Journal of Engineering and Applied Sciences

Year: 2011
Volume: 6
Issue: 1
Page No. 6 - 9

Neural Networks Based Prediction of Periodontal Disease Using Non-Intrusively Obtained Data

Authors : M.A. Faruqi, S. Shah, R. Agarwala, D. Sun and J. Sai

References

Demetriou, N., A. Parashis and A. Tsami-Pandi., 1990. Relationship between age and clinical symptoms of periodontal disease. Stomatologia, 47: 231-241.
PubMed  |  

Fedi, P.F., A. Vernino and J. Gray, 2000. The Periodontic Syllabus. 4th Edn., Lippincot Williams and Wilkin, Philadelphia, PA USA., pp: 258.

Lette, J., B.W. Colletti, M. Usaf, M. Cerino and D. Mcnamara et al., 1994. Artificial intelligence versus logistic regression statistical modeling to predict cardiac complications after noncardiac surgery. Clin. Cardiol., 17: 609-614.
CrossRef  |  

Nield-Gehrig, J.S. and D.E. Willmann, 2003. Foundations of Periodontics for the Dental Hygienist. Lippincot Williams and Wilkin, Philadelphia, PA USA.

Principe, J.C., N.R. Euliano and W.C. Lefebvre, 2000. Neural and Adaptive Systems: Fundamentals Through Simulations. John Wiley and Sons Inc., New York.

Rose, L.F., B. Mealey and R. Genco, 2004. Periodontics: Medicine, Surgery and Implants. 1st Edn., Mosby, London, pp: 764.

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