Coping With Methodology for Research in the Age of Artificial Intelligence: A Reader's Guide to "Prediction of Prostate Cancer Risk Stratification Based on a Nonlinear Transformation Stacking Learning Strategy".
作者信息
Kim Jin Wook
机构信息
Department of Medical Informatics, Chung-Ang University, Seoul, Korea.
Department of Urology, Chung-Ang University Gwangmyeong Hospital, Gwangmyeong, Korea.
出版信息
Int Neurourol J. 2024 Mar;28(1):1-3. doi: 10.5213/inj.2424edi02. Epub 2024 Mar 31.
Abstract
摘要
相似文献
1
Coping With Methodology for Research in the Age of Artificial Intelligence: A Reader's Guide to "Prediction of Prostate Cancer Risk Stratification Based on a Nonlinear Transformation Stacking Learning Strategy".应对人工智能时代的研究方法：《基于非线性变换堆叠学习策略的前列腺癌风险分层预测》读者指南
Int Neurourol J. 2024 Mar;28(1):1-3. doi: 10.5213/inj.2424edi02. Epub 2024 Mar 31.
2
Prediction of Prostate Cancer Risk Stratification Based on A Nonlinear Transformation Stacking Learning Strategy.基于非线性变换堆叠学习策略的前列腺癌风险分层预测
Int Neurourol J. 2024 Mar;28(1):33-43. doi: 10.5213/inj.2346332.166. Epub 2024 Mar 31.
3
Articles That Use Artificial Intelligence for Ultrasound: A Reader's Guide.使用人工智能进行超声检查的文章：读者指南。
Front Oncol. 2021 Jun 10;11:631813. doi: 10.3389/fonc.2021.631813. eCollection 2021.
4
Reader's theater: a teaching strategy to help students respond to disruptive behavior.读者剧场：一种帮助学生应对破坏性行为的教学策略。
J Nurs Educ. 2011 May;50(5):294-7. doi: 10.3928/01484834-20110317-01. Epub 2011 Mar 17.
5
The intelligent reader's guide to health intelligence.健康情报的智能读者指南。
Public Health. 2010 May;124(5):243-4. doi: 10.1016/j.puhe.2010.04.007. Epub 2010 May 18.
6
Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review.人工智能和统计学方法在肌萎缩侧索硬化症进展分层和预测中的应用：系统评价。
Artif Intell Med. 2023 Aug;142:102588. doi: 10.1016/j.artmed.2023.102588. Epub 2023 May 20.
7
Development and Validation of an Interpretable Artificial Intelligence Model to Predict 10-Year Prostate Cancer Mortality.用于预测10年前列腺癌死亡率的可解释人工智能模型的开发与验证
Cancers (Basel). 2021 Jun 19;13(12):3064. doi: 10.3390/cancers13123064.
8
Preface: Artificial intelligence (AI), machine learning ML) and digital pathology integration are the next major chapter in our diagnostic pathology and laboratory medicine arena.前言：人工智能（AI）、机器学习（ML）和数字病理学的整合是我们诊断病理学和实验室医学领域的下一个重要篇章。
Semin Diagn Pathol. 2023 Mar;40(2):69-70. doi: 10.1053/j.semdp.2023.02.005. Epub 2023 Mar 2.
9
Added Value of Bone Suppression Image in the Detection of Subtle Lung Lesions on Chest Radiographs with Regard to Reader's Expertise.骨抑制图像在胸部 X 线摄影中检测细微肺部病变方面对读者专业知识的附加值。
J Korean Med Sci. 2019 Oct 7;34(38):e250. doi: 10.3346/jkms.2019.34.e250.
10
Exploring the Use of Artificial Intelligence in the Management of Prostate Cancer.探索人工智能在前列腺癌管理中的应用。
Curr Urol Rep. 2023 May;24(5):231-240. doi: 10.1007/s11934-023-01149-6. Epub 2023 Feb 18.
本文引用的文献
1
Prediction of Prostate Cancer Risk Stratification Based on A Nonlinear Transformation Stacking Learning Strategy.基于非线性变换堆叠学习策略的前列腺癌风险分层预测
Int Neurourol J. 2024 Mar;28(1):33-43. doi: 10.5213/inj.2346332.166. Epub 2024 Mar 31.
Zotero 插件