Riccardo Miotto
TitleCited byYear
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
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
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
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
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, 2017
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, ...
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
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
A Music Identification System Based on Chroma Indexing and Statistical Modeling.
R Miotto, N Orio
ISMIR, 301-306, 2008
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
Unsupervised mining of frequent tags for clinical eligibility text indexing
R Miotto, C Weng
Journal of biomedical informatics 46 (6), 1145-1151, 2013
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
Improving Auto-tagging by Modeling Semantic Co-occurrences.
R Miotto, L Barrington, GRG Lanckriet
ISMIR, 297-302, 2010
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
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
A probabilistic model to combine tags and acoustic similarity for music retrieval
R Miotto, N Orio
ACM Transactions on Information Systems (TOIS) 30 (2), 1-29, 2012
eTACTS: a method for dynamically filtering clinical trial search results
R Miotto, S Jiang, C Weng
Journal of biomedical informatics 46 (6), 1060-1067, 2013
MusiCLEF: a Benchmark Activity in Multimodal Music Information Retrieval.
N Orio, D Rizo, R Miotto, M Schedl, N Montecchio, O Lartillot
ISMIR, 603-608, 2011
Feasibility of feature-based indexing, clustering, and search of clinical trials
MR Boland, R Miotto, J Gao, C Weng
Methods of information in medicine 52 (05), 382-394, 2013
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
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