Genetics and Genomics Commons^™

Combining Deep Learning With Token Selection For Patient Phenotyping From Electronic Health Records., Zhen Yang, Matthias Dehmer, Olli Yli-Harja, Frank Emmert-Streib

Articles, Abstracts, and Reports

Artificial intelligence provides the opportunity to reveal important information buried in large amounts of complex data. Electronic health records (eHRs) are a source of such big data that provide a multitude of health related clinical information about patients. However, text data from eHRs, e.g., discharge summary notes, are challenging in their analysis because these notes are free-form texts and the writing formats and styles vary considerably between different records. For this reason, in this paper we study deep learning neural networks in combination with natural language processing to analyze text data from clinical discharge summaries. We provide a detail analysis …