Fuzzy Temporal Rule-Based Natural Language Processing for‎Medical Text Analysis for Caring for Geriatric People

  • Authors

    • Dr. Kumaresh Sheelavant Associate Professor, Sai Vidya Institute of Technology, Visvesvaraya Technological University, Belagavi, Karnataka, India
    • Dr. P.L. Lekshmy Assistant Professor, Department of Computer Science & Engineering, LBS Institute of Technology for Women, Kerala, India
    • J.A. Madhurya Assistant Professor, Department of Computer Science & Engineering, GITAM School of Technology, Bengaluru, India
    • Dr. F. Rahman Assistant Professor, Department of CS & IT, Kalinga University, Raipur, India
    • Dr. Nidhi Mishra Assistant Professor, Department of CS & IT, Kalinga University, Raipur, India
    https://doi.org/10.14419/t7cj0b58

    Received date: June 10, 2025

    Accepted date: June 17, 2025

    Published date: November 1, 2025

  • Medical Application; Artificial Intelligence; Deep Learning; Fuzzy Temporal Rule-Based Semantic Analysis Algorithm

  • Abstract

    The development of robotics applications heavily relies on artificial intelligence and machine learning, which are prerequisites for creating ‎intelligent robotic systems. Furthermore, the development of intelligent robots requires feature selection, classification, and fuzzy rule-based ‎decision making. Because they immediately aid the elderly in receiving medical care, allowing them to go about their daily lives more ‎quickly and effectively, medical assistive robots are beneficial to society. By removing characteristics that don't contribute, such as noise, ‎null values in databases, and properties unrelated to classification problems, feature selection lowers the dimension of the data. Natural ‎language processing can be utilized in medical applications, such as providing medical assistance through robot arm control, to handle the ‎challenging task of directing the robot arm using elderly instructions or orders. To effectively convert speech to text and conduct ‎morphological, syntactic, and semantic analysis on the converted text to more precisely detect the commands issued to robots by older ‎adults, the Fuzzy Temporal Rule-based Semantic Analysis Algorithm (FTRSAA) is suggested in this study. Additionally, the efficient ‎design and execution of the system that helps the elderly are made possible by this voice-activated robot control system, which utilizes the ‎latest intelligent robot technology. By using these recently suggested algorithms to comprehend natural language texts generated from ‎discussions, it communicates with older people.

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  • How to Cite

    Sheelavant, D. K. ., Lekshmy, D. P. ., Madhurya, J. ., Rahman, D. F. ., & Mishra, D. N. . (2025). Fuzzy Temporal Rule-Based Natural Language Processing for‎Medical Text Analysis for Caring for Geriatric People. International Journal of Basic and Applied Sciences, 14(SI-1), 480-487. https://doi.org/10.14419/t7cj0b58