Research IT publications

Authorship in scholarly journals

2020-2021

  1. A new paradigm for accelerating clinical data science at Stanford Medicine, Datta S., Posada J. , Olson G., Li W., O'Reilly C., Balraj D., Mesterhazy J., Pallas J., Desai P., Shah N., https://arxiv.org/abs/2003.10534, Mar 2020 (link)
  2. High performance on-demand de-identification of a petabyte-scale medical imaging data lake, Mesterhazy J., Olson G.,Datta S., https://arxiv.org/abs/2008.01827, Aug 2020, (link)
  3. Integrating Flowsheet Data in OMOP Common Data Model for Clinical Research, Seto T, Sung L, Posada J, Desai P, Weber S, Datta S, arXiv:2109.08235v1 (link)
  4. A highly scalable repository of waveform and vital signs data from bedside monitoring devices, Malunjkar S, Weber S, Datta S, arXiv:2106.03965v1 (link)
  5. Benchmarking workflows to assess performance and suitability of germline variant calling pipelines in clinical diagnostic assays., Krishnan, V., Utiramerur, S., Ng, Z., Datta, S., Snyder, M. P., Ashley, E. A., BMC bioinformatics 2021; 22 (1): 85 (link)
  6. A scalable, secure, and interoperable platform for deep data-driven health management, Bahmani A, Alavi A, ..., Datta S, Li X & Snyder MP, Nature Communications volume 12, Article number: 5757 (2021), (link) 
  7. Integrating Adjuvant Analgesics into Perioperative Pain Practice: Results from an Academic Medical Center, Chin, K., Carroll, I., Desai, K., Asch, S., Seto, T., McDonald, K. M., Curtin, C., Hernandez-Boussard, T., PAIN MEDICINE, 2020; 21 (1): 161–70
  8. A framework for making predictive models useful in practice, Jung, K., Kashyap, S., Avati, A., Harman, S., Shaw, H., Li, R., Smith, M., Shum, K., Javitz, J., Vetteth, Y., Seto, T., Bagley, S. C., Shah, N. H., Journal of the American Medical Informatics Association : JAMIA, Journal of the American Medical Informatics Association, Volume 28, Issue 6, June 2021, Pages 1149–1158, https://doi.org/10.1093/jamia/ocaa318 (link)
  9. Learning from past respiratory infections to predict COVID-19 Outcomes: A retrospective study, Sang, S., Sun, R., Coquet, J., Carmichael, H., Seto, T., Hernandez-Boussard, T., Journal of Medical Internet Research, Vol 23, No 2, 2021 (link)
  10. Benchmark Method for Cost Computations across Healthcare Systems: Cost of Care per Patient per Day in Breast Cancer Care, Blayney, D. W., Seto, T., Hoang, N., Lindquist, C., Kurian, A. W., JCO Oncology Practice, Volume 17, Issue 10, 2021 (link)
  11. Severe acute respiratory coronavirus virus 2 (SARS-CoV-2) seroprevalence in healthcare personnel in northern California early in the coronavirus disease 2019 (COVID-19) pandemic,  Rosser J., ..., Martin A.,  ..., Stanford Healthcare COVID-19 Workforce Response Group,  Infect Control Hosp Epidemiol 2020 Dec 9;1-7(link)
  12. Development and validation of the Collaborative Health Outcomes Information Registry body map, Scherrer, K. H., Ziadni, M. S., Kong, J., Sturgeon, J. A., Salmasi, V., Hong, J., Cramer, E., Chen, A. L., Pacht, T., Olson, G., Darnall, B. D., Kao, M., Mackey, S., Pain reports 2021; 6 (1) (Link)
  13. Trove: Ontology-driven weak supervision for medical entity classification,  Fries, J.A., ..., Posada J.D., ..., Shah, N. arXiv:2008.01972  (link)
  14. Prediction of Major Depressive Disorder Following Beta-Blocker Therapy in Patients with Cardiovascular Diseases, Jin, S., ..., Posada J.D., ...,  You, S. C., J. Pers. Med. 2020, 10(4), 288;  (link)
  15. Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study, Burn E., ..., Posada J. D., ..., Ryan P., Nature Communications volume 11, 2020 (link)
  16. Heterogeneity and temporal variation in the management of COVID-19: a multinational drug utilization study including 71,921 hospitalized patients from China, South Korea, Spain, and the United States of America, Prats-Uribe, A., ..., Posada J.D., ..., Prieto-Alhambra, D.,  https://doi.org/10.1101/2020.09.15.20195545 (link)
  17. Characteristics and outcomes of 627 044 COVID-19 patients with and without obesity in the United States, Spain, and the United Kingdom, Recalde M., ...,  Posada J.D., ..., Duarte-Salles T.,  https://doi.org/10.1101/2020.09.02.20185173 (link)
  18. Characteristics, outcomes, and mortality amongst 133,589 patients with prevalent autoimmune diseases diagnosed with, and 48,418 hospitalised for COVID-19: a multinational distributed network cohort analysis, Tan E.H.,  ..., Posada J.D., ..., Prieto-Alhambra, D., doi: 10.1101/2020.11.24.20236802 (link)
  19. Use of dialysis, tracheostomy, and extracorporeal membrane oxygenation among 240,392 patients hospitalized with COVID-19 in the United States, Burn, E., ..., Posada J.D., ..., Duarte-Salles T.,  DOI: 10.1101/2020.11.25.20229088 (link)
  20. Baseline characteristics, management, and outcomes of 55,270 children and adolescents diagnosed with COVID-19 and 1,952,693 with influenza in France, Germany, Spain, South Korea and the United States: an international network cohort study, Duarte-Salles T., ..., Posada J.D., ..., Prieto-Alhambra, D., DOI: 10.1101/2020.10.29.20222083 (link)
  21. Baseline phenotype and 30-day outcomes of people tested for COVID-19: an international network cohort including >3.32 million people tested with real-time PCR and >219,000 tested positive for SARS-CoV-2 in South Korea, Spain and the United States, Golozar, A., ..., Posada J.D., ..., Prieto-Alhambra, D., doi: 10.1101/2020.10.25.20218875 (link)
  22. “Clinical characteristics, symptoms, management and health outcomes in 8,598 pregnant women diagnosed with COVID-19 compared to 27,510 with seasonal influenza in France, Spain and the US: a network cohort analysis”, Lai, L. Y. H., ..., Posada J.D., ..., Prieto-Alhambra, D.,  doi: https://doi.org/10.1101/2020.10.13.20211821 (link)
  23. An international characterisation of patients hospitalised with COVID-19 and a comparison with those previously hospitalised with influenza, Burns, E., ..., Posada J.D., ..., Ryans, P. , doi: 10.1101/2020.04.22.20074336 (link)

2018-2019

  1. Higher Absolute Lymphocyte Counts Predict Lower Mortality from Early-Stage Triple-Negative Breast Cancer. Clinical cancer research : an official journal of the American Association for Cancer Research, Afghahi, A., Purington, N., Han, S. S., Desai, M., Pierson, E., Mathur, M. B., Seto, T., Thompson, C. A., Rigdon, J., Telli, M. L., Badve, S. S., Curtis, C., West, R. B., Horst, K., Gomez, S. L., Ford, J. M., Sledge, G. W., Kurian, A. W., Clinical cancer research : an official journal of the American Association for Cancer Research 2018, doi: 10.1158/1078-0432.CCR-17-1323. (link)
  2. SciReader: A Cloud-based Recommender System for Biomedical Literature, Desai P., Telis N., Lehmann B., Bettinger K., Pritchard J. K., Datta S., doi: https://doi.org/10.1101/333922 (link)
  3. Utilization and effectiveness of multimodal discharge analgesia for postoperative pain management, Desai, K., Carroll, I., Asch, S., Seto, T., McDonald, K. M., Curtin, C., Hernandez-Boussard, T., Journal of Surgical Research 2018; 228.
  4. Architecture and implementation of a clinical research data warehouse for prostate cancer, Seneviratne, M., Seto, T., Blayney, D. W., Brooks, J. D., Hernandez-Boussard, T., EGEMS, 2018.
  5. Changes in Prostate Specific Antigen Screening and Prostate Cancer Diagnosis After Guideline Changes The Journal of Urology, Magnani, C. J., Li, K., Seto, T., McDonald, K. M., Blayney, D. W., Brooks, J. D., Hernandez-Boussard, T., 2018; 199 (4)
  6. Autoantibodies in chronic hepatitis C virus infection: impact on clinical outcomes and extrahepatic manifestations. BMJ open gastroenterology, Gilman, A. J., Le, A. K., Zhao, C., Hoang, J., Yasukawa, L. A., Weber, S. C., Vierling, J. M., Nguyen, M. H., 2018; 5 (1): e000203
  7. Rate of hepatocellular carcinoma surveillance remains low for a large, real-life cohort of patients with hepatitis C cirrhosis. BMJ open gastroenterology, Tran, S. A., Le, A., Zhao, C., Hoang, J., Yasukawa, L. A., Weber, S., Henry, L., Nguyen, M. H., 2018; 5 (1): e000192
  8. PSA Testing Use and Prostate Cancer Diagnostic Stage After the 2012 U.S. Preventive Services Task Force Guideline Changes. C. J., Li, K., Seto, T., McDonald, K. M., Blayney, D. W., Brooks, J. D., Hernandez-Boussard, T., Journal of the National Comprehensive Cancer Network, Magnani, 2019; 17 (7): 795–803 (link)
  9. Weakly supervised natural language processing for assessing patient-centered outcome following prostate cancer treatment. Banerjee, I., Li, K., Seneviratne, M., Ferrari, M., Seto, T., Brooks, J. D., Rubin, D. L., Hemandez-Boussard, T., JAMIA open, 2019; 2 (1): 150–59 (link)
  10. Genomic landscape of ductal carcinoma in situ and association with progression. Lin, C. Y., Vennam, S., Purington, N., Lin, E., Varma, S., Han, S., Desa, M., Seto, T., Wang, N. J., Stehr, H., Troxell, M. L., Kurian, A. W., West, R. B., Breast cancer research and treatment, 2019 (link)
  11. Distribution of Global Health Measures From Routinely Collected PROMIS Surveys in Patients With Breast Cancer or Prostate Cancer, Seneviratne, M. G., Bozkurt, S., Patel, M., Seto, T., Brooks, J. D., Blayney, D. W., Kurian, A. W., Hernandez-Boussard, T., CANCER 2019; 125 (6): 943–51
  12. Integrating Adjuvant Analgesics into Perioperative Pain Practice: Results from an Academic Medical Center., Chin, K., Carroll, I., Desai, K., Asch, S., Seto, T., McDonald, K. M., Curtin, C., Hernandez-Boussard, T., Pain medicine (Malden, Mass.), 2019 (link)
  13. Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation. The New England journal of medicine, Perez, M. V., Mahaffey, K. W., ..., Olson, G., Datta, S., ..., Martin, A., ..., Lorvidhaya, P., 2019; 381 (20): 1909–17 (Link)

2016-2017

  1. Synergistic drug combinations from electronic health records and gene expression. Journal of the American Medical Informatics Association,Low, Y. S., Daugherty, A. C., Schroeder, E. A., Chen, W., Seto, T., Weber, S., Lim, M., Hastie, T., Mathur, M., Desai, M., Farrington, C., Radin, A. A., Sirota, M., Kenkare, P., Thompson, C. A., Yu, P. P., Gomez, S. L., Sledge, G. W., Kurian, A. W., Shah, N. H., 2016
  2. Autoimmune Hemolytic Anemia Confers Risk of Thromboembolism That Is Not Attributable to Usual Thrombosis Risk Factors: A Longitudinal, Retrospective Cohort Study Using the "Stride" Database, Chen, E. C., Loftus, P. D., Weber, S. C., Hoang, N., Gilbert, J., Kummar, S., AMER SOC HEMATOLOGY. 2016
  3. LACTATION AND FUTURE CARDIOVASCULAR DISEASE IN WOMEN: AN UNDER APPRECIATED TARGET FOR PREVENTION
  4. Rajaei, S., Tsai, S. A., Rigdon, J., Weber, S., Mathur, M., Tremmel, J., ELSEVIER SCIENCE INC. 2016: 1859
  5. Text Message Intervention (TEACH) Improves Quality of Life and Patient Activation in Celiac Disease: A Randomized Clinical Trial, Haas K, Martin A, Park KT, J Pediatr. 2017 Jun;185:62-67.e2. doi: 10.1016/j.jpeds.2017.02.062. Epub 2017 Mar 23.
  6. HCV Prevalence in Asian Americans in California, Lin ON, Chang C, Lee J, Do A, Martin M, Martin A, Nguyen MH, J Immigr Minor Health. 2017 Feb;19(1):91-97. doi: 10.1007/s10903-016-0342-1.
  7. Regional right ventricular dysfunction in acute pulmonary embolism: relationship with clot burden and biomarker profile, Tuzovic M, Adigopula S, Amsallem M, Kobayashi Y, Kadoch M, Boulate D, Krishnan G, Liang D, Schnittger I, Fleischmann D, McConnell MV, Haddad F, Int J Cardiovasc Imaging. 2016 Mar;32(3):389-98. (link)
  8. Secure cloud computing for genomic data, Datta S, Bettinger K, Snyder M, Nature Biotechnology, 2016; 34 (6): 588-91. (link)
  9. Patient Outcomes when Housestaff Exceed 80 Hours per Week, Ouyang D, Chen JH, Krishnan G, Hom J, Witteles R, Chi J, Am J Med. 2016 Sep;129(9):993-999. (link)
  10. Use of Gene Expression Profiling and Chemotherapy in Early-Stage Breast Cancer: A Study of Linked Electronic Medical Records, Cancer Registry Data, and Genomic Data Across Two Health Care Systems., Afghahi A, Mathur M, Thompson CA, Mitani A, Rigdon J, Desai M, Yu PP, de Bruin MA, Seto T, Olson C, Kenkare P, Gomez SL, Das AK, Luft HS, Sledge GW Jr, Sing AP, Kurian AW, J Oncol Pract. 2016 Jun;12(6):e697-709. (link)
  11. Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information, Li X, Dunn J, Salins D, Zhou G, Zhou W, Schüssler-Fiorenza Rose SM, Perelman D, Colbert E, Runge R, Rego S, Sonecha R, Datta S, McLaughlin T, Snyder MP, PLoS Biology, January 12, 2017, https://doi.org/10.1371/journal.pbio.2001402. (link)
  12. Ethnic disparities in progression to advanced liver disease and overall survival in patients with chronic hepatitis C: impact of a sustained virological response, Le AK, Zhao C, Hoang JK, Tran SA, Chang CY, Jin M, Nguyen NH, Yasukawa LA, Zhang JQ, Weber SC, Garcia G, Nguyen MH, Aliment Pharmacol Ther. 2017 Sep;46(6):605-616. (link)
  13. HCV HBV Co-Infection Disproportionately Worsens Cirrhosis, Hepatic Decompensation, and Hepatocellular Carcinoma Incidence in Non-Asians as Compared to Asians, Mairin Joseph-Talreja, Nguyen P, Zhao C, Le AK, Hoang J, Yasukawa LA, Weber SC, Nguyen MH, Gastroenterology, April 2017 Volume 152, Issue 5, Supplement 1, Pages S1163–S1164. (link)
  14. Barriers to care for chronic hepatitis C in the direct-acting antiviral era: a single-centre experience. BMJ open gastroenterologyNguyen, P., Vutien, P., Hoang, J., Trinh, S., Le, A., Yasukawa, L. A., Weber, S., Henry, L., Nguyen, M. H.2017; 4 (1): e000181
  15. Cloud-based interactive analytics for terabytes of genomic variants data, Pan C., McInnes G, Deflaux N, Snyder MP, Bingham J, Datta S, Tsao PS, Bioinformatics, btx468, Jul 2017, https://doi.org/10.1093/bioinformatics/btx468. (link)
  16. A natural language processing algorithm to measure quality prostate cancer care. Hernandez-Boussard T, Kourdis P, Dulal R, Ferrari M, Henry S, Seto T, McDonald K, Blayney DW, Brooks JD, Journal of Clinical Oncology 35, no. 8_suppl (March 2017) 232-232. (link)
  17. Synergistic drug combinations from electronic health records and gene expression, Low YS, Daugherty AC, Schroeder EA, Chen W, Seto T, Weber S, Lim M, Hastie T, Mathur M, Desai M, Farrington C, Radin AA, Sirota M, Kenkare P, Thompson CA, Yu PP, Gomez SL, Sledge GW Jr, Kurian AW, Shah NH, J Am Med Inform Assoc. 2017 May 1;24(3):565-576. doi: 10.1093/jamia/ocw161. (link)
  18. Validation of the Alliance Sleep Questionnaire (ASQ) Obstructive Sleep Apnea (OSA) Module in Sleep Disordered Patients. Leary EB, Malunjkar S, Ruoff CM, Cheung J, Schneider L, Walsh JK, Mignot E. Sleep, June 2016, Vol. 39 (Abstract suppl.)

2014-2015

  1. Disease Risk Factors Identified Through Shared Genetic Architecture and Electronic Medical Records SCIENCE TRANSLATIONAL MEDICINELi, L., Ruau, D. J., Patel, C. J., Weber, S. C., Chen, R., Tatonetti, N. P., Dudley, J. T., Butte, A. J.2014; 6 (234)
  2. Cohort Discovery Query Optimization via Computable Controlled Vocabulary Versioning, Ferris TA, Podchiyska T, Stud Health Technol Inform. 2015;216:1084. (link)
  3. Stanford-NIH Pain Registry: Open source platform for large-scale longitudinal assessment of clinical data and patient-reported outcomes American Academy of Pain Medicine’s 30th Annual Meeting, Kao, M., Cook, K., Olson, G., Pacht, T., Darnall, B., Weber, S., Mackey, S., 2014
  4. Sequence to Medical Phenotypes: A Framework for Interpretation of Human Whole Genome DNA Sequence Data, Dewey FE, Grove ME, Priest JR, Waggott D, Batra P, Miller CL, Wheeler, M, Zia A, Pan C, Karzcewski KJ, Miyake C, Whirl-Carrillo M, Klein TE, Datta S, Altman RB, Snyder MP, Quertermous T, Ashley EA, PLOS GENETICS, 2015; 11 (10). (link)
  5. Breast cancer treatment across health care systems: linking electronic medical records and state registry data to enable outcomes research. Cancer, Kurian, A. W., Mitani, A., Desai, M., Yu, P. P., Seto, T., Weber, S. C., Olson, C., Kenkare, P., Gomez, S. L., de Bruin, M. A., Horst, K., Belkora, J., May, S. G., Frosch, D. L., Blayney, D. W., Luft, H. S., Das, A. K., 2014; 120 (1): 103-111
  6. Chromosomal copy number alterations for associations of ductal carcinoma in situ with invasive breast cancer., Afghahi A, Forgó E, Mitani AA, Desai M, Varma S, Seto T, Rigdon J, Jensen KC, Troxell ML, Gomez SL, Das AK, Beck AH, Kurian AW, West RB, Breast Cancer Res. 2015 Aug 13;17:108. doi: 10.1186/s13058-015-0623-y. (link)
  7. Validation of the Alliance Sleep Questionnaire (ASQ) Narcolepsy Module in Sleep Disordered Patients. Leary EB, Einen M, Malunjkar S, Ruoff CM, Walsh JK, Mignot E, Sleep, June 2014, Vol. 37 (Abstract suppl.) p. A360, #1026.
  8. Validation of the Alliance Sleep Questionnaire (ASQ) Restless Legs Syndrome Module in Sleep Disordered Patients, Leary EB, Malunjkar S, Ruoff CM, Walsh JK, Mignot E, Sleep, June 2015, Vol. 38 (Abstract suppl.) A432, #1219
  9. Differential Progression to Cirrhosis and Hepatic Decompensation in Asian Americans (AA) and Non-Asian (NA) Patients with Chronic Hepatitis C (CHC)
  10. Le, A. K., Nguyen, N. H., Zhao, C., Hoang, J. K., Chang, C. Y., Jin, M., Nguyen, P., Nguyen, P. T., Le, R. H., Jin, M. Q., Nguyen, L., Yasukawa, L., Zhang, J. Q., Weber, S. C., Nguyen, M. H., WILEY-BLACKWELL. 2015: 1110A–1111A
  11. Risk Differences of Hepatocellular Carcinoma (HCC) Among Patients with Chronic Hepatitis C (CHC) of Different Viral Genotypes: a Historical Cohort Study in the United States
  12. Jin, M., Zhao, C., Hoang, J. K., Nguyen, N. H., Le, A. K., Chang, C. Y., Le, R. H., Kutsenko, A., Yasukawa, L., Zhang, J. Q., Weber, S. C., Nguyen, M. H., WILEY-BLACKWELL. 2015: 392A
  13. Progression to liver cirrhosis in patients with chronic hepatitis C (CHC) in a large United States cohort: a natural history study, Nguyen, N. H., Hoang, J. K., Le, A. K., Zhao, C., Chang, C. Y., Le, R. H., Jin, M., Kutsenko, A., Yasukawa, L., Zhang, J. Q., Weber, S. C., Nguyen, M. H., WILEY-BLACKWELL. 2015: 1089A
  14. Higher Risk for Hepatocellular Carcinoma (HCC) in Asian Americans (AA) with Chronic Hepatitis C (CHC) compared to Non-Asians (NA), Regardless of Cirrhosis Status, Le, R. H., Nguyen, N. H., Hoang, J. K., Le, A. K., Nguyen, P. T., Zhao, C., Chang, C. Y., Jin, M., Jin, M. Q., Wong, K. N., Yasukawa, L., Zhang, J. Q., Weber, S. C., Nguyen, M. H., WILEY-BLACKWELL. 2015: 406A–407A

2012-2013

  1. Clinical Research Alerting for Early Septic Shock Detection 2012 Summit on Clinical Research Informatics, S. Weber, H. Lowe, S. Malunjkar, V. Ojha, R. Pearl, J. Quinn, 2012
  2. Oncoshare: Lessons learned from building an integrated multi-institutional database for comparative effectiveness research Proceedings of the AMIA 2012 Annual Symposium, SC Weber, T Seto, C Olson, P Kenkare, A Kurian, A Das, 2012
  3. A simple heuristic for blindfolded record linkage., Weber SC, Lowe HJ, Das A, Ferris TA, J Am Med Inform Assoc. 2012 Jun;19(e1):e157-61. (link)
  4. Systematic identification of risk factors for Alzheimer's disease through shared genetic architecture and electronic medical records. Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, Li, L., Ruau, D., Chen, R., Weber, S., Butte, A. J., 2013: 224-235
  5. Discordant aPTT and anti-Xa values and outcomes in hospitalized patients treated with intravenous unfractionated heparin, Price EA, Jin J, Nguyen HM, Krishnan G, Bowen R, Zehnder JL, Ann Pharmacother. 2013 Feb;47(2):151-8. (link)
  6. A social network of hospital acquired infection built from electronic medical record data, Cusumano-Towner M, Li DY, Tuo S, Krishnan G, Maslove DM, Am Med Inform Assoc. 2013 May 1;20(3):427-34. (link)
  7. Oncoshare: lessons learned from building an integrated multi-institutional database for comparative effectiveness research, Weber SC, Seto T, Olson C, Kenkare P, Kurian AW, Das AK, AMIA Annu Symp Proc. 2012;2012:970-8. Epub 2012 Nov 3. (link)
  8. Breast cancer treatment across health care systems: Linking electronic medical records and state registry data to enable outcomes research, 10.1002/cncr.28395. (link)
  9. Alliance Sleep Questionnaire (ASQ) Feasibility Pilot Study. Leary EB, Griffin KS, Malunjkar S, Qadri S, Ruoff CM, Sullivan SS, Walsh JK, Mignot E, Sleep, June 2012, Vol. 35 (Abstract suppl.), p.A432; #1282.
  10. Deployment of the Alliance Sleep Questionnaire (ASQ) at the Stanford Sleep Disorders Clinic (SSDC) as Standard of Care. Leary EB, Malunjkar S, Qadri S. Ruoff CM, Sullivan SS, Walsh JK, Mignot E, Sleep, June 2013, Vol. 36 (Abstract suppl.), p. A413, #1209.
  11. Row-Filtering with Dynamic SQL in Support of Compliant EHR Data Marts AMIA CRI Summit on Clinical Research Informatics, Weber, S., Srinivas, R., Zhou, V., Ferris, T., Lowe, H., 2013: 278

2010-2011

  1. STRIDE--An integrated standards-based translational research informatics platform., Lowe HJ, Ferris TA, Hernandez PM, Weber SC, AMIA Annu Symp Proc. 2009 Nov 14;2009:391-5. (link)
  2. Implementing a Real-time Complex Event Stream Processing System to Help Identify Potential Participants in Clinical and Translational Research Studies., Weber SC, Lowe HJ, Malunjkar S, Quinn J, AMIA Annu Symp Proc. 2010 Nov 13;2010:472-6. (link)
  3. Detecting drug interactions from adverse-event reports: interaction between paroxetine and pravastatin increases blood glucose levels., Tatonetti NP, Denny JC, Murphy SN, Fernald GH, Krishnan G, Castro V, Yue P, Tsao PS, Kohane I, Roden DM, Altman RB, Clin Pharmacol Ther. 2011 Jul;90(1):133-42. (link)
  4. Prolonged aPTT Relative to Anti-Xa Is Associated with Increased 30-Day Mortality in Hospitalized Patients Treated with Unfractionated Heparin, Jin J, Price E, Nguyen H, Krishnan G, Balise R, Bowen R AR, Zehnder JL, Blood 2011 118:1248. (link)
  5. Managing Medical Vocabulary Updates in a Clinical Data Warehouse: An RxNorm Case Study, Podchiyska T, Hernandez P, Ferris TA, Weber SC, Lowe HJ, AMIA Annu Symp Proc. 2010; 2010: 477–481. (link)
  6. Use of RxNorm and SNOMET-CT® to Support the Use of Medication Information in Research Patient Cohort Searching AMIA Annu Symp Proc, Hernandez P, Podchiyska T, Ferris TA, Weber S, Lowe HJ, 2011: 106
  7. Hash-Based Algorithmic Linkage of Patient Records in De-identified Multi-site Patient Research Registries AMIA Annu Symp Proc, Weber S, Lowe HJ, Olson G, Seto T, Ferris TA, Das A, Kurian A, Olson C, Kenkare P, 2011; CRI: 81
  8. A Model for Efficient Review of Clinical Data by Researchers within the STRIDE Clinical Data Warehouse AMIA Annu Symp Proc Lowe HJ, Weber S, Ramamoorthy N, Ferris TA, Hernandez P, 2011; CRI: 34

2008-2009

  1. Novel integration of hospital electronic medical records and gene expression measurements to identify genetic markers of maturation. Chen DP, Weber SC, Constantinou PS, Ferris TA, Lowe HJ, Butte AJ., Pac Symp Biocomput. 2008:243-54. (link)
  2. Clinical arrays of laboratory measures, or "clinarrays", built from an electronic health record enable disease subtyping by severity, Chen DP, Weber SC, Constantinou PS, Ferris TA, Lowe HJ, Butte AJ., AMIA Annu Symp Proc. 2007 Oct 11:115-9. (link)
  3. Automated Mapping of Pharmacy Orders from Two Electronic Health Record Systems to RxNorm within the STRIDE Clinical Data Warehouse, Hernandez P, Podchiyska T, Weber SC, Ferris TA, Lowe HJ, AMIA Annu Symp Proc. 2009; 2009: 244–248. (link)
  4. Using a statistical natural language Parser augmented with the UMLS specialist lexicon to assign SNOMED CT codes to anatomic sites and pathologic diagnoses in full text pathology reports., Lowe HJ, Huang Y, Regula DP, AMIA Annu Symp Proc. 2009 Nov 14;2009:386-90. (link)
  5. Managing Medical Vocabulary Updates in a Clinical Data Warehouse: An RxNorm Case Study., Podchiyska T, Hernandez P, Ferris T, Weber S, Lowe HJ, AMIA Annu Symp Proc. 2010 Nov 13;2010:477-81. (link)