The application of deep learning in biomedical informatics

The expansion of big data in biomedical and health field has driven the need of new effective analysis technology. Deep learning is a powerful machine learning method. With the contribution of rapid computational power improvement, it is becoming a promising technique to generate new knowledge, interpretation and gain insights from high-throughout, heterogeneous and complex biomedical data from different sources, such as medical imaging, clinical genomics, and electronic health records. This paper presents an overview of the application of deep learning approach in the biomedical informatics. First we introduce the development of artificial neural network and deep learning, then mainly focus on the researches applying deep learning in biomedical informatics field. We also discuss the challenges for future improvement, such as data quality and interpretability.