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Clinical Decision Support System for Knee Injuries Treatment Using Multi-Agent System

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Smart Computing Techniques and Applications

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 225))

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Abstract

Diagnosis of sports injuries is a very critical process and its performance depends on the recognition of the relevant symptoms. In this paper, a Multi-Agent-based knee injury detection and diagnosis scheme (MFZS) is introduced that applies fuzzy rules over input symptoms and recommends the relevant treatments. Its performance is compared with traditional fuzzy system (TDFZS) under the constraints of detection accuracy and sensitivity etc. Chi-square and Fisher Exact test is also performed to verify the significance of the outcomes of both schemes.

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Author information

Authors and Affiliations

  1. Goswami Ganesh Dutta Sanatan Dharam College, Chandigarh, India

    Naveen Dalal

  2. DCSA, Panjab University, Chandigarh, India

    Indu Chhabra

Authors
  1. Naveen Dalal
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  2. Indu Chhabra
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Editor information

Editors and Affiliations

  1. School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  2. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  3. Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia

    Margarita N. Favorskaya

  4. Department of Computer Science and Engineering, Vasavi College of Engineering, Hyderabad, Telangana, India

    T. Adilakshmi

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Dalal, N., Chhabra, I. (2021). Clinical Decision Support System for Knee Injuries Treatment Using Multi-Agent System. In: Satapathy, S.C., Bhateja, V., Favorskaya, M.N., Adilakshmi, T. (eds) Smart Computing Techniques and Applications. Smart Innovation, Systems and Technologies, vol 225. Springer, Singapore. https://doi.org/10.1007/978-981-16-0878-0_68

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