Editorial Comment on: Utilizing Machine Learning and Automated Performance Metrics to Evaluate Robot-Assisted Radical Prostatectomy Performance and Predict Outcomes by Hung et al.

Atug Fatih; Sanli Oner; Duru Adil Deniz

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Editorial Comment on: Utilizing Machine Learning and Automated Performance Metrics to Evaluate Robot-Assisted Radical Prostatectomy Performance and Predict Outcomes by Hung et al.

机译：编辑评论：利用机器学习和自动性能指标来评估机器人辅助的自由基前列腺切除术和预测鸿等人的预测结果。

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来源
《Journal of endourology》 |2018年第5期|共1页
作者
Atug Fatih; Sanli Oner; Duru Adil Deniz;
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作者单位

Istanbul Bilim Univ Dept Urol Sch Med TR-34381 Istanbul Turkey;

Istanbul Univ Dept Urol Sch Med Istanbul Turkey;

Marmara Univ Inst Sport Hlth Sci Dept Hlth Sci Istanbul Turkey;

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原文格式 PDF
正文语种 eng
中图分类泌尿科学（泌尿生殖系疾病）;
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1. Editorial Comment on: Utilizing Machine Learning and Automated Performance Metrics to Evaluate Robot-Assisted Radical Prostatectomy Performance and Predict Outcomes by Hung et al. [J] . Atug Fatih, Sanli Oner, Duru Adil Deniz Journal of endourology . 2018,第5期

机译：编辑评论：利用机器学习和自动性能指标来评估机器人辅助的自由基前列腺切除术和预测鸿等人的预测结果。
2. Comparison of clinical outcomes and automated performance metrics in robot-assisted radical prostatectomy with and without trainee involvement [J] . Chen Andrew, Ghodoussipour Saum, Titus Micha B., World journal of urology . 2020,第7期

机译：无学员参与的机器人辅助自由基前列腺切除术中临床结果与自动性能度量的比较
3. Experts vs super-experts: differences in automated performance metrics and clinical outcomes for robot-assisted radical prostatectomy [J] . Hung Andrew J., Oh Paul J., Chen Jian, BJU international . 2019,第5期

机译：专家vs超级专家：机器人辅助自由基前列腺切除术自动性能度量和临床结果的差异
4. Immersive Learning Predicted: Presence, Prior Knowledge, and School Performance Influence Learning Outcomes in Immersive Educational Virtual Environments [C] . Andreas Dengel, Jutta Mägdefrau International Conference of the Immersive Learning Research Network . 2020

机译：预测沉浸式学习：存在，先验知识和学校表现会影响沉浸式教育虚拟环境中的学习成果
5. An investigation of the relationship between automated Machine Translation Evaluation metrics and user performance on an information extraction task. [D] . Tate, Calandra Rilette. 2007

机译：对自动机器翻译评估指标与信息提取任务上的用户性能之间的关系的调查。
6. Performance characteristics of prostate-specific antigen density and biopsy core details to predict oncological outcome in patients with intermediate to high-risk prostate cancer underwent robot-assisted radical prostatectomy [O] . Masahiro Yashi, Akinori Nukui, Yuumi Tokura, 2017

机译：前列腺特异性抗原密度和活检核心细节的性能特征可预测中至高危前列腺癌患者接受机器人辅助根治性前列腺切除术的肿瘤学结局
7. PD58-01 UTILIZATION OF MACHINE LEARNING AND AUTOMATED PERFORMANCE METRICS TO EVALUATE ROBOT-ASSISTED RADICAL PROSTATECTOMY PERFORMANCE AND PREDICT PATIENT OUTCOMES [O] . Andrew Hung, Jian Chen, Zhengping Che, 2018

机译：PD58-01利用机器学习和自动绩效指标，评估机器人辅助自由基前列腺切除术能力，预测患者结果

Editorial Comment on: Utilizing Machine Learning and Automated Performance Metrics to Evaluate Robot-Assisted Radical Prostatectomy Performance and Predict Outcomes by Hung et al.

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