Riccardo Miotto

发表

A Probabilistic Model to Combine Tags and Acoustic Similarity for Music Retrieval

Riccardo Miotto, Nicola Orio, N. Orio, 2012, TOIS.

Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions

Riccardo Miotto, Tingyi Wanyan, Martin Kang, 2020, AIME.

Sleep in the Natural Environment: A Pilot Study

Riccardo Miotto, Jessica K. De Freitas, Fayzan F. Chaudhry, 2020, Sensors.

Deep Learning to Predict Patient Future Diseases from the Electronic Health Records

Li Li, Riccardo Miotto, Joel Dudley, 2016, ECIR.

Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning

Rong Chen, Riccardo Miotto, Marcus A. Badgeley, 2017, Briefings Bioinform..

eTACTS: an Eligibility Tag Cloud-based Clinical Trial Search Engine

Riccardo Miotto, Chunhua Weng, 2013, AMIA.

Enhancing high-content imaging for studying microtubule networks at large-scale pdf

Riccardo Miotto, Joel T Dudley, Hao-Chih Lee, 2019, MLHC.

Trends in anesthesiology research: a machine learning approach to theme discovery and summarization

Riccardo Miotto, Chunhua Weng, Alexander Rusanov, 2018, JAMIA open.

Federated Learning of Electronic Health Records Improves Mortality Prediction in Patients Hospitalized with COVID-19

Riccardo Miotto, Tingyi Wanyan, Kipp W. Johnson, 2020, medRxiv.

Combining Content-Based Auto-Taggers with Decision-Fusion

Riccardo Miotto, Gert R. G. Lanckriet, Emanuele Coviello, 2011, ISMIR.

ASIt: A Grammatical Survey of Italian Dialects and Cimbrian: Fieldwork, Data Management, and Linguistic Analysis

Giorgio Maria Di Nunzio, Riccardo Miotto, Maristella Agosti, 2011, IRCDL.

A Probabilistic Approach to Merge Context and Content Information for Music Retrieval

Riccardo Miotto, Nicola Orio, 2010, ISMIR.

Reflecting health: smart mirrors for personalized medicine

Riccardo Miotto, Matteo Danieletto, Brian A. Kidd, 2018, npj Digital Medicine.

A Methodology for the Segmentation and Identification of Music Works

Riccardo Miotto, Nicola Orio, N. Orio, 2007, ISMIR.

eTACTS: A method for dynamically filtering clinical trial search results

Riccardo Miotto, Chunhua Weng, Silis Jiang, 2013, J. Biomed. Informatics.

Integration of Chroma and Rhythm Histogram Features in a Music Identification System

Riccardo Miotto, Nicola Montecchio, N. Montecchio, 2009 .

Predictive Modeling of Hospital Readmission Rates Using Electronic Medical Record-Wide Machine Learning: A Case-Study Using Mount Sinai Heart Failure Cohort

Li Li, Riccardo Miotto, Kipp W. Johnson, 2017, PSB.

Content-Based Cover Song Identification in Music Digital Libraries

Riccardo Miotto, Nicola Orio, Nicola Montecchio, 2010, IRCDL.

Content-based music access: an approach and its applications

Riccardo Miotto, Riccardo Miotto, 2009 .

A Music Identification System Based on Chroma Indexing and Statistical Modeling

Riccardo Miotto, Nicola Orio, N. Orio, 2008, ISMIR.

Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records

Li Li, Riccardo Miotto, Brian A. Kidd, 2016, Scientific Reports.

Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients

Marinka Zitnik, Riccardo Miotto, Tingyi Wanyan, 2021, Patterns.

PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model

Theodore C Goldstein, Riccardo Miotto, Marcus A. Badgeley, 2019, Bioinform..

Case-based reasoning using electronic health records efficiently identifies eligible patients for clinical trials

Riccardo Miotto, Chunhua Weng, C. Weng, 2015, J. Am. Medical Informatics Assoc..

Unsupervised mining of frequent tags for clinical eligibility text indexing

Riccardo Miotto, Chunhua Weng, C. Weng, 2013, J. Biomed. Informatics.

Scaling structural learning with NO-BEARS to infer causal transcriptome networks

Riccardo Miotto, Joel T. Dudley, Hao-Chih Lee, 2019, PSB.

A Digital Library Effort to Support the Building of Grammatical Resources for Italian Dialects

Giorgio Maria Di Nunzio, Riccardo Miotto, Maristella Agosti, 2010, Italian Research Conference on Digital Library Management Systems.

Deep learning for healthcare: review, opportunities and challenges

Fei Wang, Xiaoqian Jiang, Riccardo Miotto, 2018, Briefings Bioinform..

Identifying Acute Low Back Pain Episodes in Primary Care Practice From Clinical Notes: Observational Study

Riccardo Miotto, Joel T Dudley, Hao-Chih Lee, 2020, JMIR medical informatics.

MusiCLEF: a Benchmark Activity in Multimodal Music Information Retrieval

Riccardo Miotto, Nicola Orio, Markus Schedl, 2011, ISMIR.

Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams

Riccardo Miotto, Marcus A. Badgeley, Benjamin S. Glicksberg, 2016, Briefings Bioinform..

A human-computer collaborative approach to identifying common data elements in clinical trial eligibility criteria

Riccardo Miotto, Chunhua Weng, Zhihui Luo, 2013, J. Biomed. Informatics.

Improving Auto-tagging by Modeling Semantic Co-occurrences

Riccardo Miotto, Gert R. G. Lanckriet, Luke Barrington, 2010, ISMIR.

Uncovering exposures responsible for birth season – disease effects: a global study

Li Li, Phung Anh Nguyen, Yu-Chuan Li, 2017, J. Am. Medical Informatics Assoc..

A Generative Context Model for Semantic Music Annotation and Retrieval

Riccardo Miotto, Gert R. G. Lanckriet, G. Lanckriet, 2012, IEEE Transactions on Audio, Speech, and Language Processing.

A Method for Probing Disease Relatedness Using Common Clinical Eligibility Criteria

Riccardo Miotto, Chunhua Weng, Mary Regina Boland, 2013, MedInfo.

Patients Screening for Clinical Trials Using EHR Representation Similarities

Riccardo Miotto, Chunhua Weng, 2014, AMIA.

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review

Fabio Rinaldi, Riccardo Miotto, Venet Osmani, 2019, JMIR medical informatics.

Automatic Identification of Music Works Through Audio Matching

Riccardo Miotto, Nicola Orio, N. Orio, 2007, ECDL.

Statistical Music Modeling Aimed at Identification and Alignment

Riccardo Miotto, Nicola Orio, Nicola Montecchio, 2010, Advances in Music Information Retrieval.

Content-based Music Access: Combining Audio Features and Semantic Information for Music Search Engines

Riccardo Miotto, 2011 .

Towards a Content-based Music Search Engine

Riccardo Miotto, Nicola Orio, 2008, IRCDL.

Accessing Music Digital Libraries by Combining Semantic Tags and Audio Content

Riccardo Miotto, Nicola Orio, 2011, IRCDL.

Deep representation learning of electronic health records to unlock patient stratification at scale

Cesare Furlanello, Riccardo Miotto, Benjamin S. Glicksberg, 2020, npj Digital Medicine.

Automated disease cohort selection using word embeddings from Electronic Health Records

Li Li, Rong Chen, Riccardo Miotto, 2018, PSB.

Distributed Information Retrieval and Automatic Identification of Music Works in SAPIR

Giorgio Maria Di Nunzio, Riccardo Miotto, Nicola Orio, 2007, SEBD.

Recognition of Music Performances through Audio Matching

Riccardo Miotto, Nicola Orio, 2007, IRCDL.

Active learning for medical code assignment pdf

Riccardo Miotto, Martha Dais Ferreira, Michal Malyska, 2021, ArXiv.

Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit

Riccardo Miotto, Tingyi Wanyan, Akhil Vaid, 2020, IEEE Transactions on Big Data.

Deep learning for biomedical applications

Riccardo Miotto, Kipp W. Johnson, Benjamin S. Glicksberg, 2021, Machine Learning in Cardiovascular Medicine.

Domain-Specific Event Abstraction

Mathias Weske, Luise Pufahl, Riccardo Miotto, 2021, BIS.

Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records

Riccardo Miotto, Kipp W. Johnson, Jessica K. De Freitas, 2021, Patterns.

Unsupervised Learning to Subphenotype Heart Failure Patients from Electronic Health Records

Riccardo Miotto, Suparno Datta, Erwin P. Böttinger, 2021, AIME.

Replicating Cardiovascular Condition-Birth Month Associations

Li Li, Riccardo Miotto, Nicholas P. Tatonetti, 2016, Scientific Reports.

Abstract 19489: Pharmacological Factors Associated With Congestive Heart Failure Hospital Readmission: A Case-Study Using 15,768 Heart Failure Patients From Two Health Systems

Riccardo Miotto, Kipp W. Johnson, Alexandre Yahi, 2016 .

Machine Learning to Predict Mortality and Critical Events in COVID-19 Positive New York City Patients

Riccardo Miotto, Kipp W. Johnson, Fayzan F. Chaudhry, 2020, medRxiv.

Machine Learning to Predict Mortality and Critical Events in a Cohort of Patients With COVID-19 in New York City: Model Development and Validation

Joseph Finkelstein, Riccardo Miotto, Kipp W. Johnson, 2020, Journal of medical Internet research.

Machine Learning in Cardiology—Ensuring Clinical Impact Lives Up to the Hype

Riccardo Miotto, Kipp W. Johnson, Fayzan F. Chaudhry, 2020, Journal of cardiovascular pharmacology and therapeutics.