… health care features. Thus this book chapter deals with detailed analysis of various deep
learning approaches in health informatics… and their applications in the health care domain. Also …

… of research employing deep learning in health informatics, providing a … deep learning in
the fields of translational bioinformatics, medical imaging, pervasive sensing, medical informatics…

… healthcare informatics is to ensure the high-quality, efficient healthcare, better treatment and
quality of life by efficiently … , and healthcare data including patient’s data, electronic health …

… Deep Learning for Medical Care readily available for medical decisions and to enable an
efficient … research opportunities within the field of medical informatics. This chapter will help …

… Machine Learning (ML) studies algorithms which can learn … Health Informatics (HI) studies
the effective use of probabilistic … to rise quality, efficacy and efficiency of treatment and care. …

… As a result of applying the FCN approach, messy tissues and muscle region can be classified
by applying semantic segmentation and we can effectively distinguish the healthy and …

… The aim of healthcare informatics is to ensure high quality, efficient … the-art approaches for
Machine Learning, Deep Learning, and IoT-based biomedical and health related applications. …

… The technology and healthcare intersect to constitute medical informatics (MI). MI enhances
the outcomes of patients and healthcare through the skills of medical and computer sciences…

… of deep learning (DL) techniques [2]. However, fundamental challenges hinder the effective
deployment of deep learning models to clinical settings. Annotated medical datasets are …

… in the use of deep learning in health informatics and makes an … , medical imaging, pervasive
sensing, medical informatics, … have begun to effectively convert medical records from paper …