IR @ Nirma University
Keeping in tune the global developments we are creating an institutional repository using DSpace Software (Digital Library Software). We are archiving institutional knowledge like, faculty papers, theses, and dissertations in PDF format at DSpace. Students can access this digital information anywhere in the campus.
Please use this identifier to cite or link to this item:
http://10.1.7.192:80/jspui/handle/123456789/5876Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Dani, Kinjal T. | - |
| dc.date.accessioned | 2015-07-31T07:47:09Z | - |
| dc.date.available | 2015-07-31T07:47:09Z | - |
| dc.date.issued | 2015-06-01 | - |
| dc.identifier.uri | http://hdl.handle.net/123456789/5876 | - |
| dc.description.abstract | In USA Health Care, whenever a patient visits to a hospital or clinic, all the infor- mation regarding that visit is documented. This formal document is known as Clinical Document. A clinical document contains vital information about patient's health in un- structured free text format, so Information Extraction and Clinical Entity Recognition are essential to extract meaningful information from this free clinical text. In this project we have tried to detect different modifiers related to clinical Entity and classify it into different categories.We have used Crf algorithm for classification and have obtained av- erage accuracy of 00% .And also tried to Find the boundary of this modifier using Crf algorithm,Binary SVM and rules based approached and obtained the accuracy of: 00 %,00% and 00% respectively | en_US |
| dc.publisher | Institute of Technology | en_US |
| dc.relation.ispartofseries | 13MCEI29; | - |
| dc.subject | Computer 2013 | en_US |
| dc.subject | Project Report 2013 | en_US |
| dc.subject | Computer Project Report | en_US |
| dc.subject | Project Report | en_US |
| dc.subject | 13MCEI | en_US |
| dc.subject | 13MCEI29 | en_US |
| dc.subject | INS | en_US |
| dc.subject | INS 2013 | en_US |
| dc.subject | CE (INS) | en_US |
| dc.title | Modifier Detection and Classification in Clinical Text | en_US |
| dc.type | Dissertation | en_US |
| Appears in Collections: | Dissertation, CE (INS) | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 13MCEI29.pdf | 13MCEI29 | 776.89 kB | Adobe PDF |  View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.