Healthcare organizations and Health Monitoring Systems generate large volumes of complex data, which offer the opportunity for innovative investigations in medical decision making. In this paper, we propose a beetle swarm optimization and adaptive neuro-fuzzy inference system (BSO-ANFIS) model for heart disease and multi-disease diagnosis. The main components of our analytics pipeline are the modified crow search algorithm, used for feature extraction, and an ANFIS classification model whose parameters are optimized by means of a BSO algorithm. The accuracy achieved in heart disease detection is 99.1% with 99.37% precision. In multi-disease classification, the accuracy achieved is 96.08% with 98.63% precision. The results from both tasks prove the comparative advantage of the proposed BSO-ANFIS algorithm over the competitor models.

Multi-disease big data analysis using beetle swarm optimization and an adaptive neuro-fuzzy inference system / P. Singh, A. Kaur, R.S. Batth, S. Kaur, G. Gianini. - In: NEURAL COMPUTING & APPLICATIONS. - ISSN 0941-0643. - 33:16(2021 Aug), pp. 10403-10414. [10.1007/s00521-021-05798-x]

Multi-disease big data analysis using beetle swarm optimization and an adaptive neuro-fuzzy inference system

G. Gianini
2021

Abstract

Healthcare organizations and Health Monitoring Systems generate large volumes of complex data, which offer the opportunity for innovative investigations in medical decision making. In this paper, we propose a beetle swarm optimization and adaptive neuro-fuzzy inference system (BSO-ANFIS) model for heart disease and multi-disease diagnosis. The main components of our analytics pipeline are the modified crow search algorithm, used for feature extraction, and an ANFIS classification model whose parameters are optimized by means of a BSO algorithm. The accuracy achieved in heart disease detection is 99.1% with 99.37% precision. In multi-disease classification, the accuracy achieved is 96.08% with 98.63% precision. The results from both tasks prove the comparative advantage of the proposed BSO-ANFIS algorithm over the competitor models.
Modified crow search algorithm; Particle swarm optimization; Beetle swarm optimization; Adaptive neuro-fuzzy inference systems; Healthcare data; Heart diseases
Settore INF/01 - Informatica
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
22-feb-2021
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/820841
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