Machine Learning Applications For Protecting The Information Of Health Care Department Using Smart Internet Of Things Appliances -A REVIEW
Jyoti Surve, Dhananjay Umrao, M. V. D. N. S. Madhavi, T.S. Rajeswari, Sunil L. Bangare, Maddikera Kalyan Chakravarthi · 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) · 2022
So, let us begin with Machine learning (ML), which is a type of neural network (AI) that empowers software programmers to start increasing prediction without being done with full to do so. Because data is so valuable, improving strategies for intelligently having to manage the now-ubiquitous content infrastructures is a necessary part of the process toward completely autonomous agents. Computer vision and computer vision have improved a wide range of industries, including medical diagnoses, data display and procedures, science and research, and so on A number of tiny IoT devices on the market for heart rate sensor, allowing patients to roam about freely while their hearts are continually monitored. It is still difficult to guarantee ultra-accurate findings, however most current instruments can achieve accuracy rates of over 90 percentage... Monitoring cardiac rhythms, as well as glucose levels, may be challenging, and even those who are represented at medical institutions. Intermittent heart rate assessments cannot protect against sudden changes in vital signs, and standard techniques of heart rhythm surveillance used in hospitals require patients to be permanently attached to wired apparatus, limiting their mobility.