|Artificial intelligence in cardiology|
KW Johnson, J Torres Soto, BS Glicksberg, K Shameer, R Miotto, M Ali, ...
Journal of the American College of Cardiology 71 (23), 2668-2679, 2018
|Machine learning in cardiovascular medicine: are we there yet?|
K Shameer, KW Johnson, BS Glicksberg, JT Dudley, PP Sengupta
Heart 104 (14), 1156-1164, 2018
|Prevalence and impact of myocardial injury in patients hospitalized with COVID-19 infection|
A Lala, KW Johnson, JL Januzzi, AJ Russak, I Paranjpe, F Richter, S Zhao, ...
Journal of the American college of cardiology 76 (5), 533-546, 2020
|Predictive modeling of hospital readmission rates using electronic medical record-wide machine learning: a case-study using Mount Sinai heart failure cohort|
K Shameer, KW Johnson, A Yahi, R Miotto, LI Li, D Ricks, J Jebakaran, ...
PACIFIC SYMPOSIUM ON BIOCOMPUTING 2017, 276-287, 2017
|Pathology of peripheral artery disease in patients with critical limb ischemia|
N Narula, AJ Dannenberg, JW Olin, DL Bhatt, KW Johnson, G Nadkarni, ...
Journal of the American College of Cardiology 72 (18), 2152-2163, 2018
|Deep learning for cardiovascular medicine: a practical primer|
C Krittanawong, KW Johnson, RS Rosenson, Z Wang, M Aydar, U Baber, ...
European heart journal 40 (25), 2058-2073, 2019
|Clinical characteristics of hospitalized Covid-19 patients in New York City|
I Paranjpe, A Russak, JK De Freitas, A Lala, R Miotto, A Vaid, ...
|Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning|
K Shameer, BS Glicksberg, R Hodos, KW Johnson, MA Badgeley, ...
Briefings in bioinformatics 19 (4), 656-678, 2018
|Automated disease cohort selection using word embeddings from Electronic Health Records.|
BS Glicksberg, R Miotto, KW Johnson, K Shameer, L Li, R Chen, ...
PSB, 145-156, 2018
|Intracoronary imaging, cholesterol efflux, and transcriptomes after intensive statin treatment: the YELLOW II study|
AS Kini, Y Vengrenyuk, K Shameer, A Maehara, M Purushothaman, ...
Journal of the American College of Cardiology 69 (6), 628-640, 2017
|Enabling precision cardiology through multiscale biology and systems medicine|
KW Johnson, K Shameer, BS Glicksberg, B Readhead, PP Sengupta, ...
JACC: Basic to Translational Science 2 (3), 311-327, 2017
|The next generation of precision medicine: observational studies, electronic health records, biobanks and continuous monitoring|
BS Glicksberg, KW Johnson, JT Dudley
Human molecular genetics 27 (R1), R56-R62, 2018
|Medical student preparedness for an era of personalized medicine: findings from one US medical school|
C Eden, KW Johnson, O Gottesman, EP Bottinger, NS Abul-Husn
Personalized medicine 13 (2), 129-141, 2016
|Conditions and factors associated with spontaneous coronary artery dissection (from a national population-based cohort study)|
C Krittanawong, A Kumar, KW Johnson, Y Luo, B Yue, Z Wang, DL Bhatt
The American journal of cardiology 123 (2), 249-253, 2019
|Association of hemoglobin A1c levels with use of sulfonylureas, dipeptidyl peptidase 4 inhibitors, and thiazolidinediones in patients with type 2 diabetes treated with …|
R Vashisht, K Jung, A Schuler, JM Banda, RW Park, S Jin, L Li, JT Dudley, ...
JAMA network open 1 (4), e181755-e181755, 2018
|Genome sequences of the primary endosymbiont “Candidatus Portiera aleyrodidarum” in the whitefly Bemisia tabaci B and Q biotypes|
ZF Jiang, F Xia, KW Johnson, E Bartom, JH Tuteja, R Stevens, ...
Journal of bacteriology 194 (23), 6678-6679, 2012
|Prediction of mortality from 12-lead electrocardiogram voltage data using a deep neural network|
S Raghunath, AEU Cerna, L Jing, J Stough, DN Hartzel, JB Leader, ...
Nature medicine 26 (6), 886-891, 2020
|Comparison of the genome sequences of “Candidatus Portiera aleyrodidarum” primary endosymbionts of the whitefly Bemisia tabaci B and Q biotypes|
ZF Jiang, F Xia, KW Johnson, CD Brown, E Bartom, JH Tuteja, R Stevens, ...
Applied and environmental microbiology 79 (5), 1757-1759, 2013
|Integrating blockchain technology with artificial intelligence for cardiovascular medicine|
C Krittanawong, AJ Rogers, M Aydar, E Choi, KW Johnson, Z Wang, ...
Nature Reviews Cardiology 17 (1), 1-3, 2020
|Machine learning to predict mortality and critical events in covid-19 positive new york city patients|
A Vaid, S Somani, AJ Russak, JK De Freitas, FF Chaudhry, I Paranjpe, ...