Published November 30, 2024 | Version CC-BY-NC-ND 4.0
Journal article Open

A Comprehensive Approach to Predict Chronic Impairment of the Pulmonary System Through the Application of Artificial Neural Network Algorithm

Creators

  • 1. Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India.

Contributors

Contact person:

  • 1. Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India.

Description

Abstract: COPD is a respiratory condition with airflow restriction and increased inflammation in the air passages. It is the main reason for sickness and death around the world, where it requires sophisticated diagnostic instruments. This research examines how Artificial Neural Networks (ANN) can be used to predict COPD. The clinical dataset has been trained and validated; ANN achieved over 93.75% accuracy. Our findings show that the ANN model is effective in aiding early COPD detection, which could enhance clinical decision-making and patient results.

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Additional details

Identifiers

DOI
10.35940/ijrte.D8170.13041124
EISSN
2277-3878

Dates

Accepted
2024-11-15
Manuscript received on 12 October 2024 | Revised Manuscript received on 23 October 2024 | Manuscript Accepted on 15 November 2024 | Manuscript published on 30 November 2024.

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