ANALYSIS OF LUNG CANCER PREDICTION OVER MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE

Authors

  • K. Kanagalakshmi , H. Bhargath Nisha

DOI:

https://doi.org/10.47750/pnr.2022.13.S10.105

Abstract

Lung disease is a severe health problem in the natural world. Breathing problems are a typical sign of all types of lung diseases; here are some instances of common lung disorders. The chronic obstructive pulmonary disease includes acute bronchitis, asthma, COPD, ARDS, and lung cancer (COPD). This yearly report contains data on cancer symptoms, risk factors, early detection, and treatment, as well as cancer incidence, death, and survival statistics. In 2015, there are expected to be 1,658,370 new cancer cases diagnosed in the United States, with 589,430 cancer deaths. Lung cancer is the top cause of cancer-related death in both men and women, according to the 2016 World Cancer Report. Smoking, breathing prescriptions, smoking, and allergic materials cause lung diseases. C.T. scans aid in the diagnosis of the most severe lung diseases. A CT image is sufficient for analyzing the suggested procedure, and soft tissue visibility is improved.

Non-small and small cell lung cancer are the two forms of lung cancer. Lung cancer is divided into two types: small cell lung cancer and non-small cell lung cancer, with three subtypes: carcinoma, adenocarcinoma, and squamous cell carcinomas. The stage of lung cancer is crucial for assessing therapy options and prognosis. The cancer stage is determined by the size or extent of the primary tumour and whether it has spread to nearby lymph nodes or other body sections. A variety of staging systems is used to classify cancer. Lung cancer is the second most commonly diagnosed cancer in both men and women. With an anticipated 224,390 new cases, lung cancer is expected to account for about 14% of all cancer diagnoses in 2016. Although the CAD systems given have not been directly applied to lung cancer screening, they offer theoretical support and have the potential to be practical tools for improving C.T. lung cancer screening. Researchers looked at various research articles to build a unique lung cancer detection model.

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Published

2022-12-31 — Updated on 2022-12-31

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How to Cite

ANALYSIS OF LUNG CANCER PREDICTION OVER MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE . (2022). Journal of Pharmaceutical Negative Results, 926-936. https://doi.org/10.47750/pnr.2022.13.S10.105