… learning models is discussed in the subsequent sections. The digital healthcare informatics
… and heterogeneous data collection with machine learning capability are also emphasized. …

… In this paper, we have described the role of blockchain and deep learning in health informatics.
Both these two emerging technologies face some challenges, which is a research area, …

… It is favorable in many health informatics problems, and ultimately, Deep Learning … medical
informatics. Most of designed applications of DL to medical imaging process the health data …

… ways in which a deep learning algorithm embeds racial, ethnic, gender, or other biases
which shape or corrupt its results. The very nature of machine learning algorithms makes plain …

… (NLP), and deep learning to unearth the latent themes from the vast array of textual data.
This chapter proposes some prominent works in health informatics that use text mining and …

… AI and deep learning are amenable to the advanced technique known as computer vision.
They complement the inner-eye process by dissecting images to achieve more detailed …

… Deep Learning (DL). Meanwhile, this trend is, although with some delay, also reflected in
the medical NLP community. In the reporting period, overwhelming experimental evidence has …

… The first best paper is a very public health focused paper with health informatics and … Health
and Epidemiology Informatics methods could leverage, when combined with Deep Learning, …

… and health informatics-in conjection with data science, data mining and machine learning-have
been applied in numerous real-life applications including disease and healthcare …