Clinical Data Classification Using an Ensemble Approach Based on CNN and Bag-of-Words Approach

Abstract

From the past decade, there has been drastic development and deployment of digital data warehoused in electronic health record (EHR). Initially, it is intended for getting patient general info and accomplishment healthcare tasks like billing, but researchers focused on secondary and most important use of these data for innumerable clinical solicitations. In this paper, we addressed the use of deep learning-based clinical note multi-label multi-class approach using ensemble approach based on CNN and bag-of-words approach. And we map those classes for multi-classes. And we perform experiments with Python, and we used libraries of Keras, TensorFlow, NumPy, matplotlib, and we use MIMIC-III data set. And we made comparison with existing works CNN, skip-gram, n-gram and bag of words. The performance results show that proposed framework performed good while classifying the text notes.