Risk Assessment Models for Diabetes Complications: A Survey of Available Online Tools

作者: Angelina Kouroubali , Vincenzo Lagani , Franco Chiarugi , Lefteris Koumakis , Ioannis Tsamardinos

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摘要: Predictions, risk assessment and profiling are among the various decision support techniques that medical professionals increasingly rely on to provide early diagnose in patients with elevated risks slow down rapid increase prevalence of chronic diseases. The introduction tools applications for diseases large scale longitudinal clinical studies, presents many challenges due nature data (studies last around a decade) complexity models. In this paper, we give an overview research work diabetes complications. We also introduce REACTION project its vision field

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