Successful Mining of Important Data from Patient Archives with Natural Language Processing Commentary on an article by Caroline P. Thirukumaran, MBBS, MHA, PhD, et al.: 'Natural Language Processing for the Identification of Surgical Site Infections in Orthopaedics'

Malizos Konstantinos N.

首页> 外文期刊>The Journal of Bone and Joint Surgery. American Volume >Successful Mining of Important Data from Patient Archives with Natural Language Processing Commentary on an article by Caroline P. Thirukumaran, MBBS, MHA, PhD, et al.: 'Natural Language Processing for the Identification of Surgical Site Infections in Orthopaedics'

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Successful Mining of Important Data from Patient Archives with Natural Language Processing Commentary on an article by Caroline P. Thirukumaran, MBBS, MHA, PhD, et al.: 'Natural Language Processing for the Identification of Surgical Site Infections in Orthopaedics'

机译：从患者档案中成功挖掘患者档案与自然语言处理评论，由Caroline P. Thirukumaran，MBBS，MHA，Phd等，M：“用于鉴定骨科手术部位感染的自然语言处理”

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《The Journal of Bone and Joint Surgery. American Volume》 |2019年第24期|共2页
作者
Malizos Konstantinos N.;
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作者单位

Univ Thessaly Med Sch Larisa Greece;

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正文语种 eng
中图分类骨科学（运动系疾病、矫形外科学）;
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1. Successful Mining of Important Data from Patient Archives with Natural Language Processing Commentary on an article by Caroline P. Thirukumaran, MBBS, MHA, PhD, et al.: "Natural Language Processing for the Identification of Surgical Site Infections in Orthopaedics" [J] . Malizos Konstantinos N. The Journal of Bone and Joint Surgery. American Volume . 2019,第24期

机译：从患者档案中成功挖掘患者档案与自然语言处理评论，由Caroline P. Thirukumaran，MBBS，MHA，Phd等，M：“用于鉴定骨科手术部位感染的自然语言处理”
2. Family History Extraction From Synthetic Clinical Narratives Using Natural Language Processing: Overview and Evaluation of a Challenge Data Set and Solutions for the 2019 National NLP Clinical Challenges (n2c2)/Open Health Natural Language Processing (OHNLP) Competition [J] . Feichen Shen, Sijia Liu, Sunyang Fu, JMIR Medical Informatics . 2021,第1期

机译：使用自然语言处理的综合临床叙事的家庭历史提取：概述和评估2019年国家NLP临床挑战（N2C2）/开放式健康自然语言处理（OHNLP）竞争的挑战数据集和解决方案
3. A systematic review of natural language processing and text mining of symptoms from electronic patient-authored text data [J] . Dreisbach Caitlin, Koleck Theresa A., Bourne Philip E., International journal of medical informatics . 2019,第MAY期

机译：对电子患者撰写的文本数据中自然语言处理和症状的文本挖掘的系统评价
4. A new approach for modeling researcher community based on scientific article metadata using natural language processing [C] . Daniel Siahaan, Achmad Maududie, Slamin, International Conference on Information Science and Technology . 2017

机译：基于自然语言处理的基于科学文章元数据的研究人员社区建模的新方法
5. Combining Natural Language Processing and Statistical Text Mining: A Study of Specialized Versus Common Languages. [D] . Jarman, Jay. 2011

机译：将自然语言处理与统计文本挖掘相结合：专业语言与公共语言的研究。
6. Natural Language Processing for the Identification of Surgical Site Infections in Orthopaedics [O] . Caroline P. Thirukumaran, Anis Zaman, Paul T. Rubery, -1

机译：用于识别骨科手术部位感染的自然语言处理
7. Natural Language Processing for the Identification of Surgical Site Infections in Orthopaedics [O] . Caroline P. Thirukumaran, Anis Zaman, Paul T. Rubery, 2019

机译：骨科手术部位感染鉴定的自然语言处理

Successful Mining of Important Data from Patient Archives with Natural Language Processing Commentary on an article by Caroline P. Thirukumaran, MBBS, MHA, PhD, et al.: 'Natural Language Processing for the Identification of Surgical Site Infections in Orthopaedics'

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