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  • DLSR_ICC

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DLRS: Deep Learning-Based Recommender System for Smart Healthcare Ecosystem

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  • G.S. Aujla
  • A. Jindal
  • R. Chaudhary
  • N. Kumar
  • S. Vashist
  • N. Sharma
  • M.S. Obaidat
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Publication date20/05/2019
Host publication2019 IEEE International Conference on Communications, ICC 2019 - Proceedings
PublisherIEEE
Number of pages6
ISBN (Electronic)9781538680889
ISBN (Print)9781538680896
Original languageEnglish

Abstract

Nowadays, the conventional healthcare domain has witnessed a paradigm shift towards patient-driven healthcare 4.0 ecosystem. In this direction, healthcare recommender systems provide ubiquitous healthcare services to the end users even on the move. However, there are various challenges for the design of patient driven healthcare recommender systems. Some of the major challenges are: a) handling huge amount of data generated by smart devices and sensors, b) dynamic network management for real-time data transmission, and c) lack of knowledge gathering and aggregation methods. For these reasons, in this paper; DLRS: A Deep Learning based Recommender System using software defined networking (SDN) is designed for smart healthcare ecosystem. DLSR works in the following phases: a) a tensor-based dimensionality reduction algorithm is proposed for removing unwanted dimensions in the acquired data, b) a decision tree-based classification scheme is presented for categorization of the patient queries on the basis of different diseases, and c) a convolutional neural network based system is designed for providing recommendations about the patient health. On evaluation, the results obtained prove the superiority of the proposed scheme in contrast to existing competing schemes.

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©2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.