Data Analytics in Smart Healthcare: The Recent Developments and Beyond

• Published in: Applied sciences Vol. 9; no. 14; p. 2812
• Main Authors: Lytras, Miltiadis D., Chui, Kwok Tai, Visvizi, Anna
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 14-07-2019
• Subjects: Accuracy; Algorithms; Artificial intelligence; bioinformatics; Classification; Clustering; computational intelligence; Continuity of care; Data analysis; data analytics; Data envelopment analysis; Deep learning; Diabetes; Diabetic retinopathy; Dietitians; Efficiency; Health care; Hypertension; Internet of Things; internet of things (IoT); machine learning; Medical electronics; Medical equipment; Neural networks; Nurses; Prostate; Quality of life; Radiation therapy; Skin; smart city; smart healthcare; Software; Support vector machines; Tuberculosis; Variance analysis
• ISSN: 2076-3417; 2076-3417
• DOI: 10.3390/app9142812

The concepts of the smart city and the Internet of Things (IoT) have been facilitating the rollout of medical devices and systems to capture valuable information of humanity. A lot of artificial intelligence techniques have been demonstrated to be effective in smart city applications like energy, transportation, retail and control. In recent decade, retardation of the adoption of data analytics algorithms and systems in healthcare has been decreasing, and there is tremendous growth in data analytics research on healthcare data. The results of analytics aim at improving people’s quality of life as well as relieving the issue of medical shortages. In this special issue “Data Analytics in Smart Healthcare”, thirteen (13) papers have been published as the representative examples of recent developments. Guest Editors also highlight some emergent topics and opening challenges in healthcare analytics which follow the visions of the movement of healthcare analytics research.