• Ms. Yogita Gupta
• Ch. Yashwanth Kumar
• P. Karthik Reddy
• B. Narayan Singh

An aberrant proliferation of malignant cells in the respiratory tract of a person causes lung cancer, a deadly hereditary illness. Cancer of the lung can have major consequences because the lungs are one of the most important organs in the human body. We have concentrated on early identification of lung cancer in this work to benefit both physicians and patients. Histopathology pictures and other diagnostic instruments can be used to identify lung cancer. The suggested study uses histopathology images and CT scans to identify lung cancer by combining a hybridised model of neural networks using convolution with a group of machine learning algorithms, including a Support Vector Classifier, KNN Algorithm, Decision Tree, and Adaboost. 96.12 percent accuracy was attained overall with this job.

"Using an Ensemble Machine Learning Algorithm to Detect Lung Cancer ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.c789-c793, April-2024, Available :http://www.jetir.org/papers/JETIR2404286.pdf

"Using an Ensemble Machine Learning Algorithm to Detect Lung Cancer ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppc789-c793, April-2024, Available at : http://www.jetir.org/papers/JETIR2404286.pdf