Image processing, speech recognition, object detection etc. are the huge number of areas
that have big data and the powerful tool used for the analysis of big data can be deep …

Healthcare systems deal with a bulk of digital data everyday. Most of the healthcare
organizations are focusing on using deep learning for supporting better patient care. Deep …

The huge amount of digital data in the field of healthcare has given rise to research in
machine learning based on the data-driven approach. Deep learning is gaining primary …

This article aims to discuss and demonstrate deep learning techniques used in healthcare.
After introducing the feasibility of deep learning in the medical field, the article discussed the …

Deep learning is now more popular research domain in machine learning and pattern
recognition in the world. Deep learning is widely success in the in-depth of applications …

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 …

The advancements in technology and digitalization in the healthcare industry promote the
growth of tools like E-health and M-health, which are used at various levels in health …

Machine Learning and Deep Learning in Medical Data Analytics and Healthcare
Applications introduces and explores a variety of schemes designed to empower, enhance …

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 …

Deep learning provides more accurate results compared to machine learning. It uses
layered algorithmic architecture to analyze data. Each layer in artificial neural networks …