Ensemble Deep Learning Classifier for Optimal Detection of Melanoma Cancer

Abstract

The widespread adoption of electronic health record (EHR) systems in response to a diverse array of requirements for primary and secondary healthcare, there is now an abundance of clinical data that can be accessed with relative ease. This is a significant improvement over the situation that existed previously. The widespread implementation of EHR systems is directly responsible for this effect. Unstructured clinical reports that were either transcribed or dictated by clinicians make up a sizeable percentage of these data, and they were collected in that format. In this paper, we develop an ensemble model to classify cancer disease from EHR using several convolutional neural network (CNN). The simulation is conducted to test the efficacy of the model and the results show that the proposed method achieves higher classification rate than other methods.