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. Here, HOTAIR is linked to thyroid cancer.