Clinical notes classification system for automated identification of diabetic patients: Hybrid approach integrating rules, information extraction and machine learning
Jonathan Zavala-Díaz,
Juan C. Olivares-Rojas,
José A. Gutiérrez-Gnecchi
et al.
Abstract:Efficient medical information management is essential in today’s healthcare, significantly to automate diagnoses of chronic diseases. This study focuses on the automated identification of diabetic patients through a clinical note classification system. This innovative approach combines rules, information extraction, and machine learning algorithms to promise greater accuracy and adaptability. Initially, the four algorithms evaluated showed similar performance, with Gradient Boosting standing out with an accura… Show more
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