Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Machine learning algorithms can more efficiently predict biochemical recurrence after robot-assisted radical prostatectomy
The Prostate ( IF 2.6 ) Pub Date : 2021-07-05 , DOI: 10.1002/pros.24188 Mithat Ekşi 1 , İsmail Evren 1 , Fatih Akkaş 1 , Yusuf Arıkan 1 , Osman Özdemir 1 , Deniz N Özlü 1 , Ali Ayten 1 , Selcuk Sahin 1 , Volkan Tuğcu 2 , Ali I Taşçı 1
The Prostate ( IF 2.6 ) Pub Date : 2021-07-05 , DOI: 10.1002/pros.24188 Mithat Ekşi 1 , İsmail Evren 1 , Fatih Akkaş 1 , Yusuf Arıkan 1 , Osman Özdemir 1 , Deniz N Özlü 1 , Ali Ayten 1 , Selcuk Sahin 1 , Volkan Tuğcu 2 , Ali I Taşçı 1
Affiliation
To develop a model for predicting biochemical recurrence (BCR) in patients with long follow-up periods using clinical parameters and the machine learning (ML) methods.
中文翻译：
机器学习算法可以更有效地预测机器人辅助根治性前列腺切除术后的生化复发
使用临床参数和机器学习 (ML) 方法开发预测长期随访患者生化复发 (BCR) 的模型。
更新日期：2021-07-20
中文翻译：
机器学习算法可以更有效地预测机器人辅助根治性前列腺切除术后的生化复发
使用临床参数和机器学习 (ML) 方法开发预测长期随访患者生化复发 (BCR) 的模型。
京公网安备 11010802027423号