Application of Machine Learning for Prediction of Lung Cancer using Omics Data

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Abstract

Cancer is one of the deadly diseases across many countries. However, cancer can be cured, if detected at an early stage. Researchers are working on healthcare for early detection and prevention of cancer. Medical data has reached its utmost potential by providing researchers with huge data sets collected from all over the globe. In the present scenario, Machine Learning has been widely used in the area of cancer diagnosis and prognosis. Survival analysis may help in the prediction of the early onset of disease, relapse, re-occurrence of diseases and biomarker identification. Applications of machine learning and data mining methods in medical field are currently the most widespread in cancer detection and survival analysis. In this survey, different ways to detect and predict lung cancer using latest Machine learning algorithms combined with data mining has been analyzed. Comparative study of various machine learning techniques and technologies has been done over different types of data such as clinical data, omics data, image data etc.

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Dhillon*, A., Kaur, A., & Singh, A. (2020). Application of Machine Learning for Prediction of Lung Cancer using Omics Data. International Journal of Innovative Technology and Exploring Engineering, 9(6), 230–236. https://doi.org/10.35940/ijitee.f3625.049620

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