An IoMT-based smart remote monitoring system for healthcare

The IoT has evolved during the last decade, incorporating new technologies such as machine learning, deep learning, supply chain, edge computing, security, and databases, adapting to changing industry needs, which has increased industry adoption, predominantly in healthcare. The IoT helps to provide analysis between real-time data and past data using machine learning techniques. In this chapter, the focus is on IoT-based healthcare systems for pre-screening of cervical cancer. Timely pre-screening may define important determinants and timely clearance with smaller treatments, which further reduces the viral persistence that may lead to cervical cancer. Thus, the proposed automated IoT-based healthcare system can be used to make a portable, low-cost, wireless, and confidential device that can be easily accessed and used by nearby healthcare centers. This will help to reduce the disparity among women in developed and developing countries. Also, the system will monitor the patients remotely for in-time checkups and follow-ups in the future.