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Yi, Y., Shen, Z., Bompelli, A., Yu, F., Wang, Y., Zhang, R., 2020. Natural Language Processing Methods to Extract Lifestyle Exposures for Alzheimer’s Disease from Clinical Notes. (IEEE ICHI). HealthNLP Workshop 2020

 

He, Z., Barrett, L. A., Rizvi, R., Tang, X., Payrovnaziri, S. N., Zhang, R., 2020. Assessing the Use and Perception of Dietary Supplements Among Obese Patients with National Health and Nutrition Examination Survey. AMIA Summits on Translational Science Proceedings, 2020 231.

 

Vasilakes, J., Rizvi, R., Terrence, A., R, Z., 2019. Detecting Signals of Dietary Supplement Adverse Events from the CFSAN Adverse Event Reporting System (CAERS). AMIA Informatics Summit

 

He, Z., Rizvi, R., Terrence, A., Zhang, R., 2019. Comparing the Study Populations in Dietary Supplement and Drug Clinical Trials for Metabolic Syndrome and Related Disorders. (in press). AMIA Informatics Summit,

 

Ma, S., Zhang, R., Shanahan, L., Munroe, J., Horn, S., Speedie, S., 2018. Estimating New York Heart Association Classification for Heart Failure Patients from Information in the Electronic Health Record.. IEEE International conference on Bioinformatics and Biomedicine

 

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Rizvi, R. F., Adam, T. J., Lindemann, E. A., Vasilakes, J., Pakhomov, S. V., Bishop, J. R., Melton, G. B., Zhang, R., 2018. Comparing Existing Resources to Represent Dietary Supplements. AMIA Summits on Translational Science Proceedings, 2017 207-216.

 

Fan, Y., Zhang, R., 2018. Using natural language processing methods to classify use status of dietary supplements in clinical notes. BMC medical informatics and decision making, 18 (Suppl 2): 51.

 

Zhang, R., Meng, J., Lian, Q., Chen, X., Bauman, B., Chu, H., Segura, B., Roy, S., 2018. Prescription opioids are associated with higher mortality in patients diagnosed with sepsis: A retrospective cohort study using electronic health records. PLoS ONE, 13 (1): e0190362.

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Vasilakes, J., Rizvi, R., Melton, G. B., Pakhomov, S., Zhang, R., 2018. Evaluating active learning methods for annotating semantic predications. JAMIA Open, 1 (2): 275--282.

 

Breitenstein, M. K., Liu, H., Maxwell, K. N., Pathak, J., Zhang, R., 2018. Electronic Health Record Phenotypes for Precision Medicine: Perspectives and Caveats from Treatment of Breast Cancer at a Single Institution. Clinical and Translational Science, 11 (1): 85-92.

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Zhang, R., Ma, S., Shanahan, L., Munroe, J., Horn, S., Speedie, S., 2018. Discovering and identifying New York heart association classification from electronic health records. BMC medical informatics and decision making, 18 (2): 48.

 

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Hultman, G., McEwan, R., Knoll, B., Zhang, R., Pakhomov, S., NLP-PIER 2.0: A Redesigned Clinical Document Search Interface for Researchers.. (AMIA Clinical Informatics).