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A Comparative Analysis of Selected Set of Natural Language Processing (NLP) and Machine Learning (ML) Algorithms for Clinical Coding using Clinical Classification Standards

机译：使用临床分类标准对用于临床编码的自然语言处理（NLP）和机器学习（ML）算法的选择集进行比较分析

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作者
Kaur, Rajvir;
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作者单位

Western Sydney University (Australia);

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授予单位 Western Sydney University (Australia);
学科
学位 M.Res.
年度 2018
页码 104 p.
总页数 104
原文格式 PDF
正文语种 eng
中图分类
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2. Automatic classification of written descriptions by healthy adults: An overview of the application of natural language processing and machine learning techniques to clinical discourse analysis [J] . Andre Cunha, Carolina Scarton, Cíntia Matsuda Toledo, Dementia & Neuropsychologia . 2014,第3期

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4. UTA_DLNLP at SemEval-2016 Task 12: Deep Learning Based Natural Language Processing System for Clinical Information Identification from Clinical Notes and Pathology Reports [C] . Peng Li, Heng Huang International workshop on semantic evaluation;Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies . 2016

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5. Missing Data Imputation Using Machine Learning and Natural Language Processing for Clinical Diagnostic Codes [D] . Choudhury, Arkopal. 2020

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A Comparative Analysis of Selected Set of Natural Language Processing (NLP) and Machine Learning (ML) Algorithms for Clinical Coding using Clinical Classification Standards

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