We defined a predictive algorithm based on naïve Bayes classifier for identifying patients with thyroid cancer with accuracy of 94.12% (sensitivity 100% and specificity 91.67%) using MALAT1, HOTAIR, and PVT1 expression in FNA samples and the cytological class. The gene discussed is MALAT1; the disease is thyroid cancer.