Classification of Current Procedural Terminology Codes from Electronic Health Record Data Using Machine Learning

Volume: 132, Issue: 4, Pages: 738 - 749
Published: Apr 1, 2020
Abstract
Background Accurate anesthesiology procedure code data are essential to quality improvement, research, and reimbursement tasks within anesthesiology practices. Advanced data science techniques, including machine learning and natural language processing, offer opportunities to develop classification tools for Current Procedural Terminology codes across anesthesia procedures. Methods Models were created using a Train/Test dataset including...
Paper Details
Title
Classification of Current Procedural Terminology Codes from Electronic Health Record Data Using Machine Learning
Published Date
Apr 1, 2020
Volume
132
Issue
4
Pages
738 - 749
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