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