeling market as supported by its previous wins in the KDD and GFKL competitions. <br /><br />&ldquo;For more than a decade, MEDai has provided health care organizations with the most accurate predictive models on the market,&rdquo; said Steve Epstein, MEDai president and CEO. &ldquo;Our clients continue to see increased cost savings, improved resource allocation and health care delivery as a result of our accuracy. </p><p>&quot;The Society of Actuaries study proves that MEDai has remained true to its vision, which is to be renowned for best-of-breed predictive modeling that delivers practical forecasting solutions to the health care industry.&rdquo;</p>

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