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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Maskery, S. Zhang, Y. Jordan, R. Hu, H. Shriver, C. Hooke, J. Liebman, M. |
| Copyright Year | 2005 |
| Description | Author affiliation: Windber Res. Inst., PA, USA (Maskery, S.; Zhang, Y.; Jordan, R.; Hu, H.) |
| Abstract | Breast cancer presents as part of a heterogeneous mix of breast disease pathologies whose biological origins are poorly understood. A systematic and quantitative study of heterogeneity in breast tissue would enable us to characterize the disease states present, and use that characterization to guide further research into the complex pathologic associations within breast tissue and between patients. Initially we focus on characterizing the co-occurrence of breast pathology-related diagnoses. In particular, this abstract presents our initial results from characterizing the co-occurrence of double and triple diagnoses. We will expand this analysis to co-occurrence of larger diagnosis sets. Additionally, we plan to analyze co-occurrence with other types of patient information, including: socio-economic status, family history, lifestyle choices, co-morbidity with other diseases, and many other factors hypothesized to contribute to an increased risk for developing breast cancer. |
| Sponsorship | IEEE Comput. Soc. Tech. Comm. on Comput. Medicine (TCCM) Trinity Coll. Dublin, Dept. of Comput. Sci. Sci. Found. Ireland |
| Starting Page | 395 |
| Ending Page | 400 |
| File Size | 541453 |
| Page Count | 6 |
| File Format | |
| ISBN | 0769523552 |
| ISSN | 10637125 |
| DOI | 10.1109/CBMS.2005.16 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-06-23 |
| Publisher Place | Ireland |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Breast tissue Breast cancer Lesions Diseases Pathology Genomics Bioinformatics Proteomics Medical diagnostic imaging Data warehouses |
| Content Type | Text |
| Resource Type | Article |
| Subject | Radiology, Nuclear Medicine and Imaging Computer Science Applications |
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