Predicting the Presence of Lung Cancer Using Functional Networks

Author:

Usha Priya B.ORCID,Lokeswara Reddy V.ORCID

Publisher

Springer Nature Singapore

Reference22 articles.

1. Nall R (2018) Medical news today. Available online at: https://www.medicalnewstoday.com/articles/323648.php. Accessed 14 March 2022

2. Brocken P, Kiers BA, Looijen-Salamon MG et al (20121) Timeliness of lung cancer diagnosis and treatment in a rapid outpatient diagnostic program with combined FDG-PET and contrast enhanced CT scanning. Lung Cancer 75(3):336–341

3. Vivekanandan P (2013) An efficient SVM based tumour classification with symmetry non-negative matrix factorization using gene expression data. 2013 international conference on information communication and embedded systems (ICICES). IEEE, USA, pp 761–768

4. Billah M, Islam N (2016) An early diagnosis system for predicting lung cancer risk using adaptive neuro fuzzy inference system and linear discriminant analysis. J MPE Mol Pathol Epidoemiol 1(3):1–4

5. Tiwari S, Walia N, Singh H, Sharma A (2015) Effective analysis of lung infection using fuzzy rules. Int J Bio-Sci Bio-Technol 7(6):85–96

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