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Kipp W. Johnson · SciRah

Researcher profile · Semantic Scholar

Kipp W. Johnson

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Kipp W. Johnson — researcher profile on SciRah

h-index: 34
Works: 98
Citations: 6,474

Most-cited papers

Artificial Intelligence in Cardiology.
Kipp W. Johnson, Jessica Torres Soto, Benjamin S. Glicksberg, K. Shameer +4 more
2018Journal of the American College of Cardiology808 citations Open access
Semantic Scholar
Prevalence and Impact of Myocardial Injury in Patients Hospitalized With COVID-19 Infection
A. Lala, Kipp W. Johnson, J. Januzzi, Adam Russak +18 more
2020Journal of the American College of Cardiology673 citations Open access
Semantic Scholar
Machine learning in cardiovascular medicine: are we there yet?
K. Shameer, Kipp W. Johnson, Benjamin S. Glicksberg, J. Dudley +1 more
2018Heart481 citations
Semantic Scholar
Machine learning prediction in cardiovascular diseases: a meta-analysis
C. Krittanawong, H. H. Virk, S. Bangalore, Zhen Wang +9 more
2020Scientific Reports440 citations Open access
Semantic Scholar
Deep learning for cardiovascular medicine: a practical primer.
C. Krittanawong, Kipp W. Johnson, Robert S. Rosenson, Zhen Wang +6 more
2019European Heart Journal387 citations Open access
Semantic Scholar
Pathology of Peripheral Artery Disease in Patients With Critical Limb Ischemia.
N. Narula, A. Dannenberg, J. Olin, Deepak L. Bhatt +10 more
2018Journal of the American College of Cardiology285 citations Open access
Semantic Scholar
Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network
S. Raghunath, Alvaro E. Ulloa Cerna, Linyuan Jing, David P. vanMaanen +18 more
2019Nature Medicine259 citations Open access
Semantic Scholar
Deep Neural Networks Can Predict New-Onset Atrial Fibrillation From the 12-Lead ECG and Help Identify Those at Risk of Atrial Fibrillation–Related Stroke
S. Raghunath, John M. Pfeifer, Alvaro E Ulloa-Cerna, Arun Nemani +18 more
2021Circulation253 citations Open access
Semantic Scholar
Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist
P. Sengupta, S. Shrestha, B. Berthon, E. Messas +20 more
2020JACC Cardiovascular Imaging210 citations Open access
Semantic Scholar
Integration of novel monitoring devices with machine learning technology for scalable cardiovascular management
C. Krittanawong, A. Rogers, Kipp W. Johnson, Zhen Wang +3 more
2020Nature Reviews Cardiology200 citations Open access
Semantic Scholar
Federated Learning of Electronic Health Records to Improve Mortality Prediction in Hospitalized Patients With COVID-19: Machine Learning Approach
Akhil Vaid, S. Jaladanki, Jie Xu, Shelly Teng +19 more
2020JMIR Medical Informatics184 citations Open access
Semantic Scholar
PREDICTIVE MODELING OF HOSPITAL READMISSION RATES USING ELECTRONIC MEDICAL RECORD-WIDE MACHINE LEARNING: A CASE-STUDY USING MOUNT SINAI HEART FAILURE COHORT
K. Shameer, Kipp W. Johnson, Alexandre Yahi, R. Miotto +13 more
2017Pacific Symposium on Biocomputing159 citations Open access
Semantic Scholar
Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation
Akhil Vaid, Sulaiman S. Somani, Adam Russak, J. D. De Freitas +44 more
2020Journal of Medical Internet Research158 citations Open access
Semantic Scholar
Artificial intelligence in gastroenterology: A state-of-the-art review
P. Kröner, Megan M. L. Engels, B. Glicksberg, Kipp W. Johnson +5 more
2021World Journal of Gastroenterology147 citations Open access
Semantic Scholar
Using deep learning algorithms to simultaneously identify right and left ventricular dysfunction from the electrocardiogram
Akhil Vaid, Kipp W. Johnson, Marcus A. Badgeley, Sulaiman S. Somani +15 more
2021medRxiv119 citations Open access
Semantic Scholar
Clinical Characteristics of Hospitalized Covid-19 Patients in New York City
Ishan Paranjpe, Adam Russak, J. D. De Freitas, A. Lala +39 more
2020medRxiv100 citations Open access
Semantic Scholar
Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning
K. Shameer, B. Glicksberg, R. Hodos, Kipp W. Johnson +9 more
2017Briefings Bioinform.93 citations Open access
Semantic Scholar
Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney Injury.
Kumardeep Chaudhary, Akhil Vaid, Á. Duffy, Ishan Paranjpe +14 more
2020American Society of Nephrology. Clinical Journal89 citations Open access
Semantic Scholar
Integrating blockchain technology with artificial intelligence for cardiovascular medicine
C. Krittanawong, A. Rogers, M. Aydar, Edward Choi +3 more
2019Nature Reviews Cardiology85 citations Open access
Semantic Scholar
Intracoronary Imaging, Cholesterol Efflux, and Transcriptomes After Intensive Statin Treatment: The YELLOW II Study.
A. Kini, Y. Vengrenyuk, K. Shameer, A. Maehara +19 more
2017Journal of the American College of Cardiology84 citations Open access
Semantic Scholar
Enabling Precision Cardiology Through Multiscale Biology and Systems Medicine
Kipp W. Johnson, K. Shameer, B. Glicksberg, B. Readhead +4 more
2017JACC: Basic to Translational Science84 citations Open access
Semantic Scholar
Automated disease cohort selection using word embeddings from Electronic Health Records
B. Glicksberg, R. Miotto, Kipp W. Johnson, K. Shameer +3 more
2018Pacific Symposium on Biocomputing81 citations Open access
Semantic Scholar
The next generation of precision medicine: observational studies, electronic health records, biobanks and continuous monitoring.
Benjamin S. Glicksberg, Kipp W. Johnson, J. Dudley
2018Human Molecular Genetics72 citations
Semantic Scholar
Association of Hemoglobin A1c Levels With Use of Sulfonylureas, Dipeptidyl Peptidase 4 Inhibitors, and Thiazolidinediones in Patients With Type 2 Diabetes Treated With Metformin
R. Vashisht, Kenneth Jung, Alejandro Schuler, J. Banda +19 more
2018JAMA Network Open65 citations Open access
Semantic Scholar
Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19
Akhil Vaid, S. Jaladanki, Jie Xu, Shelly Teng +19 more
2020medRxiv61 citations Open access
Semantic Scholar
Sepsis in the era of data-driven medicine: personalizing risks, diagnoses, treatments and prognoses
Andrew Liu, K. Patel, Ramya Vunikili, Kipp W. Johnson +11 more
2019Briefings Bioinform.58 citations Open access
Semantic Scholar
Conditions and Factors Associated With Spontaneous Coronary Artery Dissection (from a National Population-Based Cohort Study).
C. Krittanawong, Anirudh Kumar, Kipp W. Johnson, Yi-Ming Luo +3 more
2019American Journal of Cardiology57 citations
Semantic Scholar
Artificial Intelligence and Cardiovascular Genetics
C. Krittanawong, Kipp W. Johnson, E. Choi, Scott L. Kaplin +7 more
2022Life44 citations Open access
Semantic Scholar
PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model
B. Glicksberg, B. Oskotsky, P. Thangaraj, Nicholas P. Giangreco +18 more
2019Bioinform.43 citations Open access
Semantic Scholar
Medical student preparedness for an era of personalized medicine: findings from one US medical school
C. Eden, Kipp W. Johnson, O. Gottesman, E. Bottinger +1 more
2016Personalized Medicine43 citations Open access
Semantic Scholar
Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records
J. D. De Freitas, Kipp W. Johnson, Eddye Golden, Girish N. Nadkarni +4 more
2020medRxiv42 citations Open access
Semantic Scholar
Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City
Ishan Paranjpe, Adam Russak, J. D. De Freitas, A. Lala +40 more
2020BMJ Open41 citations Open access
Semantic Scholar
Machine Learning to Predict Mortality and Critical Events in COVID-19 Positive New York City Patients: A Cohort Study
Akhil Vaid, Sulaiman S. Somani, Adam Russak, J. D. De Freitas +44 more
202038 citations
Semantic Scholar
Machine Learning to Predict Mortality and Critical Events in COVID-19 Positive New York City Patients
Akhil Vaid, Sulaiman S. Somani, Adam Russak, J. D. De Freitas +45 more
2020medRxiv36 citations Open access
Semantic Scholar
Genome Sequences of the Primary Endosymbiont “Candidatus Portiera aleyrodidarum” in the Whitefly Bemisia tabaci B and Q Biotypes
Zi-Feng Jiang, F. Xia, Kipp W. Johnson, E. Bartom +6 more
2012Journal of Bacteriology34 citations Open access
Semantic Scholar
How artificial intelligence could redefine clinical trials in cardiovascular medicine: lessons learned from oncology.
C. Krittanawong, Kipp W. Johnson, W. Tang
2019Personalized Medicine29 citations
Semantic Scholar
Comparison of the Genome Sequences of “Candidatus Portiera aleyrodidarum” Primary Endosymbionts of the Whitefly Bemisia tabaci B and Q Biotypes
Zi-Feng Jiang, Fangfang Xia, Kipp W. Johnson, Christopher D. Brown +7 more
2013Applied and Environmental Microbiology29 citations Open access
Semantic Scholar
Big data, artificial intelligence, and cardiovascular precision medicine
C. Krittanawong, Kipp W. Johnson, S. Hershman, W. H. Wilson Tang
2018Expert Review of Precision Medicine and Drug Development27 citations
Semantic Scholar
Incidence and aetiology of bacterial meningitis among children aged 1-59 months in South Asia: systematic review and meta-analysis.
Mohsin Ali, Brian A. Chang, Kipp W. Johnson, S. Morris
2018Vaccine27 citations
Semantic Scholar
Molecular Imaging of Apoptosis in Atherosclerosis by Targeting Cell Membrane Phospholipid Asymmetry
F. Chaudhry, H. Kawai, Kipp W. Johnson, N. Narula +16 more
2020Journal of the American College of Cardiology24 citations Open access
Semantic Scholar
Prevalence and Impact of Myocardial Injury in Patients Hospitalized with COVID-19 Infection
A. Lala, Kipp W. Johnson, Adam Russak, Ishan Paranjpe +17 more
2020medRxiv24 citations Open access
Semantic Scholar
Association of Reduced Hospitalizations and Mortality Rates Among COVID-19-Vaccinated Patients With Heart Failure
Kipp W. Johnson, Sonika A. Patel, S. Thapi, S. Jaladanki +3 more
2022Journal of Cardiac Failure23 citations Open access
Semantic Scholar
Machine Learning Applications in the Neuro ICU: A Solution to Big Data Mayhem?
F. Chaudhry, Rachel J. Hunt, P. Hariharan, S. Anand +7 more
2020Frontiers in Neurology23 citations Open access
Semantic Scholar
Machine Learning in Cardiology—Ensuring Clinical Impact Lives Up to the Hype
Adam Russak, F. Chaudhry, J. D. De Freitas, Garrett Baron +14 more
2020Journal of Cardiovascular Pharmacology and Therapeutics22 citations
Semantic Scholar
Causal inference on electronic health records to assess blood pressure treatment targets: an application of the parametric g formula
Kipp W. Johnson, B. Glicksberg, R. Hodos, K. Shameer +1 more
2018Pacific Symposium on Biocomputing20 citations Open access
Semantic Scholar
The whole is greater than the sum of its parts: combining classical statistical and machine intelligence methods in medicine
K. Shameer, Kipp W. Johnson, B. Glicksberg, J. Dudley +1 more
2018Heart19 citations
Semantic Scholar
Clinical features and prognosis of patients with spontaneous coronary artery dissection.
C. Krittanawong, Anirudh Kumar, Zhen Wang, Kipp W. Johnson +4 more
2020International Journal of Cardiology18 citations
Semantic Scholar
Recurrent spontaneous coronary artery dissection in the United States.
C. Krittanawong, Anirudh Kumar, H. H. Virk, Zhen Wang +3 more
2019International Journal of Cardiology18 citations
Semantic Scholar
Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining
K. Shameer, M. Perez-Rodriguez, Roy Bachar, Li Li +14 more
2018BMC Medical Informatics and Decision Making18 citations Open access
Semantic Scholar
Predictive Modelling of Susceptibility to Substance Abuse, Mortality and Drug-Drug Interactions in Opioid Patients
Ramya Vunikili, B. Glicksberg, Kipp W. Johnson, J. Dudley +2 more
2021Frontiers in Artificial Intelligence16 citations Open access
Semantic Scholar

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