PulmoPred is a web application that performs classification of patients with obstructive and non-obstructive pulmonary diseases using spirometry data. It uses Multi-layer Perceptron (MLP) classifier trained on spirometry data of patients from Institute of Pulmocare and Research (IPCR), Kolkata, India. Spirometry is a simple, inexpensive and non-invasive test that investigates the mechanics of lung. To know more about the spirometry features, click here.

To know more about PulmoPred, go to About page. For help, please refer to Help page. The source code is available at https://github.com/ttsudipto/PulmoPred.

Cite as: Bhattacharjee, S., Saha, B., Bhattacharyya, P., & Saha, S. (2022). Classification of obstructive and non-obstructive pulmonary diseases on the basis of spirometry using machine learning techniques. Journal of Computational Science, 63, 101768. https://doi.org/10.1016/j.jocs.2022.101768

Note: All fields are manadtory.

Measurements Pre-bronchodilator Post-bronchodilator
Value Pred % Value Pred %
FEV1 - Forced Expiratory Volume
FVC - Forced Vital Capacity
FEF 25-75% - Forced Expiratory Flow


Bhattacharjee S. et al., J Comput Sci (2022), 63:101768. doi: 10.1016/j.jocs.2022.101768. Please contact Dr. Sudipto Saha (ssaha4@jcbose.ac.in) regarding any further queries.