Title: Intelligent cloud assistance for healthcare sectors

Authors: A. Jayanthiladevi; P.S. Aithal; K. Krishna Prasad; K.G. Nandhakumar; Manivel Kandasamy

Addresses: Srinivas University, Pandeshwar, Mangalore, Karnataka, India ' Srinivas University, Pandeshwar, Mangalore, Karnataka, India ' Srinivas University, Pandeshwar, Mangalore, Karnataka, India ' Department of Cloud Technology and Data Science, College of Engineering and Technology, Srinivas University, Karnataka, India ' United Health Group, Bangalore, India

Abstract: E-healthcare systems have been measured by the drastically facilitating healthcare monitoring, earlier intervention and disease modelling and proof-based medical consultancy using medical image feature extraction and text mining. Due to certain resource constraints encountered in wearable devices, it is essential to outsource frequently generated healthcare information of individuals to cloud systems. Regrettably, handling both computation and storage to some un-trusted entity is a sequence of privacy and security crisis. The prevailing approaches significantly concentrate on finely tuning privacy preservation statistical medical text analysis and access, which is barely considered as a dynamic fluctuation of health condition and analysis of medical image. In this work, an effectual and secure privacy preservation dynamic medical modelling scheme has been anticipated as a healthcare service with cloud-based e-healthcare solution that offers automated functions to notify nearby hospitals in providing immediate proper treatment for medical emergencies.

Keywords: healthcare; cloud computing; healthcare services; cloud assistance; alert triggering.

DOI: 10.1504/IJCC.2022.128694

International Journal of Cloud Computing, 2022 Vol.11 No.5/6, pp.492 - 501

Received: 07 Feb 2020
Accepted: 12 Jul 2020
Published online: 02 Feb 2023 *

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