Health assistant based on cloud platform

Abstract

With the rapid growth of machine learning algorithms, the artificial intelligence classification technology serves as a useful and an important reference for physicians or non-specialists to make a diagnosis. In this paper, we designed a health assistant that aims at enhancing the quality and the performance of healthcare services. We intend to develop communication technologies between cloud platform and mobile applications to resolve the data-storage shortage of portable devices. Contribution of our work includes the use of effective and efficient machine learning algorithms (i.e. Bayesian Network, C5.0, Neural Network and Neural-C5.0) which have been compared and applied to diagnosis a heart disease. Our study conducted four experiments and constructed a model on the cloud. And this article summaries the implementation details and presents the results of our study.