Liver Survival Prediction

MODEL TO PREDICT SURVIVAL PROBABILITIES OF PATIENTS WITH SECONDARY LIVER CANCER

This model predicts the likelihood of a patient’s survival after secondary liver cancer. The model is based on a deep learning model trained on historical data. The model takes into account various features such as the number of resected lymph nodes, the number of metastatic lymph nodes, and the number of hepatic metastases to predict the survival probabilities of patients with secondary liver cancer.