Co-Occurrence Analysis for Discovery of Novel Breast Cancer Pathology Patterns
| Autor: | S. Maskery, Michael N. Liebman, Hai Hu, Jeffrey A. Hooke, Craig D. Shriver, Rick Jordan, Yonghong Zhang |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
Pathology
medicine.medical_specialty Jaccard index Biopsy Population Information Storage and Retrieval Breast Neoplasms Genomics Bioinformatics Sensitivity and Specificity Health informatics Pattern Recognition Automated User-Computer Interface Breast cancer Artificial Intelligence Image Interpretation Computer-Assisted Cluster Analysis Humans Medicine Electrical and Electronic Engineering education Retrospective Studies education.field_of_study Postmenopausal women business.industry Co-occurrence Reproducibility of Results General Medicine Image Enhancement medicine.disease Computer Science Applications Data set Female business Algorithms Biotechnology |
| Zdroj: | IEEE Transactions on Information Technology in Biomedicine. 10:497-503 |
| ISSN: | 1089-7771 |
| DOI: | 10.1109/titb.2005.863863 |
| Popis: | To discover novel patterns in pathology co-occurrence, we have developed algorithms to analyze and visualize pathology co-occurrence. With access to a database of pathology reports, collected under a single protocol and reviewed by a single pathologist, we can conduct an analysis greater in its scope than previous studies looking at breast pathology co-occurrence. Because this data set is unique, specialized methods for pathology co-occurrence analysis and visualization are developed. Primary analysis is through a co-occurrence score based on the Jaccard coefficient. Density maps are used to visualize global co-occurrence. When our co-occurrence analysis is applied to a population stratified by menopausal status, we can successfully identify statistically significant differences in pathology co-occurrence patterns between premenopausal and postmenopausal women. Genomic and proteomic experiments are planned to discover biological mechanisms that may underpin differences seen in pathology patterns between populations. |
| Databáze: | OpenAIRE |
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