Riccardo Miotto
Title
Cited by
Cited by
Year
Deep learning for healthcare: review, opportunities and challenges
R Miotto, F Wang, S Wang, X Jiang, JT Dudley
Briefings in bioinformatics 19 (6), 1236-1246, 2018
10932018
Deep patient: an unsupervised representation to predict the future of patients from the electronic health records
R Miotto, L Li, BA Kidd, JT Dudley
Scientific reports 6 (1), 1-10, 2016
10612016
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
3752018
AKI in hospitalized patients with COVID-19
L Chan, K Chaudhary, A Saha, K Chauhan, A Vaid, S Zhao, I Paranjpe, ...
Journal of the American Society of Nephrology 32 (1), 151-160, 2021
2292021
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
1352017
A functional genomics predictive network model identifies regulators of inflammatory bowel disease
LA Peters, J Perrigoue, A Mortha, A Iuga, W Song, EM Neiman, ...
Nature genetics 49 (10), 1437-1449, 2017
1222017
Coronavirus 2019 and people living with human immunodeficiency virus: outcomes for hospitalized patients in New York City
K Sigel, T Swartz, E Golden, I Paranjpe, S Somani, F Richter, ...
Clinical infectious diseases 71 (11), 2933-2938, 2020
121*2020
Natural language processing of clinical notes on chronic diseases: systematic review
S Sheikhalishahi, R Miotto, JT Dudley, A Lavelli, F Rinaldi, V Osmani
JMIR medical informatics 7 (2), e12239, 2019
1112019
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
1052017
Retrospective cohort study of clinical characteristics of 2199 hospitalised patients with COVID-19 in New York City
I Paranjpe, AJ Russak, JK De Freitas, A Lala, R Miotto, A Vaid, ...
BMJ open 10 (11), e040736, 2020
83*2020
Case-based reasoning using electronic health records efficiently identifies eligible patients for clinical trials
R Miotto, C Weng
Journal of the American Medical Informatics Association 22 (e1), e141-e150, 2015
802015
Machine learning to predict mortality and critical events in a cohort of patients with COVID-19 in New York City: Model development and validation
A Vaid, S Somani, AJ Russak, JK De Freitas, FF Chaudhry, I Paranjpe, ...
Journal of medical Internet research 22 (11), e24018, 2020
73*2020
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
632018
Automated disease cohort selection using word embeddings from electronic health records
BS Glicksberg, R Miotto, KW Johnson, K Shameer, L Li, R Chen, ...
PACIFIC SYMPOSIUM ON BIOCOMPUTING 2018: Proceedings of the Pacific Symposiumá…, 2018
552018
A generative context model for semantic music annotation and retrieval
R Miotto, G Lanckriet
IEEE Transactions on Audio, Speech, and Language Processing 20 (4), 1096-1108, 2011
552011
A Music Identification System Based on Chroma Indexing and Statistical Modeling.
R Miotto, N Orio
ISMIR, 301-306, 2008
502008
Deep learning to predict patient future diseases from the electronic health records
R Miotto, L Li, JT Dudley
European conference on information retrieval, 768-774, 2016
422016
A human–computer collaborative approach to identifying common data elements in clinical trial eligibility criteria
Z Luo, R Miotto, C Weng
Journal of biomedical informatics 46 (1), 33-39, 2013
412013
Uncovering exposures responsible for birth season–disease effects: a global study
MR Boland, P Parhi, L Li, R Miotto, R Carroll, U Iqbal, PA Nguyen, ...
Journal of the american medical informatics association 25 (3), 275-288, 2018
352018
Improving Auto-tagging by Modeling Semantic Co-occurrences.
R Miotto, L Barrington, GRG Lanckriet
ISMIR, 297-302, 2010
332010
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Articles 1–20