Estimation of the Variance of Parameters in a Model Proposed to Study Prognosis of Lung Cancer

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Proceedings of 3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 540))

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Abstract

Cancer is one of the major health problems persisting worldwide. The data for the prognosis of cancer is taken from the National Cancer Registry Program (www.ncrpindia.org.in) [1]. We have analyzed the underlying pattern of distribution of incidence rates of lung cancer in males for the two regions such as Bengaluru and Mumbai and fitted model A by observing the pattern of the incidence rates of lung cancer in males. By intuition; we divided the data into 2 groups. For Group 1, the second-degree equation fitted well. For Group 2, the cubic spline model fitted well. The estimation of parameters involved in both Group 1 and Group 2 was estimated by using least squares method. Expressions for the variance of parameters of second-degree curves were derived.

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References

  1. www.ncrpindia.org.in

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Correspondence to Manjula S. Dalabanjan .

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Dalabanjan, M.S., Nataraj, K.R. (2023). Estimation of the Variance of Parameters in a Model Proposed to Study Prognosis of Lung Cancer. In: Gunjan, V.K., Zurada, J.M. (eds) Proceedings of 3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications. Lecture Notes in Networks and Systems, vol 540. Springer, Singapore. https://doi.org/10.1007/978-981-19-6088-8_55

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  • DOI: https://doi.org/10.1007/978-981-19-6088-8_55

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-6087-1

  • Online ISBN: 978-981-19-6088-8

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