Rashmee U. Shah
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Rashmee U. Shah, MD, MS

Languages spoken: English

Dr. Rashmee Shah is an Assistant Professor in Cardiovascular Medicine at the University of Utah School of Medicine. Dr. Shah’s research focuses on clinical applications of data science, machine learning, and natural language processing. Specifically, her current projects focus on: 1) phenotyping atrial fibrillation patients using natural language processing and big data analyses 2) predicting readmission after acute myocardial infarction with machine learning methods, incorporating socioeconomic status 3) predicting complications following cardiac surgery using neural networks, incorporating functional status derived using an ontology. The overall goal of Dr. Shah's work is to find the right treatments for the right patients, and maximize benefit while minimizing harm.

Dr. Shah's research has been published in high impact journals, including the Journal of the American College of Cardiology and JAMA Network Open. She served as the Chair of the Young Clinicians and Investigators Committee, a part of the Council on Quality of Care and Outcomes, American Heart Association. Dr. Shah participates on the Research and Publications committees of the NCDR (National Cardiovascular Data Registry), the Informatics and Health IT Task Force, and Cardiovascular Diseases in Women Committee of the American College of Cardiology. Dr. Shah is the recipient of several honors, including membership in the Alpha Omega Alpha Honor Medical Society, the American Heart Association Excellence in Training Award, and research support from the National Institutes of Health.

Finally, a key goal for Dr. Shah is to increase the presence of women in leadership and authority roles in cardiovascular medicine. She supports this goal through speaking engagements as well as an editorial published in JAMA Cardiology.

Dr. Shah received her medical degree at the Tufts University School of Medicine, where she graduated with honors. She completed Internal Medicine Residency at Northwestern University and then went on to complete a postdoctoral fellowship and Master’s degree in Health Services Research at Stanford University. Dr. Shah completed her cardiology training at Cedars-Sinai Medical Center and the University of Pittsburgh. She has also received a Certificate in Biomedical Informatics at the University of Utah. Her clinical interests include echocardiography, acute cardiac care, and data and information systems to improve health care outcomes.

Rashmee U. Shah, MD MS is an Assistant Professor in Cardiovascular Medicine in the Department of Internal Medicine at the University of Utah School of Medicine. She has been on tenure track faculty at the University of Utah since 2014.

Nationally, she chairs the Young Investigators Committee and is on the Leadership Council for the American Heart Association Council on Quality of Care and Outcomes Research. Cardiology Today recently named her a “NextGen Innovator.” She is the recipient of grant support from the National Heart, Lung, and Blood Institute and is focused on practical applications of data science. Specifically, she is developing a clinically useful tool for information extraction from the electronic health record, focused on patient safety.

Specialties

Board Certification

American Board of Internal Medicine (Internal Medicine)
Certification Board of Cardiovascular Computed Tomography
American Board of Internal Medicine (Sub: Cardiovascular Disease)
National Board of Echocardiography

Dr. Rashmee Shah is an Assistant Professor in Cardiovascular Medicine at the University of Utah School of Medicine. Dr. Shah’s research focuses on clinical applications of data science, machine learning, and natural language processing. Specifically, her current projects focus on: 1) phenotyping atrial fibrillation patients using natural language processing and big data analyses 2) predicting readmission after acute myocardial infarction with machine learning methods, incorporating socioeconomic status 3) predicting complications following cardiac surgery using neural networks, incorporating functional status derived using an ontology. The overall goal of Dr. Shah's work is to find the right treatments for the right patients, and maximize benefit while minimizing harm.

Dr. Shah's research has been published in high impact journals, including the Journal of the American College of Cardiology and JAMA Network Open. She served as the Chair of the Young Clinicians and Investigators Committee, a part of the Council on Quality of Care and Outcomes, American Heart Association. Dr. Shah participates on the Research and Publications committees of the NCDR (National Cardiovascular Data Registry), the Informatics and Health IT Task Force, and Cardiovascular Diseases in Women Committee of the American College of Cardiology. Dr. Shah is the recipient of several honors, including membership in the Alpha Omega Alpha Honor Medical Society, the American Heart Association Excellence in Training Award, and research support from the National Institutes of Health.

Finally, a key goal for Dr. Shah is to increase the presence of women in leadership and authority roles in cardiovascular medicine. She supports this goal through speaking engagements as well as an editorial published in JAMA Cardiology.

Dr. Shah received her medical degree at the Tufts University School of Medicine, where she graduated with honors. She completed Internal Medicine Residency at Northwestern University and then went on to complete a postdoctoral fellowship and Master’s degree in Health Services Research at Stanford University. Dr. Shah completed her cardiology training at Cedars-Sinai Medical Center and the University of Pittsburgh. She has also received a Certificate in Biomedical Informatics at the University of Utah. Her clinical interests include echocardiography, acute cardiac care, and data and information systems to improve health care outcomes.

Rashmee U. Shah, MD MS is an Assistant Professor in Cardiovascular Medicine in the Department of Internal Medicine at the University of Utah School of Medicine. She has been on tenure track faculty at the University of Utah since 2014.

Nationally, she chairs the Young Investigators Committee and is on the Leadership Council for the American Heart Association Council on Quality of Care and Outcomes Research. Cardiology Today recently named her a “NextGen Innovator.” She is the recipient of grant support from the National Heart, Lung, and Blood Institute and is focused on practical applications of data science. Specifically, she is developing a clinically useful tool for information extraction from the electronic health record, focused on patient safety.

Board Certification and Academic Information

Academic Departments Internal Medicine -Adjunct Associate Professor
Academic Divisions Cardiovascular Medicine
Board Certification
American Board of Internal Medicine (Internal Medicine)
Certification Board of Cardiovascular Computed Tomography
American Board of Internal Medicine (Sub: Cardiovascular Disease)
National Board of Echocardiography

Education history

Undergraduate Environmental Sciences - Northwestern University B.A.
Professional Medical Medicine - Tufts University School of Medicine M.D.
Residency Internal Medicine - Northwestern University/Jesse Brown VA Hospital Resident
Postdoctoral Fellowship Health Research & Policy - Stanford University Postdoctoral Fellow
Graduate Training Health Services Research - Stanford University M.S.
Fellowship Cardiology - Cedars Sinai Medical Center/GLA VA Medical Center Fellow
Fellowship Cardiology - University of Pittsburgh Medical Center Fellow
Certification Biomedical Informatics - University of Utah Certificate

Selected Publications

Journal Article

  1. Sutton NR, Li S, Thomas L, Wang TY, de Lemos JA, Enriquez JR, Shah RU, Fonarow GC (2016). The association of left ventricular ejection fraction with clinical outcomes after myocardial infarction: Findings from the Acute Coronary Treatment and Intervention Outcomes Network (ACTION) Registry-Get With the Guidelines (GWTG) Medicare-linked database. Am Heart J, 178, 65-73.
  2. Steinberg BA, Li Z, Shrader P, Chew DS, Bunch TJ, Mark DB, Nabutovsky Y, Shah RU, Greiner MA, Piccini JP (2021). Clinical Investigations Bimodal Distribution of Atrial Fibrillation Burden in 3 Distinct Cohorts: What is 'Paroxysmal' Atrial Fibrillation? Am Heart J, 244, 149-156.
  3. Kazi DS, Garber AM, Shah RU, Dudley RA, Mell MW, Rhee C, Moshkevich S, Boothroyd DB, Owens DK, Hlatky M (2014). Cost-effectiveness of genotype-guided and dual antiplatelet therapies in acute coronary syndrome. Annals of internal medicine, 160(4), 221-32.
  4. Reimer JR, Ahmed SM, Brintz BJ, Shah RU, Keegan LT, Ferrari MJ, Leung D (2021). The Effects of Using a Clinical Prediction Rule to Prioritize Diagnostic Testing on Transmission and Hospital Burden: A Modeling Example of Early Severe Acute Respiratory Syndrome Coronavirus 2. Clinical infectious diseases, 73(10), 1822-1830.
  5. Mathews R, Wang W, Kaltenbach LA, Thomas L, Shah RU, Ali M, Peterson ED, Wang T (2018). Hospital Variation in Adherence Rates to Secondary Prevention Medications and the Implications on Quality. Circulation, 137(20), 2128-2138.
  6. Shah R (2020). We Don't Need More Data, We Need the Right Data. Circulation, 142(3), 197-198.
  7. Humphries KH, Izadnegahdar M, Sedlak T, Saw J, Johnston N, Schenck-Gustafsson K, Shah RU, Regitz-Zagrosek V, Grewal J, Vaccarino V, Wei J, Bairey Merz C (2017). Sex differences in cardiovascular disease - Impact on care and outcomes. Frontiers in neuroendocrinology, 46, 46-70.
  8. Shah RU, Winkleby MA, Van Horn L, Phillips LS, Eaton CB, Martin LW, Rosal MC, Manson JE, Ning H, Lloyd-Jones DM, Klein (2011). Education, income, and incident heart failure in post-menopausal women: the Women's Health Initiative Hormone Therapy Trials. Journal of the American College of Cardiology, 58(14), 1457-64.
  9. Shah RU, Freeman JV, Shilane D, Wang PJ, Go AS, Hlatky M (2012). Procedural complications, rehospitalizations, and repeat procedures after catheter ablation for atrial fibrillation. Journal of the American College of Cardiology, 59(2), 143-9.
  10. Pepine CJ, Ferdinand KC, Shaw LJ, Light-McGroary KA, Shah RU, Gulati M, Duvernoy C, Walsh MN, Bairey Merz CN, ACC CVD in Women Committee (2015). Emergence of Nonobstructive Coronary Artery Disease: A Woman's Problem and Need for Change in Definition on Angiography. Journal of the American College of Cardiology, 66(17), 1918-33.
  11. Shah RU, de Lemos JA, Wang TY, Chen AY, Thomas L, Sutton NR, Fang JC, Scirica BM, Henry TD, Granger C (2016). Post-Hospital Outcomes of Patients With Acute Myocardial Infarction With Cardiogenic Shock: Findings From the NCDR. Journal of the American College of Cardiology, 67(7), 739-47.
  12. Park K, Bairey Merz CN, Bello NA, Davis M, Duvernoy C, Elgendy IY, Ferdinand KC, Hameed A, Itchhaporia D, Minissian MB, Reynolds H, Mehta P, Russo AM, Shah RU, Volgman AS, Wei J, Wenger NK, Pepine CJ, Lindley KJ, American College of Cardiology Cardiovascular Disease in Women Committee and the Cardio-Obstetrics Work Group (2021). Management of Women With Acquired Cardiovascular Disease From Pre-Conception Through Pregnancy and Postpartum: JACC Focus Seminar 3/5. Journal of the American College of Cardiology, 77(14), 1799-1812.
  13. Shao Y, Cheng Y, Shah RU, Weir CR, Bray BE, Zeng-Treitler (2021). Shedding Light on the Black Box: Explaining Deep Neural Network Prediction of Clinical Outcomes. Journal of medical systems, 45(1), 5.
  14. Shah RU, Rupp AB, Mowery D, Zhang M, Stoddard G, Deshmukh V, Bray BE, Hess R, Rondina M (2016). Changes in Oral Anticoagulant Treatment Rates in Atrial Fibrillation before and after the Introduction of Direct Oral Anticoagulants. Neuroepidemiology, 47(3-4), 201-209.
  15. King JB, Shah RU, Sainski-Nguyen A, Biskupiak J, Munger MA, Bress A (2017). Effect of Inpatient Dobutamine versus Milrinone on Out-of-Hospital Mortality in Patients with Acute Decompensated Heart Failure. Pharmacotherapy, 37(6), 662-672.
  16. Ahmed SM, Shah RU, Fernandez V, Grineski S, Brintz B, Samore MH, Ferrari MJ, Leung DT, Keegan L (2021). Robust Testing in Outpatient Settings to Explore COVID-19 Epidemiology: Disparities in Race/Ethnicity and Age, Salt Lake County, Utah, 2020. Public health reports (Washington, D.C., 136(3), 345-353.
  17. Steinberg BA, Turner J, Lyons A, Biber J, Chelu MG, Fang JC, Freedman RA, Han FT, Hardisty B, Marrouche NF, Ranjan R, Shah RU, Spertus JA, Stehlik J, Zenger B, Piccini JP, Hess (2020). Systematic collection of patient-reported outcomes in atrial fibrillation: feasibility and initial results of the Utah mEVAL AF programme. Europace, 22(3), 368-374.
  18. Reeves RM, Christensen L, Brown JR, Conway M, Levis M, Gobbel GT, Shah RU, Goodrich C, Ricket I, Minter F, Bohm A, Bray BE, Matheny ME, Chapman (2021). Adaptation of an NLP system to a new healthcare environment to identify social determinants of health. Journal of biomedical informatics, 120, 103851.
  19. Shao Y, Mohanty AF, Ahmed A, Weir CR, Bray BE, Shah RU, Redd D, Zeng-Treitler (2017). Identification and Use of Frailty Indicators from Text to Examine Associations with Clinical Outcomes Among Patients with Heart Failure. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2016, 1110-1118.
  20. Shah RU, Chang TI, Fonarow G (2013). Comparative effectiveness research in heart failure therapies: women, elderly patients, and patients with kidney disease. Heart failure clinics, 9(1), 79-92.
  21. Zenger B, Swink JM, Turner JL, Bunch TJ, Ryan JJ, Shah RU, Turakhia MP, Piccini JP, Steinberg B (2020). Social Media Influence Does Not Reflect Scholarly or Clinical Activity in Real Life. Circulation. Arrhythmia and electrophysiology, 13(11), e008847.
  22. Shah RU, Henry TD, Rutten-Ramos S, Garberich RF, Tighiouart M, Bairey Merz C (2015). Increasing percutaneous coronary interventions for ST-segment elevation myocardial infarction in the United States: progress and opportunity. JACC. Cardiovascular interventions, 8(1 Pt B), 139-146.
  23. Shah RU, Tsai V, Klein L, Heidenreich P (2011). Characteristics and outcomes of very elderly patients after first hospitalization for heart failure. Circulation. Heart failure, 4(3), 301-7.
  24. Simons CT, Cipriano LE, Shah RU, Garber AM, Owens DK, Hlatky M (2013). Transcatheter aortic valve replacement in nonsurgical candidates with severe, symptomatic aortic stenosis: a cost-effectiveness analysis. Circulation. Cardiovascular quality and outcomes, 6(4), 419-28.
  25. Shah RU, Curtis L (2020). Data Quarantine in the Time of the COVID-19 Pandemic. Circulation. Cardiovascular quality and outcomes, 13(6), e006908.
  26. Shah RU, Mutharasan RK, Ahmad FS, Rosenblatt AG, Gay HC, Steinberg BA, Yandell M, Tristani-Firouzi M, Klewer J, Mukherjee R, Lloyd-Jones D (2020). Development of a Portable Tool to Identify Patients With Atrial Fibrillation Using Clinical Notes From the Electronic Medical Record. Circulation. Cardiovascular quality and outcomes, 13(10), e006516.
  27. Rumsfeld JS, Shah RU, Druz R (2020). Innovation in Cardiology: The ACC Innovation Program. Methodist DeBakey cardiovascular journal, 16(4), 304-308.
  28. Doing-Harris K, Bray BE, Thackeray A, Shah RU, Shao Y, Cheng Y, Zeng-Treitler Q, Garvin JH, Weir (2019). Development of a cardiac-centered frailty ontology. Journal of biomedical semantics, 10(1), 3.
  29. Bradley SM, Emmons-Bell S, Mutharasan RK, Rodriguez F, Gupta D, Roth G, Gluckman TJ, Shah RU, Wang TY, Khera R, Peterson PN, Das (2021). Repeated cross-sectional analysis of hydroxychloroquine deimplementation in the AHA COVID-19 CVD Registry. Scientific reports, 11(1), 15097.
  30. Chamberlain AM, Gong Y, Shaw KM, Bian J, Song WL, Linton MF, Fonseca V, Price-Haywood E, Guhl E, King JB, Shah RU, Puro J, Shenkman E, Pawloski PA, Margolis KL, Hernandez AF, Cooper-DeHoff R (2019). PCSK9 Inhibitor Use in the Real World: Data From the National Patient-Centered Research Network. Journal of the American Heart Association, 8(9), e011246.
  31. Owlia M, Dodson JA, King JB, Derington CG, Herrick JS, Sedlis SP, Crook J, DuVall SL, LaFleur J, Nelson R, Patterson OV, Shah RU, Bress A (2019). Angina Severity, Mortality, and Healthcare Utilization Among Veterans With Stable Angina. Journal of the American Heart Association, 8(15), e012811.
  32. Shah RU, Mukherjee R, Zhang Y, Jones AE, Springer J, Hackett I, Steinberg BA, Lloyd-Jones DM, Chapman W (2020). Impact of Different Electronic Cohort Definitions to Identify Patients With Atrial Fibrillation From the Electronic Medical Record. Journal of the American Heart Association, 9(5), e014527.
  33. King JB, Shah RU, Bress AP, Nelson RE, Bellows B (2016). Cost-Effectiveness of Sacubitril-Valsartan Combination Therapy Compared With Enalapril for the Treatment of Heart Failure With Reduced Ejection Fraction. JACC. Heart failure, 4(5), 392-402.
  34. Shah R (2018). The $2.5 Million Dollar Wage Gap in Cardiology. JAMA cardiology, 3(8), 674-676.
  35. Wohlfahrt P, Nativi-Nicolau J, Zhang M, Selzman CH, Greene T, Conte J, Biber JE, Hess R, Mondesir FL, Wever-Pinzon O, Drakos SG, Gilbert EM, Kemeyou L, LaSalle B, Steinberg BA, Shah RU, Fang JC, Spertus JA, Stehlik (2021). Quality of Life in Patients With Heart Failure With Recovered Ejection Fraction. JAMA cardiology, 6(8), 957-962.
  36. Goyal N, Herrick JS, Son S, Metz TD, Shah R (2021). Maternal cardiovascular complications at the time of delivery and subsequent re-hospitalization in the USA, 2010-16. European heart journal. Quality of care & clinical outcomes, 7(3), 304-311.
  37. Selker HP, Kwong M, Ruthazer R, Gorman S, Green G, Patchen E, Udelson JE, Smithline HA, Baumann MR, Harris PA, Shah RU, Nelson SJ, Cohen T, Jones EB, Barnewolt BA, Williams A (2018). An example of medical device-based projection of clinical trial enrollment: Use of electrocardiographic data to identify candidates for a trial in acute coronary syndromes. Journal of clinical and translational science, 2(6), 377-383.
  38. Ko BS, Drakos SG, Welt FGP, Shah R (2016). Controversies and Challenges in the Management of ST-Elevation Myocardial Infarction Complicated by Cardiogenic Shock. Interventional cardiology clinics, 5(4), 541-549.
  39. Sturm RC, Jones TL, Youngquist ST, Shah R (2021). Regional Systems of Care in ST Elevation Myocardial Infarction. Interventional cardiology clinics, 10(3), 281-291.
  40. Walker AL, Sorensen T, Gabriel PP, Sledge T, Morshedzadeh JH, Owan T, Shah R (2018). Ticagrelor Use in Acute Myocardial Infarction: Balancing Evidence-Based Medicine with Affordability. Journal of the American College of Clinical Pharmacy, 1(2), 58-61.
  41. Taggart M, Chapman WW, Steinberg BA, Ruckel S, Pregenzer-Wenzler A, Du Y, Ferraro J, Bucher BT, Lloyd-Jones DM, Rondina MT, Shah R (2018). Comparison of 2 Natural Language Processing Methods for Identification of Bleeding Among Critically Ill Patients. JAMA network open, 1(6), e183451.
  42. Turner JL, Lyons A, Shah RU, Zenger B, Hess R, Steinberg B (2020). Accuracy of Patient Identification of Electrocardiogram-Verified Atrial Arrhythmias. JAMA network open, 3(5), e205431.
  43. Crabb BT, Lyons A, Bale M, Martin V, Berger B, Mann S, West WB Jr, Brown A, Peacock JB, Leung DT, Shah R (2020). Comparison of International Classification of Diseases and Related Health Problems, Tenth Revision Codes With Electronic Medical Records Among Patients With Symptoms of Coronavirus Disease 2019. JAMA network open, 3(8), e2017703.
  44. Matheny ME, Ricket I, Goodrich CA, Shah RU, Stabler ME, Perkins AM, Dorn C, Denton J, Bray BE, Gouripeddi R, Higgins J, Chapman WW, MacKenzie TA, Brown J (2021). Development of Electronic Health Record-Based Prediction Models for 30-Day Readmission Risk Among Patients Hospitalized for Acute Myocardial Infarction. JAMA network open, 4(1), e2035782.
  45. Wang L, Nielsen K, Goldberg J, Brown JR, Rumsfeld JS, Steinberg BA, Zhang Y, Matheny ME, Shah R (2021). Association of Wearable Device Use With Pulse Rate and Health Care Use in Adults With Atrial Fibrillation. JAMA network open, 4(5), e215821.
  46. Brown JR, Ricket IM, Reeves RM, Shah RU, Goodrich CA, Gobbel G, Stabler ME, Perkins AM, Minter F, Cox KC, Dorn C, Denton J, Bray BE, Gouripeddi R, Higgins J, Chapman WW, MacKenzie T, Matheny M (2022). Information Extraction From Electronic Health Records to Predict Readmission Following Acute Myocardial Infarction: Does Natural Language Processing Using Clinical Notes Improve Prediction of Readmission?. Journal of the American Heart Association, 11(7), e024198.
  47. Shah KS, Reyes-Miranda AE, Bradley SM, Breathett K, Das SR, Gluckman TJ, Gupta D, Leung DT, Mutharasan RK, Peterson PN, Spivak ES, Shah R (2022). Clinical Trial Participation and COVID-19: a Descriptive Analysis from the American Heart Association's Get With The Guidelines Registry. Journal of racial and ethnic health disparities,
  48. Jacobs JA, Shah RU, Bress A (2022). Asymptomatic hypertension in the hospital setting: primum non nocere. Journal of human hypertension, 36(9), 781-784.
  49. Weso'owski S, Lemmon G, Hernandez EJ, Henrie A, Miller TA, Weyhrauch D, Puchalski MD, Bray BE, Shah RU, Deshmukh VG, Delaney R, Yostl HJ, Eilbeck K, Tristani-Firouzi M, Yandell (2022). An explainable artificial intelligence approach for predicting cardiovascular outcomes using electronic health records. PLOS digital health, 1(1),

Review

  1. AlBadri A, Wei J, Mehta PK, Shah R, Herscovici R, Gulati M, Shufelt C, Bairey Merz (2017). Sex differences in coronary heart disease risk factors: rename it ischaemic heart disease!. Heart (British Cardiac Society), 103(20), 1567-1568.
  2. Shah RU, Klein L, Lloyd-Jones D (2009). Heart failure in women: epidemiology, biology and treatment. Women's health (London, England), 5(5), 517-27.
  3. Johnson AE, Brewer LC, Echols MR, Mazimba S, Shah RU, Breathett (2022). Utilizing Artificial Intelligence to Enhance Health Equity Among Patients with Heart Failure. Heart failure clinics, 18(2), 259-273.
  4. Aggarwal N, Ahmed M, Basu S, Curtin JJ, Evans BJ, Matheny ME, Nundy S, Sendak MP, Shachar C, Shah RU, Thadaney-Israni (2020). Advancing Artificial Intelligence in Health Settings Outside the Hospital and Clinic. NAM perspectives, 2020,

Book Chapter

  1. Shah RU, Lloyd-Jones D (2013). Heart Failure.

Editorial

  1. Shah RU, Merz CN (2015). Publicly Available Data: Crowd Sourcing to Identify and Reduce Disparities. Journal of the American College of Cardiology, 66(18), 1973-1975.
  2. Rumsfeld JS, Shah R (2019). Roadmap for the Digital Transformation of Healthcare: Lead, Facilitate and Partner https://www.medaxiom.com/blog/roadmap-for-the-digital-transformation-of-healthcare-lead-facilitate-and-partner/.
  3. Wang L, Selzman KA, Shah R (2019). Peri-procedural complications in women: an alarming and consistent trend. 40(36), 3044-3045.
  4. Shah RU, Matheny M (2018). Data and Information in the Sea of Electronic Health Records. 11(12), e005247.
  5. Shah RU, Rumsfeld J (2017). Big Data in Cardiology. 38(24), 1865-1867.
  6. Shah RU, Bress AP, Vickers A (2022). Do Prediction Models Do More Harm Than Good?. Circulation. Cardiovascular quality and outcomes, 15(4), e008667.

Letter

  1. Zheutlin AR, Caldwell DJ, Al Danaf J, Shah RU (2021). Prevalence of control groups in cardiovascular clinical trials: An analysis of ClinicalTrials.gov from 2009 through 2019. [Letter to the editor]. Am Heart J, 234, 133-135.
  2. Shah RU, Stehlik J, Drakos SG, Fang J (2015). Administrative data: proceed with caution. Journal of the American College of Cardiology, 65(10), 1063.
  3. Yin MY, Tandar A, Sharma V, Glotzbach JP, Shah RU, Dranow E, Tseliou E, Fang JC, Drakos SG, Welt FG (2020). Left Ventricular Hemodynamic Changes During Transcatheter Aortic Valve Replacement Assessed by Real-Time Pressure-Volume Loops. JACC. Cardiovascular interventions, 13(18), 2190-2192.
  4. Abedin Z, Hoerner R, Habboushe J, Lu Y, Kawamoto K, Warner PB, Shields DE, Shah R (2020). Implementation of a Fast Healthcare Interoperability Resources-Based Clinical Decision Support Tool for Calculating CHA2DS2-VASc Scores. Circulation. Cardiovascular quality and outcomes, 13(2), e006286.

Abstract

  1. Shah RU, Shao Y, Doing-Harris K, Weir C, Cheng Y, Bray B, Zeng (2018). Frailty and Cardiovascular Surgery, Deep Neural Network versus Support Vector Machine to Predict Death. Journal of the American College of Cardiology, 71(11), A1357.
  2. Turner JL,Hardisty BE, Kaur G, Shah RU, Chelu MG, Han FT, Marrouche NF, Steinberg B (2018). Accuracy of Patient Identification of Atrial Fibrillation in the Clinic Setting. Circulation. Cardiovascular quality and outcomes, 11(Suppl 1),
  3. Taggart M, Chapman WW, Steinberg BA, Ruckel S, Pregenzer-Wenzler A, Du Y, Ferraro J, Bucher BT, Lloyd-Jones DM, Rondina MT, Shah R (2018). Development and Comparison of Two Natural Language Processing Methods for Identifying Bleeding Events in Clinical Text. Circulation. Cardiovascular quality and outcomes, 11(Suppl 1),
  4. Migotsky S, Kazi DS, Spivak ES, Shah SU, Shah R (2018). Age-Related Practice and Outcome Patterns in Infective Endocarditis in the National Readmissions Database, 2010-2015. Circulation. Cardiovascular quality and outcomes, 11(Suppl 1),

Other

  1. Reimer JR, Ahmed SM, Brintz B, Shah RU, Keegan LT, Ferrari MJ, Leung D (2020). Modeling reductions in SARS-CoV-2 transmission and hospital burden achieved by prioritizing testing using a clinical prediction rule. https://doi.org/10.1101/2020.07.07.20148510,

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