Benjamin Glicksberg
Benjamin Glicksberg
Hasso Plattner Institute for Digital Health, Icahn School of Medicine at Mount Sinai
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Cited by
Cited by
Identification of type 2 diabetes subgroups through topological analysis of patient similarity
L Li, WY Cheng, BS Glicksberg, O Gottesman, R Tamler, R Chen, ...
Science translational medicine 7 (311), 311ra174-311ra174, 2015
Artificial intelligence in cardiology
KW Johnson, JT 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
Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams
K Shameer, MA Badgeley, R Miotto, BS Glicksberg, JW Morgan, ...
Briefings in bioinformatics 18 (1), 105-124, 2017
Development and clinical application of an integrative genomic approach to personalized cancer therapy
AV Uzilov, W Ding, MY Fink, Y Antipin, AS Brohl, C Davis, CY Lau, ...
Genome medicine 8 (1), 62, 2016
Neurocognitive effects of ketamine in treatment-resistant major depression: association with antidepressant response
JW Murrough, LB Wan, B Iacoviello, KA Collins, C Solon, B Glicksberg, ...
Psychopharmacology 231 (3), 481-488, 2014
EHDViz: clinical dashboard development using open-source technologies
MA Badgeley, K Shameer, BS Glicksberg, MS Tomlinson, MA Levin, ...
BMJ open 6 (3), e010579, 2016
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
Landscape of conditional eQTL in dorsolateral prefrontal cortex and co-localization with schizophrenia GWAS
A Dobbyn, LM Huckins, J Boocock, LG Sloofman, BS Glicksberg, ...
The American Journal of Human Genetics 102 (6), 1169-1184, 2018
Disease-associated variants in different categories of disease located in distinct regulatory elements
M Ma, Y Ru, LS Chuang, NY Hsu, LS Shi, J Hakenberg, WY Cheng, ...
BMC genomics 16 (S8), S3, 2015
Genetic identification of a common collagen disease in puerto ricans via identity-by-descent mapping in a health system
GM Belbin, J Odgis, EP Sorokin, MC Yee, S Kohli, BS Glicksberg, ...
Elife 6, e25060, 2017
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
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
Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks
BS Glicksberg, L Li, MA Badgeley, K Shameer, R Kosoy, ND Beckmann, ...
Bioinformatics 32 (12), i101-i110, 2016
A call for deep-learning healthcare
B Norgeot, BS Glicksberg, AJ Butte
Nature medicine 25 (1), 14-15, 2019
An integrative pipeline for multi-modal discovery of disease relationships
BS Glicksberg, L Li, WY Cheng, K Shameer, J Hakenberg, R Castellanos, ...
Pacific Symposium on Biocomputing Co-Chairs, 407-418, 2014
Predicting age by mining electronic medical records with deep learning characterizes differences between chronological and physiological age
Z Wang, L Li, BS Glicksberg, A Israel, JT Dudley, A Ma'ayan
Journal of biomedical informatics 76, 59-68, 2017
Data-driven identification of risk factors of patient satisfaction at a large urban academic medical center
L Li, NJ Lee, BS Glicksberg, BD Radbill, JT Dudley
PloS one 11 (5), 2016
Deep learning predicts hip fracture using confounding patient and healthcare variables
MA Badgeley, JR Zech, L Oakden-Rayner, BS Glicksberg, M Liu, W Gale, ...
NPJ digital medicine 2 (1), 1-10, 2019
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