5b34b701936dd1eaf7-f09 20241128070323448 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 11 30 2024 13 4 Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India. Adisree. R. https://orcid.org/0009-0001-7048-4456 Mohamed Javed Khan A. https://orcid.org/0009-0001-0012-9598 Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai (Tamil Nadu), India. 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 Percent accuracy. Our findings show that the ANN model is effective in aiding early COPD detection, which could enhance clinical decision making and patient results. 11 30 2024 11 30 2024 24 27 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true International Journal of Recent Technology and Engineering (IJRTE) Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) Based on my understanding, this article has no conflicts of interest. This article has not been sponsored or funded by any organization or agency. The independence of this research is a crucial factor in affirming its impartiality, as it has been conducted without any external sway. The data provided in this article is exempt from the requirement for ethical approval or participant consent. The adequate resources of this article are publicly accessible. The authorship of this article is contributed equally to all participating individuals. 10.35940/ijrte.D8170.13041124 https://www.ijrte.org/portfolio-item/D817013041124/