首页|Shengjing Hospital of China Medical University Reports Findings in Neoplasms (De velopment and Validation of a Novel Machine Learning Model to Predict the Surviv al of Patients with Gastrointestinal Neuroendocrine Neoplasms)
Shengjing Hospital of China Medical University Reports Findings in Neoplasms (De velopment and Validation of a Novel Machine Learning Model to Predict the Surviv al of Patients with Gastrointestinal Neuroendocrine Neoplasms)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Neoplasms is the subje ct of a report. According to news reporting out of Shenyang, People's Republic o f China, by NewsRx editors, research stated, "Well-calibrated models for persona lized prognostication of patients with gastrointestinal neuroendocrine neoplasms (GINENs) are limited. This study aimed to develop and validate a machine-learni ng model to predict the survival of patients with GINENs." Our news journalists obtained a quote from the research from the Shengjing Hospi tal of China Medical University, "Oblique random survival forest (ORSF) model, C ox proportional hazard risk model, Cox model with least absolute shrinkage and s election operator penalization, CoxBoost, Survival Gradient Boosting Machine, Ex treme Gradient Boosting survival regression, DeepHit, DeepSurv, DNNSurv, logisti c-hazard model, and PC-hazard model were compared. We further tuned hyperparamet ers and selected variables for the best-performing ORSF. Then, the final ORSF mo del was validated. A total of 43,444 patients with GINENs were included. The med ian (interquartile range) survival time was 53 (19-102) months. The ORSF model p erformed best, in which age, histology, M stage, tumor size, primary tumor site, sex, tumor number, surgery, lymph nodes removed, N stage, race, and grade were ranked as important variables. However, chemotherapy and radiotherapy were not n ecessary for the ORSF model. The ORSF model had an overall C index of 0.86 (95% confidence interval, 0.85-0.87). The area under the receiver operation curves at 1, 3, 5, and 10 years were 0.91, 0.89, 0.87, and 0.80, respectively. The decisi on curve analysis showed superior clinical usefulness of the ORSF model than the American Joint Committee on Cancer Stage. A nomogram and an online tool were gi ven."
ShenyangPeople's Republic of ChinaAs iaCyborgsEmerging TechnologiesGastroenterologyHealth and MedicineMachi ne LearningNeoplasms
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