Rule-based response assessment framework
Abstract/Contents
- Abstract
- The Rule-Based Response Assessment Framework is a goal-driven, context-driven, and knowledge-based temporal interpretation framework that automates response assessment over clinical data. The goal of this work is to enable consistent application of standardized response criteria for clinical trial data analysis, and to enable research and development of response criteria. The Rule-Based Response Assessment Framework defines the dimensions of response assessment including the knowledge and tasks required to apply response criteria to patient data. The Framework consists of several knowledge models and several sub-methods that make up the Response Assessment Method. The framework is implemented using ontologies and rules with the semantic web formalisms of OWL and SWRL respectively. The framework is applied to two response criteria in the oncology domain and one response criterion for rheumatoid arthritis. I demonstrate that the implementation of the Rule-Based Response Assessment Framework is extensible, reusable and enables consistent application of response criteria to patient data and comparison of response criteria within a clinical domain. Future research directions will incorporate the Rule-Based Response Assessment Framework into a larger informatics infrastructure for application and development of oncology response criteria.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Copyright date | 2011 |
| Publication date | 2011; 2010 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Levy, Mia Alyce | |
|---|---|---|
| Associated with | Stanford University, Department of Biomedical Informatics. | |
| Primary advisor | Das, Amar K. (Amar Kumar) | |
| Primary advisor | Rubin, Daniel (Daniel L.) | |
| Thesis advisor | Das, Amar K. (Amar Kumar) | |
| Thesis advisor | Rubin, Daniel (Daniel L.) | |
| Thesis advisor | Fagan, Lawrence Marvin | |
| Advisor | Fagan, Lawrence Marvin |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Mia Alyce Levy. |
|---|---|
| Note | Submitted to the Department of Biomedical Informatics. |
| Thesis | Ph.D. Stanford University 2011 |
| Location | electronic resource |
Access conditions
- Copyright
- © 2011 by Mia Alyce Levy MD
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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