Personalized prediction of survival rate with combination of penalized Cox models in patients with colorectal cancer
Seon Hwa Lee,
Jae Myung Cha,
Seung Jun Shin
Abstract:The investigation into individual survival rates within the patient population was typically conducted using the Cox proportional hazards model. This study was aimed to evaluate the performance of machine learning algorithm in predicting survival rates more than 5 years for individual patients with colorectal cancer. A total of 475 patients with colorectal cancer (CRC) and complete data who had underwent surgery for CRC were analyze to measure individual’s survival rate more than 5 years using a machine learni… Show more
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