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Mathematical Model for Characterization of Lung Tissues Using Multiple Regression Analysis

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Soft Computing in Data Analytics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 758))

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Abstract

Tuberculosis (TB) and lung cancer are major problems of the lung, and their occurrence as co-morbidities is dealt in many studies. World Health Organization (WHO) states that over 95% of deaths occur due to TB in low and middle income countries. This work presents a retrospective cohort study to derive the mathematical model characterizing the tissues like fibrosis, TB, and carcinoma. The cohort includes 113 normal cases, 103 fibrosis cases, 185 carcinoma cases, and 39 suspicious of tuberculosis cases. Multiple Regression Analysis (MRA) is performed on Gray-Level Co-occurrence Matrix (GLCM)- and Gray-Level Run Length Matrix (GLRLM)-based features extracted from CT images for the characterization of lung tissues. MRA of these 18 numbers of GLCM and 44 numbers of GLRLM-based features gives R2 value of 0.8827 and 0.9456 with mean square error (MSE) of 0.01979 and 0.009852, respectively.

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Acknowledgements

This research work was supported by Santhosham Chest Hospital, Chennai. We wish to thank Dr. Roy Santhosham and the technician of this hospital for giving us their support for the study.

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Authors and Affiliations

  1. Department of Electronics and Instrumentation Engineering, St. Joseph’s College of Engineering, Old Mamallapuram Road, Semmencherry, Chennai, 600119, Tamil Nadu, India

    D. Lakshmi

  2. Department of Electronics and Communication Engineering, St. Joseph’s College of Engineering, Old Mamallapuram Road, Semmencherry, Chennai, 600119, Tamil Nadu, India

    R. Niruban

Authors
  1. D. Lakshmi
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  2. R. Niruban
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Corresponding author

Correspondence to D. Lakshmi .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Sri Sivani College of Engineering, Srikakulam, Andhra Pradesh, India

    Janmenjoy Nayak

  2. Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, Washington, USA

    Ajith Abraham

  3. Department of Mechanical Engineering, Sri Sivani College of Engineering, Srikakulam, Andhra Pradesh, India

    B. Murali Krishna

  4. Department of Electrical and Electronics Engineering, Sri Sivani College of Engineering, Srikakulam, Andhra Pradesh, India

    G. T. Chandra Sekhar

  5. Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology (IIEST), Shibpur, Howrah, West Bengal, India

    Asit Kumar Das

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Lakshmi, D., Niruban, R. (2019). Mathematical Model for Characterization of Lung Tissues Using Multiple Regression Analysis. In: Nayak, J., Abraham, A., Krishna, B., Chandra Sekhar, G., Das, A. (eds) Soft Computing in Data Analytics . Advances in Intelligent Systems and Computing, vol 758. Springer, Singapore. https://doi.org/10.1007/978-981-13-0514-6_12

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