Article

Personalized Prediction of Survival Rate with Combination of Penalized Cox Models and Machine Learning in Patients with Colorectal Cancer

2024-03-12

Abstract excerpt

<title>Abstract</title><p>Background The investigation into individual survival rates within the patient population was typically conducted using the Cox proportional hazards model, with geometric black box models not being employed Aims We aims to evaluate the performance of machine learning algorithm in predicting survival rates more than 5 years for individual patients with colorectal cancer. Methods A total of...

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Literature Corpus work: 62c8b00f-0b28-56fa-a0ee-6bad2a60a457
DOI: 10.21203/rs.3.rs-4024382/v1

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