Abstract
Recent advancements in wireless communication and machine learning technologies aid in the development of an accurate and affordable healthcare facility. In this paper, we propose a smart healthcare framework in a mobile platform using deep learning. In the framework, a smartphone records a voice signal of a client and sends it to a cloud server. The cloud server processes the signal and classifies it as normal or pathological using a parallel convolutional neural network model. The decision on the signal is then transferred to the doctor for a prescription. Two publicly available databases were used in the experiments, where voice samples were played in front of a smartphone. The experimental results show the suitability of the proposed framework in the healthcare framework.