Systems and methods for predicting response to chemotherapy of highly differentiated bladder cancer

摘要

The systems and methods considered allow the prediction of chemotherapy outcomes for patients diagnosed with highly differentiated bladder cancer. In particularly preferred aspects, the prediction is performed using a model based on machine learning, wherein the model has a minimum predetermined accuracy gain, and the model thus identified comprises weight factors and identity factors for the RTI ID = 0.0 / RTI