Coreference resolution on entities and events for hospital discharge summaries
Includes bibliographical references (p. 76-80).
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2009
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| Online Access: | http://hdl.handle.net/1721.1/45977 |
| _version_ | 1811072417062191104 |
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| author | He, Tian Ye |
| author2 | Ozlem Uzuner and Peter Szolovits. |
| author_facet | Ozlem Uzuner and Peter Szolovits. He, Tian Ye |
| author_sort | He, Tian Ye |
| collection | MIT |
| description | Includes bibliographical references (p. 76-80). |
| first_indexed | 2024-09-23T09:05:40Z |
| format | Thesis |
| id | mit-1721.1/45977 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T09:05:40Z |
| publishDate | 2009 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/459772019-04-10T20:42:35Z Coreference resolution on entities and events for hospital discharge summaries He, Tian Ye Ozlem Uzuner and Peter Szolovits. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Includes bibliographical references (p. 76-80). Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007. The wealth of medical information contained in electronic medical records (EMRs) and Natural Language Processing (NLP) technologies that can automatically extract information from them have opened the doors to automatic patient-care quality monitoring and medical- assist question answering systems. This thesis studies coreference resolution, an information extraction (IE) subtask that links together specific mentions to each entity. Coreference resolution enables us to find changes in the state of entities and makes it possible to answer questions regarding the information thus obtained. We perform coreference resolution on a specific type of EMR, the hospital discharge summary. We treat coreference resolution as a binary classification problem. Our approach yields insights into the critical features for coreference resolution for entities that fall into five medical semantic categories that commonly appear in discharge summaries. by Tian Ye He. M.Eng. 2009-06-30T16:53:38Z 2009-06-30T16:53:38Z 2007 2007 Thesis http://hdl.handle.net/1721.1/45977 334756441 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 87 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. He, Tian Ye Coreference resolution on entities and events for hospital discharge summaries |
| title | Coreference resolution on entities and events for hospital discharge summaries |
| title_full | Coreference resolution on entities and events for hospital discharge summaries |
| title_fullStr | Coreference resolution on entities and events for hospital discharge summaries |
| title_full_unstemmed | Coreference resolution on entities and events for hospital discharge summaries |
| title_short | Coreference resolution on entities and events for hospital discharge summaries |
| title_sort | coreference resolution on entities and events for hospital discharge summaries |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/45977 |
| work_keys_str_mv | AT hetianye coreferenceresolutiononentitiesandeventsforhospitaldischargesummaries |