| Year |
Citation |
Score |
| 2022 |
Krittanawong C, Johnson KW, Choi E, Kaplin S, Venner E, Murugan M, Wang Z, Glicksberg BS, Amos CI, Schatz MC, Tang WHW. Artificial Intelligence and Cardiovascular Genetics. Life (Basel, Switzerland). 12. PMID 35207566 DOI: 10.3390/life12020279 |
0.673 |
|
| 2021 |
Vunikili R, Glicksberg BS, Johnson KW, Dudley JT, Subramanian L, Shameer K. Predictive Modelling of Susceptibility to Substance Abuse, Mortality and Drug-Drug Interactions in Opioid Patients. Frontiers in Artificial Intelligence. 4: 742723. PMID 34957391 DOI: 10.3389/frai.2021.742723 |
0.705 |
|
| 2021 |
Kröner PT, Engels MM, Glicksberg BS, Johnson KW, Mzaik O, van Hooft JE, Wallace MB, El-Serag HB, Krittanawong C. Artificial intelligence in gastroenterology: A state-of-the-art review. World Journal of Gastroenterology. 27: 6794-6824. PMID 34790008 DOI: 10.3748/wjg.v27.i40.6794 |
0.653 |
|
| 2021 |
Vaid A, Johnson KW, Badgeley MA, Somani SS, Bicak M, Landi I, Russak A, Zhao S, Levin MA, Freeman RS, Charney AW, Kukar A, Kim B, Danilov T, Lerakis S, et al. Using Deep-Learning Algorithms to Simultaneously Identify Right and Left Ventricular Dysfunction From the Electrocardiogram. Jacc. Cardiovascular Imaging. PMID 34656465 DOI: 10.1016/j.jcmg.2021.08.004 |
0.624 |
|
| 2021 |
De Freitas JK, Johnson KW, Golden E, Nadkarni GN, Dudley JT, Bottinger EP, Glicksberg BS, Miotto R. Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records. Patterns (New York, N.Y.). 2: 100337. PMID 34553174 DOI: 10.1016/j.patter.2021.100337 |
0.741 |
|
| 2021 |
Krittanawong C, Johnson KW, Glicksberg BS. Opportunities and challenges for artificial intelligence in clinical cardiovascular genetics. Trends in Genetics : Tig. PMID 33926743 DOI: 10.1016/j.tig.2021.04.004 |
0.664 |
|
| 2021 |
Paranjpe I, Chaudhary K, Johnson KW, Jaladanki SK, Zhao S, De Freitas JK, Pujdas E, Chaudhry F, Bottinger EP, Levin MA, Fayad ZA, Charney AW, Houldsworth J, Cordon-Cardo C, Glicksberg BS, et al. Association of SARS-CoV-2 viral load at admission with in-hospital acute kidney injury: A retrospective cohort study. Plos One. 16: e0247366. PMID 33626098 DOI: 10.1371/journal.pone.0247366 |
0.647 |
|
| 2020 |
Vaid A, Jaladanki SK, Xu J, Teng S, Kumar A, Lee S, Somani S, Paranjpe I, De Freitas JK, Wanyan T, Johnson KW, Bicak M, Klang E, Kwon YJ, Costa A, et al. Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19. Jmir Medical Informatics. PMID 33400679 DOI: 10.2196/24207 |
0.688 |
|
| 2020 |
Paranjpe I, Russak AJ, De Freitas JK, Lala A, Miotto R, Vaid A, Johnson KW, Danieletto M, Golden E, Meyer D, Singh M, Somani S, Kapoor A, O'Hagan R, Manna S, et al. Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City. Bmj Open. 10: e040736. PMID 33247020 DOI: 10.1136/bmjopen-2020-040736 |
0.675 |
|
| 2020 |
Chaudhary K, Vaid A, Duffy Á, Paranjpe I, Jaladanki S, Paranjpe M, Johnson K, Gokhale A, Pattharanitima P, Chauhan K, O'Hagan R, Van Vleck T, Coca SG, Cooper R, Glicksberg B, et al. Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney Injury. Clinical Journal of the American Society of Nephrology : Cjasn. PMID 33033164 DOI: 10.2215/CJN.09330819 |
0.665 |
|
| 2020 |
Vaid A, Somani S, Russak AJ, De Freitas JK, Chaudhry FF, Paranjpe I, Johnson KW, Lee SJ, Miotto R, Richter F, Zhao S, Beckmann ND, Naik N, Kia A, Timsina P, et al. Machine Learning to Predict Mortality and Critical Events in COVID-19 Positive New York City Patients: A Cohort Study. Journal of Medical Internet Research. PMID 33027032 DOI: 10.2196/24018 |
0.686 |
|
| 2020 |
Sengupta PP, Shrestha S, Berthon B, Messas E, Donal E, Tison GH, Min JK, D'hooge J, Voigt JU, Dudley J, Verjans JW, Shameer K, Johnson K, Lovstakken L, Tabassian M, et al. Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist: Reviewed by the American College of Cardiology Healthcare Innovation Council. Jacc. Cardiovascular Imaging. 13: 2017-2035. PMID 32912474 DOI: 10.1016/J.Jcmg.2020.07.015 |
0.504 |
|
| 2020 |
Vaid A, Jaladanki SK, Xu J, Teng S, Kumar A, Lee S, Somani S, Paranjpe I, De Freitas JK, Wanyan T, Johnson KW, Bicak M, Klang E, Kwon YJ, Costa A, et al. Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19. Medrxiv : the Preprint Server For Health Sciences. PMID 32817979 DOI: 10.1101/2020.08.11.20172809 |
0.681 |
|
| 2020 |
Lala A, Johnson KW, Januzzi JL, Russak AJ, Paranjpe I, Richter F, Zhao S, Somani S, Van Vleck T, Vaid A, Chaudhry F, De Freitas JK, Fayad ZA, Pinney SP, Levin M, et al. Prevalence and Impact of Myocardial Injury in Patients Hospitalized with COVID-19 Infection. Journal of the American College of Cardiology. PMID 32517963 DOI: 10.1016/J.Jacc.2020.06.007 |
0.648 |
|
| 2020 |
Lala A, Johnson KW, Russak AJ, Paranjpe I, Zhao S, Solani S, Vaid A, Chaudhry F, De Freitas JK, Fayad ZA, Pinney SP, Levin M, Charney A, Bagiella E, Narula J, et al. Prevalence and Impact of Myocardial Injury in Patients Hospitalized with COVID-19 Infection. Medrxiv : the Preprint Server For Health Sciences. PMID 32511658 DOI: 10.1101/2020.04.20.20072702 |
0.648 |
|
| 2020 |
Paranjpe I, Russak A, De Freitas JK, Lala A, Miotto R, Vaid A, Johnson KW, Danieletto M, Golden E, Meyer D, Singh M, Somani S, Manna S, Nangia U, Kapoor A, et al. Clinical Characteristics of Hospitalized Covid-19 Patients in New York City. Medrxiv : the Preprint Server For Health Sciences. PMID 32511655 DOI: 10.1101/2020.04.19.20062117 |
0.668 |
|
| 2020 |
Russak AJ, Chaudhry F, De Freitas JK, Baron G, Chaudhry FF, Bienstock S, Paranjpe I, Vaid A, Ali M, Zhao S, Somani S, Richter F, Bawa T, Levy PD, Miotto R, ... ... Johnson KW, et al. Machine Learning in Cardiology-Ensuring Clinical Impact Lives Up to the Hype. Journal of Cardiovascular Pharmacology and Therapeutics. 1074248420928651. PMID 32495652 DOI: 10.1177/1074248420928651 |
0.686 |
|
| 2019 |
Russak AJ, Johnson KW, Halperin JL, Percha B, Dudley JT. Racial and Sex Differences in Stroke Risk in Patients With Atrial Fibrillation. Journal of the American College of Cardiology. 74: 3069-3070. PMID 31865975 DOI: 10.1016/j.jacc.2019.10.018 |
0.436 |
|
| 2019 |
Glicksberg BS, Amadori L, Akers NK, Sukhavasi K, Franzén O, Li L, Belbin GM, Ayers KL, Shameer K, Badgeley MA, Johnson KW, Readhead B, Darrow BJ, Kenny EE, Betsholtz C, et al. Correction to: Integrative analysis of loss-of-function variants in clinical and genomic data reveals novel genes associated with cardiovascular traits. Bmc Medical Genomics. 12: 154. PMID 31684948 DOI: 10.1186/s12920-019-0573-9 |
0.709 |
|
| 2019 |
Glicksberg BS, Amadori L, Akers NK, Sukhavasi K, Franzén O, Li L, Belbin GM, Akers KL, Shameer K, Badgeley MA, Johnson KW, Readhead B, Darrow BJ, Kenny EE, Betsholtz C, et al. Integrative analysis of loss-of-function variants in clinical and genomic data reveals novel genes associated with cardiovascular traits. Bmc Medical Genomics. 12: 108. PMID 31345219 DOI: 10.1186/S12920-019-0542-3 |
0.724 |
|
| 2019 |
Glicksberg BS, Oskotsky B, Thangaraj PM, Giangreco N, Badgeley MA, Johnson KW, Datta D, Rudrapatna V, Rappoport N, Shervey MM, Miotto R, Goldstein TC, Rutenberg E, Frazier R, Lee N, et al. PatientExploreR: an extensible application for dynamic visualization of patient clinical history from Electronic Health Records in the OMOP Common Data Model Title. Bioinformatics (Oxford, England). PMID 31214700 DOI: 10.1093/Bioinformatics/Btz409 |
0.75 |
|
| 2019 |
Liu AC, Patel K, Vunikili RD, Johnson KW, Abdu F, Belman SK, Glicksberg BS, Tandale P, Fontanez R, Mathew OK, Kasarskis A, Mukherjee P, Subramanian L, Dudley JT, Shameer K. Sepsis in the era of data-driven medicine: personalizing risks, diagnoses, treatments and prognoses. Briefings in Bioinformatics. PMID 31190075 DOI: 10.1093/Bib/Bbz059 |
0.746 |
|
| 2019 |
Johnson KW, Glicksberg BS, Shameer K, Vengrenyuk Y, Krittanawong C, Russak AJ, Sharma SK, Narula JN, Dudley JT, Kini AS. A transcriptomic model to predict increase in fibrous cap thickness in response to high-dose statin treatment: Validation by serial intracoronary OCT imaging. Ebiomedicine. PMID 31126891 DOI: 10.1016/J.Ebiom.2019.05.007 |
0.723 |
|
| 2019 |
Johnson KW, De Freitas JK, Glicksberg BS, Bobe JR, Dudley JT. Evaluation of patient re-identification using laboratory test orders and mitigation via latent space variables. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 24: 415-426. PMID 30864342 |
0.721 |
|
| 2018 |
Vashisht R, Jung K, Schuler A, Banda JM, Park RW, Jin S, Li L, Dudley JT, Johnson KW, Shervey MM, Xu H, Wu Y, Natrajan K, Hripcsak G, Jin P, et al. Association of Hemoglobin A1c Levels With Use of Sulfonylureas, Dipeptidyl Peptidase 4 Inhibitors, and Thiazolidinediones in Patients With Type 2 Diabetes Treated With Metformin: Analysis From the Observational Health Data Sciences and Informatics Initiative. Jama Network Open. 1: e181755. PMID 30646124 DOI: 10.1001/jamanetworkopen.2018.1755 |
0.486 |
|
| 2018 |
Shameer K, Perez-Rodriguez MM, Bachar R, Li L, Johnson A, Johnson KW, Glicksberg BS, Smith MR, Readhead B, Scarpa J, Jebakaran J, Kovatch P, Lim S, Goodman W, Reich DL, et al. Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining. Bmc Medical Informatics and Decision Making. 18: 79. PMID 30255805 DOI: 10.1186/S12911-018-0653-3 |
0.75 |
|
| 2018 |
Shameer K, Johnson KW, Glicksberg BS, Dudley JT, Sengupta PP. The whole is greater than the sum of its parts: combining classical statistical and machine intelligence methods in medicine. Heart (British Cardiac Society). 104: 1228. PMID 29945951 DOI: 10.1136/Heartjnl-2018-313377 |
0.709 |
|
| 2018 |
Johnson KW, Dudley JT, Bobe JR. A 72-Year-Old Patient with Longstanding, Untreated Familial Hypercholesterolemia but no Coronary Artery Calcification: A Case Report. Cureus. 10: e2452. PMID 29888156 DOI: 10.7759/cureus.2452 |
0.468 |
|
| 2018 |
Shameer K, Dow G, Glicksberg BS, Johnson KW, Ze Y, Tomlinson MS, Readhead B, Dudley JT, Kullo IJ. A Network-Biology Informed Computational Drug Repositioning Strategy to Target Disease Risk Trajectories and Comorbidities of Peripheral Artery Disease. Amia Joint Summits On Translational Science Proceedings. Amia Joint Summits On Translational Science. 2017: 108-117. PMID 29888052 |
0.735 |
|
| 2018 |
Johnson KW, Torres Soto J, Glicksberg BS, Shameer K, Miotto R, Ali M, Ashley E, Dudley JT. Artificial Intelligence in Cardiology. Journal of the American College of Cardiology. 71: 2668-2679. PMID 29880128 DOI: 10.1016/J.Jacc.2018.03.521 |
0.723 |
|
| 2018 |
Glicksberg BS, Johnson KW, Dudley JT. The next generation of precision medicine: observational studies, electronic health records, biobanks, and continuous monitoring. Human Molecular Genetics. PMID 29659828 DOI: 10.1093/Hmg/Ddy114 |
0.728 |
|
| 2018 |
Shameer K, Johnson KW, Glicksberg BS, Dudley JT, Sengupta PP. Machine learning in cardiovascular medicine: are we there yet? Heart (British Cardiac Society). PMID 29352006 DOI: 10.1136/Heartjnl-2017-311198 |
0.724 |
|
| 2018 |
Johnson KW, Glicksberg BS, Hodos RA, Shameer K, Dudley JT. Causal inference on electronic health records to assess blood pressure treatment targets: an application of the parametric g formula. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 23: 180-191. PMID 29218880 |
0.74 |
|
| 2018 |
Glicksberg BS, Miotto R, Johnson KW, Shameer K, Li L, Chen R, Dudley JT. Automated disease cohort selection using word embeddings from Electronic Health Records. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 23: 145-156. PMID 29218877 |
0.731 |
|
| 2018 |
Johnson K, Khader S, Glicksberg BS, Vengrenyuk Y, Divaraniya AA, Li L, Sharma SK, Narula J, Dudley J, Kini AS. A MACHINE LEARNING MODEL PREDICTS INDIVIDUALS WHO IMPROVE CORONARY ARTERY PLAQUE FIBROUS CAP THICKNESS FOLLOWING HIGH-INTENSITY STATIN THERAPY Journal of the American College of Cardiology. 71: A1348. DOI: 10.1016/S0735-1097(18)31889-8 |
0.72 |
|
| 2017 |
Johnson KW, Shameer K, Glicksberg BS, Readhead B, Sengupta PP, Björkegren JLM, Kovacic JC, Dudley JT. Enabling Precision Cardiology Through Multiscale Biology and Systems Medicine. Jacc. Basic to Translational Science. 2: 311-327. PMID 30062151 DOI: 10.1016/J.Jacbts.2016.11.010 |
0.748 |
|
| 2017 |
Chamaria S, Johnson KW, Vengrenyuk Y, Baber U, Shameer K, Divaraniya AA, Glicksberg BS, Li L, Bhatheja S, Moreno P, Maehara A, Mehran R, Dudley JT, Narula J, Sharma SK, et al. Intracoronary Imaging, Cholesterol Efflux, and Transcriptomics after Intensive Statin Treatment in Diabetes. Scientific Reports. 7: 7001. PMID 28765529 DOI: 10.1038/S41598-017-07029-7 |
0.724 |
|
| 2017 |
Shameer K, Glicksberg BS, Hodos R, Johnson KW, Badgeley MA, Readhead B, Tomlinson MS, O'Connor T, Miotto R, Kidd BA, Chen R, Ma'ayan A, Dudley JT. Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning. Briefings in Bioinformatics. PMID 28200013 DOI: 10.1093/Bib/Bbw136 |
0.741 |
|
| 2017 |
Shameer K, Yadav KK, Li L, Yadav SS, Glicksberg B, Khan I, Johnson KW, Badgeley MA, Elaiho C, Readhead B, Kidd BA, Kasarskis A, Dudley JT, Tewari AK. Abstract 3772: A multi-scale survey to assess the impact of inflammatory diseases of the abdominal cavity and prostate cancer severity Cancer Research. 77: 3772-3772. DOI: 10.1158/1538-7445.Am2017-3772 |
0.642 |
|
| 2017 |
Yadav KK, Shameer K, Readhead B, Stockert JA, Elaiho C, Yadav SS, Glicksberg BS, Johnson KW, Becker C, Kasarskis A, Tewari AK, Dudley JT. Abstract 3250: Computational drug repositioning and biochemical validation of piperlongumine as a potent therapeutic agent for neuroendocrine prostate cancer Cancer Research. 77: 3250-3250. DOI: 10.1158/1538-7445.Am2017-3250 |
0.627 |
|
| 2017 |
Bhatheja S, Johnson K, Vengrenyuk Y, Khader S, Yoshimura T, Benjamin G, Maehara A, Purushothaman M, Mahajan M, Moreno P, Mehran R, Baber U, Dudley J, Narula J, Sharma S, et al. ATHEROSCLEROTIC PLAQUE MORPHOLOGY IN RESPONSE TO HIGH INTENSITY LIPID LOWERING THERAPY BY MULTIMODALITY IMAGING AMONG WOMEN AND MEN: A YELLOW-II SUB-STUDY Journal of the American College of Cardiology. 69: 1056. DOI: 10.1016/S0735-1097(17)34445-5 |
0.431 |
|
| 2017 |
Kini AS, Shameer K, Vengrenyuk Y, Glicksberg B, Johnson K, Divaraniya A, Readhead B, Purushothaman M, Kidd B, Sharma S, Narula J, Dudley J. INVESTIGATION OF NOVEL DRUG TARGETS IMPLICATED IN HIGH-DOSE STATIN THERAPY FROM YELLOW-II TRIAL: TOWARDS PERSONALIZED LIPID LOWERING THERAPIES Journal of the American College of Cardiology. 69: 977. DOI: 10.1016/S0735-1097(17)34366-8 |
0.7 |
|
| 2016 |
Kini AS, Vengrenyuk Y, Shameer K, Maehara A, Purushothaman M, Yoshimura T, Matsumura M, Aquino M, Haider N, Johnson KW, Readhead B, Kidd BA, Feig JE, Krishnan P, Sweeny J, et al. Intracoronary Imaging, Cholesterol Efflux, and Transcriptomes after Intensive Statin Treatment: The YELLOW II study. Journal of the American College of Cardiology. PMID 27989886 DOI: 10.1016/J.Jacc.2016.10.029 |
0.469 |
|
| 2016 |
Shameer K, Johnson KW, Yahi A, Miotto R, Li LI, Ricks D, Jebakaran J, Kovatch P, Sengupta PP, Gelijns S, Moskovitz A, Darrow B, David DL, Kasarskis A, Tatonetti NP, et al. PREDICTIVE MODELING OF HOSPITAL READMISSION RATES USING ELECTRONIC MEDICAL RECORD-WIDE MACHINE LEARNING: A CASE-STUDY USING MOUNT SINAI HEART FAILURE COHORT. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 22: 276-287. PMID 27896982 |
0.526 |
|
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