Categorization of Patient Disease into ICD-10 with NLP and SVM for Chinese Electronic Health Record Analysis-Reference-Cited by-同舟云学术

Categorization of Patient Disease into ICD-10 with NLP and SVM for Chinese Electronic Health Record Analysis

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 International Conference on Artificial Intelligence and Pattern Recognition - AIPR 2018
language:
Short-container-title:

Author:

Zhong Junmei¹,Gao Chuangui²,Yi Xiu²

Affiliation:

1. Inspur USA Inc, Bellevue, WA, USA

2. Software Business Group, Inspur Inc, Jinan, Shandong, China

Publisher

ACM Press

Reference8 articles.

1. ICD-10 Homepage, http://apps.who.int/classifications/icd10/browse/2016/en

2. Mikolov, T., Chen, K., Corrado, G., and Dean, J. Efficient Estimation of Word Representations in Vector Space. Advances in Neural Information Processing Systems. (2013), 3111--3119.

3. Le, Q., Mikolov, T. Distributed Representations of Sentences and Documents. In Proceedings of the International Conference on Machine Learning. (2014), 1188--1196.

4. FastText Homepage. https://fasttext.cc/

5. Ho, T. K. Random Decision Forests. In Proceedings of the 3rd International Conference on Document Analysis and Recognition. (Montreal, QC, 1995) 14-16, 278--282.

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Deep Learning-Driven Disease Classification Method Using MIMIC-III Database and Natural Language Processing;2023 IEEE 3rd International Conference on Data Science and Computer Application (ICDSCA);2023-10-27

2. DAT-MT Accelerated Graph Fusion Dependency Parsing Model for Small Samples in Professional Fields;Entropy;2023-10-12

3. Interpretable risk models for Sleep Apnea and Coronary diseases from structured and non-structured data;Expert Systems with Applications;2022-08

4. Development and Validation of Deep Learning Transformer Models for Building a Comprehensive and Real-time Trauma Monitoring (Preprint);2022-07-07

5. An interpretable outcome prediction model based on electronic health records and hierarchical attention;International Journal of Intelligent Systems;2021-10-11