Intelligent Healthcare Management: Advancing Healthcare with Integrated AI and ML Solutions

Author:

Kumar Sehrawat Sunil

Abstract

The proposed system, leveraging the power of big data, telecommunication technologies, and wearable sensors, presents a unique opportunity to transform the healthcare industry. It fosters a seamless connection between patients, wearable sensors, caregivers, and providers through the innovative use of Information and Communication Technology (ICT) and software. This is of utmost importance in developing countries, where the healthcare sector grapples with economic challenges amplified by a burgeoning population and a surging demand for quality care, particularly for the elderly. The urgency for new technologies and tools to bolster the healthcare of senior citizens has reached a tipping point. Breakthroughs in wireless technology, miniaturization, computing power, and processing have paved the way for the development of interconnected medical devices. This proposal introduces a cutting-edge healthcare monitoring system for tracking the activities of elderly individuals, harnessing the power of the Hadoop MapReduce technique for the parallel processing of large datasets. Data from wearable sensors placed on the subjects' left ankle, right arm, and chest are transmitted to a cloud platform and a data analytics layer via Internet of Medical Things (IoMT) devices. The data is then divided into small chunks and processed as Map tasks.

Publisher

IJRSSH Publication

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