| Tài liệu tham khảo |
Loại |
Chi tiết |
| [2] Pradeep Chowriappa, Sumeet Dua, Yavor Todorov, “Introduction to Machine Learning in Healthcare Informatics” . Volume 56 of the series Intelligent Systems Reference Library pp 1-23 – 2013 |
Sách, tạp chí |
| Tiêu đề: |
Introduction to Machine Learning in Healthcare Informatics” . "Volume 56 of the series Intelligent Systems Reference Library pp 1-23 |
|
| [3] Hoang Nguyen, Jon Patrick. “Text Mining in Clinical Domain: Dealing with Noise”. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Pages 549-558 – 2016 |
Sách, tạp chí |
| Tiêu đề: |
Text Mining in Clinical Domain: Dealing with Noise”. "Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Pages 549-558 |
|
| [4] L. Cheng, J. Zheng, G. Savova, and B. Erickson.. “Discerning tumor status from unstructured mri reports-completeness of information in existing reports and utility of automated natural language processing. Journal of Digital Imaging” – 2010 |
Sách, tạp chí |
| Tiêu đề: |
Discerning tumor status from unstructured mri reports-completeness of information in existing reports and utility of automated natural language processing. Journal of Digital Imaging” "– |
|
| [5] Mi-Young Kim, Ying Xu, Osmar R. Zaiane, and Randy Goebel. “Recognition of patient-related named entities in noisy tele-health texts”. ACM Trans. Intell. Syst. Technol. 6, 4, Article 59 – 2015 |
Sách, tạp chí |
| Tiêu đề: |
Recognition of patient-related named entities in noisy tele-health texts”. "ACM Trans. Intell. Syst. Technol. 6, 4, Article 59 |
|
| [9] O. Uzuner, X. Zhang, and T. Sibanda. “Machine learning and rule-based approaches to assertion classification. Journal of the American Medical Informatics Association” – 2009 |
Sách, tạp chí |
| Tiêu đề: |
Machine learning and rule-based approaches to assertion classification. Journal of the American Medical Informatics Association |
|
| [10] Kiss, T. and Strunk, J. (2006).”Unsupervised multilingual sentence boundary detection”. Computational Linguistics - 2006 |
Sách, tạp chí |
| Tiêu đề: |
Computational Linguistics |
| Tác giả: |
Kiss, T. and Strunk, J |
| Năm: |
2006 |
|
| [22] Brill, E., “Transformation-Based Error-Driven Learning and Natural Language Processing: A Case Study in Part-of-Speech Tagging, MIT Press Cambridge, MA, USA,1995 |
Sách, tạp chí |
| Tiêu đề: |
Transformation-Based Error-Driven Learning and Natural Language Processing: A Case Study in Part-of-Speech Tagging, "MIT Press Cambridge, MA, USA |
|
| [24] F.Sha and F.Pereira.Shallow parsing with conditional random fields. In Proc. Human Language Technology/ the Association for Computational Linguistics North American Chapter, 2003 |
Sách, tạp chí |
| Tiêu đề: |
In Proc. Human Language Technology/ the Association for Computational Linguistics North American Chapter |
|
| [28] A.Ratnaparkhi. “A maximum entropy model for part-of-speech tagging”. In Proc. Emparical Methods for Natural Language Processing, 1996 |
Sách, tạp chí |
| Tiêu đề: |
A maximum entropy model for part-of-speech tagging”. "In Proc. Emparical Methods for Natural Language Processing |
|
| [29] Lafferty, J., McCallum, A., Pereira, F. “Conditional random fields: Probabilistic models for segmenting and labeling sequence data”. Proc. 18th International Conf. on Machine Learning. Morgan Kaufmann. pp. 282–289, 2001 |
Sách, tạp chí |
| Tiêu đề: |
Conditional random fields: Probabilistic models for segmenting and labeling sequence data”. Proc. "18th International Conf. on Machine Learning. Morgan Kaufmann. pp. 282–289 |
|
| [31] David M W Powers. “Evaluation: From Precision, Recall and F-Factor to ROC, Informedness, Markedness & Correlation”.Technical Report SIE-07- 001,2007 |
Sách, tạp chí |
| Tiêu đề: |
Evaluation: From Precision, Recall and F-Factor to ROC, Informedness, Markedness & Correlation |
|
| [16] TF-IDF, https://en.wikipedia.org/wiki/Tf%E2%80%93idf ,16.06.2018 |
Link |
|
| [17] SVM, https://vi.wikipedia.org/wiki/Máy_vectơ_hỗ_trợ ,16.06.2018 |
Link |
|
| [18] EMR, https://en.wikipedia.org/wiki/Electronic_health_record ,16.06.2018 |
Link |
|
| [20]UMLS, https://www.nlm.nih.gov/research/umls/meta2.html#s2_0 ,16.06.2018 |
Link |
|
| [25] RNN, https://dominhhai.github.io/vi/2017/10/what-is-rnn/, 16/06/18 |
Link |
|
| [26] LSTM, https://dominhhai.github.io/vi/2017/10/what-is-lstm/ , 16/06/18 |
Link |
|
| [27] POS Tagger, https://en.wikipedia.org/wiki/Part-of-speech_tagging , 16/06/18 |
Link |
|
| [1] Chen, Stanley F. & Joshua Goodman. An empirical study of smoothing techniques for language modeling. Computer Speech and Language 13. 359–394. – 1999 |
Khác |
|
| [6] Ronald J. Brachman and Thomas G. Dietterich. Active Learning (Synthesis Lectures on Artificial Intelligence Machine Learning). Morgan & Claypool Publishers, 2012 |
Khác |
|