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Office
1 Gustave L Levy Pl
Division Of Nephrology Box 1243
New York, NY 10029Phone+1 212-659-8554- Is this information wrong?
Education & Training
Rutgers Health/Robert Wood Johnson Medical SchoolResidency, Internal Medicine, 2011 - 2014
Drexel University College of MedicineClass of 2011
Certifications & Licensure
NY State Medical License 2014 - 2026
NJ State Medical License 2012 - 2016- American Board of Internal Medicine Internal Medicine
- American Board of Internal Medicine Nephrology
- American Board of Internal MedicineNephrology
Publications & Presentations
PubMed
- Comparison of predicting cardiovascular disease hospitalization using individual, ZIP code-derived, and machine learning model-predicted educational attainment in New ...Takkavatakarn, K., Dai, Y., Hsun Wen, H., Kauffman, J., Charney, A., Coca, S., Nadkarni, G., Chan, L.> ;Plos One. 2024 Jan 1
- Machine learning models to predict end-stage kidney disease in chronic kidney disease stage 4.Takkavatakarn, K., Oh, W., Cheng, E., Nadkarni, G., Chan, L.> ;BMC Nephrology. 2023 Dec 19
- Development and Validation of a Formative Assessment Tool for Nephrology Fellows' Clinical Reasoning.Suzanne M Boyle, James Martindale, Andrew S Parsons, Stephen M Sozio, Rachel Hilburg, Jehan Bahrainwala, Lili Chan, Lauren D Stern, Karen M Warburton> ;Clinical Journal of the American Society of Nephrology. 2023 Oct 18
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Press Mentions
Researchers Create Machine Learning Model to Predict Treatment with Dialysis or Death for Hospitalized COVID-19 PatientsMay 28th, 2021
COVID-19: The Kidneys Tell a TaleDecember 17th, 2020- Machine-Learning Tool May Help Predict Acute Kidney Injury in Patients with COVID-19November 16th, 2020
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Hospital Affiliations
The Mount Sinai HospitalNew York, New York
Mount Sinai Beth IsraelNew York, New York
Mount Sinai WestNew York, New York
Mount Sinai MorningsideNew York, New York
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