International Journal of Academic Engineering Research (IJAER)   Year: 2018 | Volume: 2 | Issue: 11 | Page No.: 1-7 Classification Prediction of SBRCTs Cancers Using Artificial Neural Network Remah Al-Massri, Yomna Al-Astel, Hanan Ziadia, Deyaa K. Mousa, Samy S. Abu-Naser Abstract: Small Blue Round Cell Tumors (SBRCTs) are a heterogeneous group of tumors that are difficult to diagnose because of overlapping morphologic, immunehistochemical, and clinical features. About two-thirds of EWSR1-negative SBRCTs are associated with CIC-DUX4-related fusions, whereas another small subset shows BCOR-CCNB3 X-chromosomal par acentric inversion. In this paper, we propose an ANN model to Classify and Predict SBRCTs Cancers. The accuracy of the classification reached 100%.