Asthma Disease Prediction Analysis by Artificial Neural Networks (ANNs)

Asthma Disease Prediction Analysis by Artificial Neural Networks (ANNs)

Sanjeev Kumar1, Savita2

1Research Scholar, Shri Venkateshwara University, Gajraula, Uttar Pradesh, India

2Assistant Professor, Shri Venkateshwara University, Gajraula, Uttar Pradesh, India

Abstract: Asthma is a chronic respiratory condition that affects millions of people worldwide, causing swelling and narrowing of the lung airways.  Due to this, people experience breathing problems and sometimes notice wheezing sounds while breathing. The leading causes of asthma symptoms are inflammation and narrowing of small airways in the lungs, which can be a combination of several diseases, such as cough, wheeze, shortness of breath, and chest tightness.  According to the World Health Organisation, 282 million people were affected in 2023, and it caused more than five lakh deaths. The early prediction and detection of asthma disease can help improve patient outcomes and save human lives. The various machine learning and deep learning algorithms are performing well for the early prediction of asthma disease. The research proposed a predictive solution for the early prediction of asthma disease by using Artificial Neural Networks (ANNs). The accuracy of the model is scored with a hidden layer for 10 epochs, with a value of  92.34%.

Keywords: Asthma prediction, Machine learning algorithms, Predictive accuracy, chronic respiratory condition, Healthcare systems