Postdoctoral, Stanford University, Biomedical Informatics (2007) PhD, The Pennsylvania State University, Molecular Medicine (2005) MBBS, Baroda Medical College, Medicine (1999)

The use of machine learning for the identification of peripheral artery disease and future mortality risk. Journal of vascular surgeryRoss, E. G., Shah, N. H., Dalman, R. L., Nead, K. T., Cooke, J. P., Leeper, N. J.2016; 64 (5): 1515-1522 e3 Influence of age on androgen deprivation therapy-associated Alzheimer's disease SCIENTIFIC REPORTSNead, K. T., Gaskin, G., Chester, C., Swisher-McClure, S., Dudley, J. T., Leeper, N. J., Shah, N. H.2016; 6 Impact of Predicting Health Care Utilization Via Web Search Behavior: A Data-Driven Analysis JOURNAL OF MEDICAL INTERNET RESEARCHAgarwal, V., Zhang, L., Zhu, J., Fang, S., Cheng, T., Hong, C., Shah, N. H.2016; 18 (9): 241-253 Reply to R.L. Bowen et al, M. Froehner et al, J.L. Leow et al, and C. Brady et al. Journal of clinical oncologyNead, K. T., Gaskin, G., Chester, C., Swisher-McClure, S., Dudley, J. T., Leeper, N. J., Shah, N. H.2016; 34 (23): 2804-2805 Characterizing treatment pathways at scale using the OHDSI network PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICAHripcsak, G., Ryan, P. B., Duke, J. D., Shah, N. H., Park, R. W., Huser, V., Suchard, M. A., Schuemie, M. J., DeFalco, F. J., Perotte, A., Banda, J. M., Reich, C. G., Schilling, L. M., Matheny, M. E., Meeker, D., Pratt, N., Madigan, D.2016; 113 (27): 7329-7336 Generalized enrichment analysis improves the detection of adverse drug events from the biomedical literature BMC BIOINFORMATICSWinnenburg, R., Shah, N. H.2016; 17 Predictive modeling of risk factors and complications of cataract surgery. European journal of ophthalmologyGaskin, G. L., Pershing, S., Cole, T. S., Shah, N. H.2016; 26 (4): 328-337 Statin Intensity or Achieved LDL? Practice-based Evidence for the Evaluation of New Cholesterol Treatment Guidelines PLOS ONERoss, E. G., Shah, N., Leeper, N.2016; 11 (5) Learning statistical models of phenotypes using noisy labeled training data. Journal of the American Medical Informatics AssociationAgarwal, V., Podchiyska, T., Banda, J. M., Goel, V., Leung, T. I., Minty, E. P., Sweeney, T. E., Gyang, E., Shah, N. H.2016: -? Postmarket Surveillance of Point-of-Care Glucose Meters through Analysis of Electronic Medical Records CLINICAL CHEMISTRYSchroeder, L. F., Giacherio, D., Gianchandani, R., Engoren, M., Shah, N. H.2016; 62 (5): 716-724