Cloud-Enhanced Real-Time Disease Classification With Vital Sign Monitoring: Role of Cloud in Healthcare

Cloud-Enhanced Real-Time Disease Classification With Vital Sign Monitoring: Role of Cloud in Healthcare

Copyright: © 2023 |Pages: 22
DOI: 10.4018/979-8-3693-0593-5.ch003
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Abstract

The delivery of healthcare is an area where data access, processing, analysis, sharing, and storage between many parties is exceedingly important. In order to address this demand, cloud computing has gained popularity in a wide range of fields, including telemedicine, information management, and bioinformatics. The gestures of the patient were continuously captured and recorded in the cloud. The gesture recognition may be applied especially for the bed-ridden patients who cannot communicate verbally. The sample simulation of the clustering and disease identification with the gesture recognition was done to prove the efficacy of the system. In this chapter, various artifacts of cloud-based technology and the possibility of implementation in the healthcare sector is discussed briefly.
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2. Literature Survey

2.1 ML Algorithms in Disease Prediction

Naive Bayes algorithm is used to classify the heart beat data set (Palagan et al., 2022). K-Means Clustering was used to partition information into various informational indexes without class labels (Adeniyi et al., 2021). They have used K-Means Clustering technique for disease identification at H. A Malik Hospital located in Medan.

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