- SeaWAS: Season Wide Association Study (for high-throughput birth seasonality analysis)
- OHDSI Formatted Scripts:
- MR Boland, Z Shahn, D Madigan, G Hripcsak, NP Tatonetti. Birth Month Affects Lifetime Disease Risk: A Phenome-Wide Method. Journal of the American Medical Informatics Association, 2015; 22(5):1042-1053.
- MR Boland, P Parhi, R Miotto, R Carroll, U Iqbal, P-A Nguyen, M Schuemie, SC You, D Smith, S Mooney, P Ryan, Y-C Li, RW Park, J Denny, JT Dudley, G Hripcsak, P Gentine, NP Tatonetti. Uncovering Exposures Responsible for Birth Season – Disease Effects: A Global Study. J Am Med Inform Assoc. 2018; 25(3): 275-288.
- CAESAR: Classification Approach for Extracting Severity Automatically from Electronic Health Records (CAESAR)
- Instructions for Manual Annotators and Annotation Set
- Manual Gold Standard of 516 Conditions
- Predictions of Condition Severity for All Conditions with at least 1000 patients at Columbia University Medical Center
- MR Boland, NP Tatonetti, G Hripcsak. Development and Validation of a Classification Approach for Extracting Severity Automatically from Electronic Health Records. Journal of Biomedical Semantics, 2015; 6(14). Highly Accessed.
- Eligibility Feature Hierarchy
- Feature Hierarchy on Bioportal
- MR Boland, R Miotto, J Gao, C Weng. Feasibility of feature-based indexing, clustering, and search of clinical trials: A case study of breast cancer trials from ClinicalTrials.gov. Methods of Information in Medicine, 2013; 52(5): 382-394. [Bioportal: Feature Hierarchy]
- Feature Hierarchy on Bioportal
- Links to Code and Datasets Are Currently Being Added