Automatic biomedical information extraction from free text
Abstract/Contents
- Abstract
- Advances in medical research, pharmaceuticals, treatment options, and biotechnology are occurring at an explosive rate. As of 2009, there are 19 million of biomedical research abstracts available on MEDLINE and 1.3 billion searches of MEDLINE are done in 2009. Most of the popular search engines, from Google to PubMed, use keyword-based information retrieval methods, often overloading users with irrelevant information. At the same time, keyword-based search engines cannot answer simple biomedical questions, such as "what are the breast cancer treatment drugs" or "what are the breast cancer associated genes". Answering such questions requires machine understandable knowledge to be extracted from free text. My thesis represents an automated system to extract machine understandable biomedical information from MEDLINE abstracts using machine learning and natural language processing ( NLP ) techniques. The system is different from current biomedical information extraction systems in the following: 1.the system is semi-supervised where the only human supervision is a single pattern for each information type; 2. it can be used to extract broad types of information, including named entities and relationships among entities.
Description
Type of resource | text |
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Form | electronic; electronic resource; remote |
Extent | 1 online resource. |
Publication date | 2010 |
Issuance | monographic |
Language | English |
Creators/Contributors
Associated with | Xu, Rong, Ms | |
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Associated with | Stanford University, Program in Biomedical Informatics. | |
Primary advisor | Das, Amar K. (Amar Kumar) | |
Primary advisor | Garber, Alan M | |
Thesis advisor | Das, Amar K. (Amar Kumar) | |
Thesis advisor | Garber, Alan M | |
Thesis advisor | Altman, Russ | |
Thesis advisor | Manning, Christopher D | |
Advisor | Altman, Russ | |
Advisor | Manning, Christopher D |
Subjects
Genre | Theses |
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Bibliographic information
Statement of responsibility | Ms Rong Xu. |
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Note | Submitted to the Program in Biomedical Informatics. |
Thesis | Thesis (Ph.D.)--Stanford University, 2010. |
Location | electronic resource |
Access conditions
- Copyright
- © 2010 by Rong Xu
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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