… processing and pattern recognition/machine learning, the “one-… /machine learning algorithms
are compared in this review. Among them, the LDA algorithm based on supervised learning …

… This study used a mixed research method design to examine the health status, health care
utilization, and the barriers of accessing health care services in Canada among elderly new …

… The latest development in machine learning-based semantic segmentation methods enables
more accurate automated assessments of street view images, eliminating the need for …

… During the exercise, the Taizhou National Medical Mobilization Center organized affiliated
pharmaceutical companies to deploy drugs and medical supplies to frontline units using a …

… goes way down … As far as our Chinese colleagues are concerned, things are often not fast
enough. But our machines call for the highest kind of precision.” Naturally the Chinese side …

… healthcare, adaptive intelligence harnesses technologies such as artificial intelligence (AI)
and machine learning … Internet of Medical Things (IoMT) are poised to complement adaptive …

… (machine learning, ML),深度学习(deep learning, DL),专家系统(expert systems, ES),智能
机器人(intelligent robots, IR)及医疗物联网(internet of medical things, IoMT)等常用和新兴AI技术…

… The different solution approach using machine learning, fog … that machine learning,
Blockchain, and Artificial intelligence are the … of the smart devices in the healthcare system. In …

… One more benefit of Machine Learning in the medical care … All things considered, Machine
Learning in the medication is … the Machine Learning relies upon medical care innovations. …