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I. Sarkar · SciRah

Researcher profile · Semantic Scholar

I. Sarkar

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I. Sarkar — researcher profile on SciRah

h-index: 30
Works: 178
Citations: 2,983

Most-cited papers

Predicting Mortality in Diabetic ICU Patients Using Machine Learning and Severity Indices
Rajsavi Anand, P. Stey, Sukrit S. Jain, Dustin R. Biron +6 more
2018AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science53 citations
Semantic Scholar
Crossing the health IT chasm: considerations and policy recommendations to overcome current challenges and enable value-based care
Julia R. Adler-Milstein, P. Embí, Blackford Middleton, I. Sarkar +1 more
2017J. Am. Medical Informatics Assoc.51 citations Open access
Semantic Scholar
Automated Extraction of Substance Use Information from Clinical Texts
Yan Wang, Elizabeth S. Chen, S. Pakhomov, E. Arsoniadis +4 more
2015American Medical Informatics Association Annual Symposium51 citations
Semantic Scholar
Adverse events following mRNA SARS-CoV-2 vaccination among U.S. nursing home residents
Barbara H. Bardenheier, S. Gravenstein, Carolyn Blackman, R. Gutman +6 more
2021Vaccine49 citations Open access
Semantic Scholar
Geospatial and Temporal Analysis of Thyroid Cancer Incidence in a Rural Population
J. P. Hanley, E. Jackson, L. Morrissey, D. Rizzo +3 more
2015Thyroid37 citations Open access
Semantic Scholar
A Cross-Species Analysis of Animal Models for the Investigation of Preterm Birth Mechanisms
B. Nielsen, E. Bonney, B. Pearce, L. Donahue +1 more
2016Reproductive Sciences34 citations Open access
Semantic Scholar
Towards the Standardized Documentation of E-Cigarette Use in the Electronic Health Record for Population Health Surveillance and Research
T. Winden, Elizabeth S. Chen, Yan Wang, I. Sarkar +2 more
2015AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science34 citations
Semantic Scholar
Protein-Metabolite Association Studies Identify Novel Proteomic Determinants of Metabolite Levels in Human Plasma
M. Benson, A. Eisman, U. Tahir, Daniel H. Katz +36 more
2023Cell Metabolism29 citations Open access
Semantic Scholar
Mining the electronic health record for disease knowledge.
Elizabeth S. Chen, I. Sarkar
2014Methods in molecular biology29 citations
Semantic Scholar
IDENTIFYING COMPLEMENTARY AND ALTERNATIVE MEDICINE USAGE INFORMATION FROM INTERNET RESOURCES: A SYSTEMATIC REVIEW
Vivekanand Sharma, J. Holmes, I. Sarkar
2016Methods of Information in Medicine27 citations Open access
Semantic Scholar
Transforming Health Data to Actionable Information: Recent Progress and Future Opportunities in Health Information Exchange
I. Sarkar
2022Yearbook of Medical Informatics26 citations Open access
Semantic Scholar
Examining the Use, Contents, and Quality of Free-Text Tobacco Use Documentation in the Electronic Health Record
Elizabeth S. Chen, E. W. Carter, I. Sarkar, T. Winden +1 more
2014American Medical Informatics Association Annual Symposium24 citations
Semantic Scholar
Adverse Events Following One Dose of mRNA COVID-19 Vaccination among U.S. Nursing Home Residents with and without a Previous SARS-CoV-2 Infection
Barbara H. Bardenheier, S. Gravenstein, Carolyn Blackman, R. Gutman +7 more
2021Journal of the American Medical Directors Association22 citations Open access
Semantic Scholar
Health Information Exchange in Emergency Medical Services
Thomas J. Martin, M. Ranney, J. Dorroh, Nicholas Asselin +1 more
2018Applied Clinical Informatics22 citations Open access
Semantic Scholar
Machine Learning Offers Exciting Potential for Predicting Postprocedural Outcomes: A Framework for Developing Random Forest Models in IR
I. Sinha, D. Aluthge, Elizabeth S. Chen, I. Sarkar +1 more
2020Journal of Vascular and Interventional Radiology20 citations Open access
Semantic Scholar
LYRUS: a machine learning model for predicting the pathogenicity of missense variants
Jia-Ying Lai, Jordan Yang, E. G. Gamsiz Uzun, B. Rubenstein +1 more
2021bioRxiv17 citations Open access
Semantic Scholar
Using the Montreal Cognitive Assessment to identify individuals with subtle cognitive decline
T. Cersonsky, Shanti Mechery, Matthew M. Carper, L. Thompson +4 more
2022Neuropsychology16 citations Open access
Semantic Scholar
Identifying Herbal Adverse Events From Spontaneous Reporting Systems Using Taxonomic Name Resolution Approach
Vivekanand Sharma, L. F. F. Gelin, I. Sarkar
2020Bioinformatics and Biology Insights14 citations Open access
Semantic Scholar
Quality Informatics: The Convergence of Healthcare Data, Analytics, and Clinical Excellence
N. Coppersmith, I. Sarkar, Elizabeth S. Chen
2019Applied Clinical Informatics14 citations Open access
Semantic Scholar
Racial Representation Disparity of Population-Level Genomic Sequencing Efforts
Isaac E. Kim, I. Sarkar
2019Medinfo14 citations Open access
Semantic Scholar
Multi-source development of an integrated model for family health history
Elizabeth S. Chen, E. W. Carter, T. Winden, I. Sarkar +2 more
2015J. Am. Medical Informatics Assoc.13 citations Open access
Semantic Scholar
Using Demographic Factors and Comorbidities to Develop a Predictive Model for ICU Mortality in Patients with Acute Exacerbation COPD
Sukrit S. Jain, I. Sarkar, P. Stey, Rajsavi Anand +2 more
2018American Medical Informatics Association Annual Symposium12 citations
Semantic Scholar
Reimagining the research-practice relationship: policy recommendations for informatics-enabled evidence-generation across the US health system
P. Embí, Rachel L. Richesson, J. Tenenbaum, J. Kannry +3 more
2019JAMIA Open11 citations Open access
Semantic Scholar
Discussion of “The New Role of Biomedical Informatics in the Age of Digital Medicine”
N. Al-Shorbaji, R. Bellazzi, F. B. D. de Quirós, S. Koch +7 more
2016Methods of Information in Medicine11 citations Open access
Semantic Scholar
Methods in biomedical informatics : a pragmatic approach
I. Sarkar
201410 citations
Semantic Scholar
Real-Time Emergency Department Electronic Notifications Regarding High-Risk Patients: A Systematic Review
Hannah J. Kimmel, Yanick N. Brice, T. Trikalinos, I. Sarkar +1 more
2019Telemedicine journal and e-health9 citations Open access
Semantic Scholar
Methods Open – A New Journal Track Starting in 2017
S. Koch, R. Haux, O. Gefeller, I. Sarkar +1 more
2016Methods of Information in Medicine9 citations Open access
Semantic Scholar
Prevention of treatment-related fluid overload reduces estimated effective cost of prothrombin complex concentrate in patients requiring rapid vitamin K antagonist reversal
Christopher A Jones, Katrina Ducis, J. Petrozzino, E. Clark +8 more
2016Expert review of pharmacoeconomics & outcomes research9 citations
Semantic Scholar
Representation of Drug Use in Biomedical Standards, Clinical Text, and Research Measures
E. W. Carter, I. Sarkar, G. Melton, Elizabeth S. Chen
2015American Medical Informatics Association Annual Symposium9 citations
Semantic Scholar
Adverse Events Following Third Dose of mRNA COVID-19 Vaccination among Nursing Home Residents Who Received the Primary Series
Barbara H. Bardenheier, Elizabeth M. White, Carolyn Blackman, S. Gravenstein +7 more
2022Journal of The American Geriatrics Society8 citations Open access
Semantic Scholar
Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures
A. Eisman, Nishant R. Shah, Carsten Eickhoff, George Zerveas +3 more
2020American Medical Informatics Association Annual Symposium8 citations
Semantic Scholar
Solr-Plant: efficient extraction of plant names from text
Vivekanand Sharma, M. I. Restrepo, I. Sarkar
2019BMC Bioinformatics8 citations Open access
Semantic Scholar
Using Unsupervised Clustering to Identify Pregnancy Co-Morbidities.
Jonathan Chang, I. Sarkar
2019AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science8 citations
Semantic Scholar
Trend Analysis of Aggregate Outcomes in Complex Health Survey Data
Wesley M. Durand, P. Stey, Elizabeth S. Chen, I. Sarkar
2018AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science8 citations
Semantic Scholar
Identifying natural health product and dietary supplement information within adverse event reporting systems
Vivekanand Sharma, I. Sarkar
2018Pacific Symposium on Biocomputing8 citations Open access
Semantic Scholar
Harnessing Biomedical Natural Language Processing Tools to Identify Medicinal Plant Knowledge from Historical Texts
Vivekanand Sharma, W. Law, M. Balick, I. Sarkar
2017American Medical Informatics Association Annual Symposium8 citations
Semantic Scholar
Developing new pathways into the biomedical informatics field: the AMIA High School Scholars Program
K. Unertl, John T. Finnell, I. Sarkar
2016J. Am. Medical Informatics Assoc.8 citations Open access
Semantic Scholar
An Intersectional Approach to Cervical Cancer Screening Disparities by Race/Ethnicity and Immigrant Status
Jane J. Chen, I. Sarkar, E. Hsu, D. Dizon
2023Journal of Women's Health7 citations
Semantic Scholar
Harnessing next-generation informatics for personalizing medicine: a report from AMIA's 2014 Health Policy Invitational Meeting
L. K. Wiley, P. Tarczy-Hornoch, J. Denny, R. Freimuth +4 more
2016J. Am. Medical Informatics Assoc.7 citations Open access
Semantic Scholar
Coding Free-Text Chief Complaints from a Health Information Exchange: A Preliminary Study
Sotiris Karagounis, I. Sarkar, Elizabeth S. Chen
2020American Medical Informatics Association Annual Symposium6 citations
Semantic Scholar
*informatics: Identifying and Tracking Informatics Sub-Discipline Terms in the Literature
Elizabeth S. Chen, I. Sarkar
2015Methods of Information in Medicine6 citations
Semantic Scholar
Using Arden Syntax to Identify Registry-Eligible Very Low Birth Weight Neonates from the Electronic Health Record
I. Sarkar, Elizabeth S. Chen, Paul T. Rosenau, Matt Storer +2 more
2014American Medical Informatics Association Annual Symposium6 citations
Semantic Scholar
Characterizing Suicidal Ideation, Suicidal Behaviors, and Service Utilization Among Unhoused Individuals Using a Health Information Exchange
Zandra V. Ho, Sarah A. Arias, Zachary J. Kunicki, I. Sarkar +1 more
2023Journal of Clinical Psychology5 citations Open access
Semantic Scholar
Statewide evaluation of COVID-19 vaccine hesitancy in Rhode Island
B. Rogers, J. Tao, Alexi Almonte, Emily Toma +7 more
2022PLoS ONE5 citations Open access
Semantic Scholar
Predicting open wound mortality in the ICU using machine learning
Ronald K Akiki, Rajsavi Anand, M. Borrelli, I. Sarkar +2 more
2021Journal of Emergency and Critical Care Medicine5 citations Open access
Semantic Scholar
Applying FAIR Principles to Improve Data Searchability of Emergency Department Datasets: A Case Study for HCUP-SEDD
Karishma Bhatia, James Tanch, Elizabeth S. Chen, I. Sarkar
2020Methods of Information in Medicine5 citations
Semantic Scholar
Mining and Visualizing Family History Associations in the Electronic Health Record: A Case Study for Pediatric Asthma
Elizabeth S. Chen, G. Melton, R. Wasserman, Paul T. Rosenau +2 more
2015American Medical Informatics Association Annual Symposium5 citations
Semantic Scholar
An Unsupervised Cluster Analysis of Post-COVID-19 Mental Health Outcomes and Associated Comorbidities
K. Brown, I. Sarkar, Karen E. Crowley, D. Aluthge +1 more
2022American Medical Informatics Association Annual Symposium4 citations
Semantic Scholar
Predictive Modeling of Spontaneous Preterm Birth Using Machine Learning [36C]
S. Guang, I. Sarkar, E. Werner
2019Obstetrics and Gynecology4 citations
Semantic Scholar
Today’s data for tomorrow’s knowledge
I. Sarkar
2019JAMIA Open4 citations Open access
Semantic Scholar

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