Health informatics has emerged as a growing domain of interest among researchers world-
wide owing to its major implications on society. Applications of machine learning in …

The need of data analytics in health informatics for better decision making is a challenging
domain for the past decade. This stimulates more interest of researchers for the design of …

Deep learning is the new big fastest growing field in machine learning. It can significantly
change the way we see Artificial Intelligence and achieving their goal. This paper gives …

When we have a huge data set on which we would like to perform predictive analysis or
pattern recognition, machine learning is the way to go. Machine Learning (ML) is the fastest …

Despite a recent wealth of data and information, the healthcare sector is lacking in
actionable knowledge. The healthcare industry faces challenges in essential areas like …

With a massive influx of multimodality data, the role of data analytics in health informatics
has grown rapidly in the last decade. This has also prompted increasing interests in the …

Neural networks, in the context of deep learning, show much promise in becoming an
important tool with the purpose assisting medical doctors in disease detection during patient …

Gaining knowledge and actionable insights from complex, high-dimensional and
heterogeneous biomedical data remains a key challenge in transforming health care …

Deep learning (DL) is the technique encouraging clinical staff and physicians to work on a
variety of data using DL algorithms. DL techniques have given a rise in the medical facilities …

Kwang Gi Kim https://doi. org/10.4258/hir. 2016.22. 4.351 ing those who are beginning their
careers in deep learning and artificial intelligence research. The other target audience …