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Naqa, I.E, Deasy, J.O., Mu, Y., Huang, E., Hope, A.J., Lindsay, P.E., Apte, A., Alaly, J. and Bradley, J.D. (2010) Datamining Approaches for Modeling Tumor Control Probability. Acta Oncologica, 49, 1363-73.
http://dx.doi.org/10.3109/02841861003649224

has been cited by the following article:

• TITLE: Extraordinary Potential of High Technologies Applications: A Literature Review and a Model of Assessment of Head and Neck Squamous Cell Carcinoma (HNSCC) Prognosis

  AUTHORS: Claudio Camuto, Nerina Denaro

  KEYWORDS: Data Mining, Mining Software, Algorithm, Biomarker, Head and Neck Squamous Cell Carcinoma (HNSCC)

  JOURNAL NAME: International Journal of Medical Physics, Clinical Engineering and Radiation Oncology, Vol.3 No.4, October 31, 2014

  ABSTRACT: Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cause of cancer mortality in the world and the 5th most commonly occurring cancer (Siegel, R. 2014). In the last few decades a growing interest for the emerging data from both tumor biology and multimodality treatment in HNSCC has been developed. A huge number of new markers need to be managed with bio-informatics systems to elaborate and correlate clinical and molecular data. Data mining algorithms are a promising medical application. We used this technology to correlate blood samples with clinical outcome in 120 patients treated with chemoradiation for locally advanced HNSCC. Our results did not find a significant correlation because of the sample exiguity but they show the potential of this tool.