Riccardo Miotto

According to our database, Riccardo Miotto authored at least 50 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Large Language Models with Retrieval-Augmented Generation for Zero-Shot Disease Phenotyping.

Will E. Thompson, David M. Vidmar, Jessica K. De Freitas, John M. Pfeifer, Brandon K. Fornwalt, Ruijun Chen, Gabriel Altay, Kabir Manghnani, Andrew C. Nelsen, Kellie Morland, Martin C. Stumpe, Riccardo Miotto

CoRR, 2023

2021

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

Tingyi Wanyan, Akhil Vaid, Jessica K. De Freitas, Sulaiman Somani, Riccardo Miotto, Girish N. Nadkarni, Ariful Azad, Ying Ding, Benjamin S. Glicksberg

IEEE Trans. Big Data, 2021

Contrastive learning improves critical event prediction in COVID-19 patients.

Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Jing Zhang, Riccardo Miotto, Zhangyang Wang, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg

Patterns, 2021

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

Jessica K. De Freitas, Kipp W. Johnson, Eddye Golden, Girish N. Nadkarni, Joel T. Dudley, Erwin P. Bottinger, Benjamin S. Glicksberg, Riccardo Miotto

Patterns, 2021

Active learning for medical code assignment.

Martha Dais Ferreira, Michal Malyska, Nicola Sahar, Riccardo Miotto, Fernando V. Paulovich, Evangelos E. Milios

CoRR, 2021

Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients.

Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Riccardo Miotto, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang, Ying Ding, Benjamin S. Glicksberg

CoRR, 2021

Domain-Specific Event Abstraction.

Finn Klessascheck, Tom Lichtenstein, Martin Meier, Simon Remy, Jan-Philipp Sachs, Luise Pufahl, Riccardo Miotto, Erwin P. Böttinger, Mathias Weske

Proceedings of the 24th International Conference on Business Information Systems, 2021

Unsupervised Learning to Subphenotype Heart Failure Patients from Electronic Health Records.

Melanie Hackl, Suparno Datta, Riccardo Miotto, Erwin P. Böttinger

Proceedings of the Artificial Intelligence in Medicine, 2021

2020

Sleep in the Natural Environment: A Pilot Study.

Fayzan F. Chaudhry, Matteo Danieletto, Eddye Golden, Jerome R. Scelza, Greg Botwin, Mark M. Shervey, Jessica K. De Freitas, Ishan Paranjpe, Girish N. Nadkarni, Riccardo Miotto, Patricia Glowe, Greg Stock, Bethany Percha, Noah Zimmerman, Joel T. Dudley, Benjamin S. Glicksberg

Sensors, 2020

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

Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee, Sarah T. Cherng, Giulia Landi, Matteo Danieletto, Joel T. Dudley, Cesare Furlanello, Riccardo Miotto

npj Digit. Medicine, 2020

Scaling Structural Learning with NO-BEARS to Infer Causal Transcriptome Networks.

Hao-Chih Lee, Matteo Danieletto, Riccardo Miotto, Sarah T. Cherng, Joel T. Dudley

Proceedings of the Pacific Symposium on Biocomputing 2020, 2020

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

Tingyi Wanyan, Martin Kang, Marcus A. Badgeley, Kipp W. Johnson, Jessica K. De Freitas, Fayzan F. Chaudhry, Akhil Vaid, Shan Zhao, Riccardo Miotto, Girish N. Nadkarni, Fei Wang, Justin F. Rousseau, Ariful Azad, Ying Ding, Benjamin S. Glicksberg

Proceedings of the Artificial Intelligence in Medicine, 2020

2019

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

Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T. Dudley, Alberto Lavelli, Fabio Rinaldi, Venet Osmani

CoRR, 2019

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

Benjamin S. Glicksberg, Boris Oskotsky, Phyllis M. Thangaraj, Nicholas Giangreco, Marcus A. Badgeley, Kipp W. Johnson, Debajyoti Datta, Vivek A. Rudrapatna, Nadav Rappoport, Mark M. Shervey, Riccardo Miotto, Theodore C. Goldstein, Eugenia Rutenberg, Remi Frazier, Nelson Lee, Sharat Israni, Rick Larsen, Bethany Percha, Li Li, Joel T. Dudley, Nicholas P. Tatonetti, Atul J. Butte

Bioinform., 2019

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

Hao-Chih Lee, Sarah T. Cherng, Riccardo Miotto, Joel T. Dudley

Proceedings of the Machine Learning for Healthcare Conference, 2019

2018

Reflecting health: smart mirrors for personalized medicine.

Riccardo Miotto, Matteo Danieletto, Jerome R. Scelza, Brian A. Kidd, Joel T. Dudley

npj Digit. Medicine, 2018

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

Mary Regina Boland, Pradipta Parhi, Li Li, Riccardo Miotto, Robert J. Carroll, Usman Iqbal, Phung-Anh (Alex) Nguyen, Martijn J. Schuemie, Seng Chan You, Donahue Smith, Sean D. Mooney, Patrick B. Ryan, Yu-Chuan (Jack) Li, Rae Woong Park, Joshua C. Denny, Joel T. Dudley, George Hripcsak, Pierre Gentine, Nicholas P. Tatonetti

J. Am. Medical Informatics Assoc., 2018

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

Khader Shameer, Benjamin S. Glicksberg, Rachel Hodos, Kipp W. Johnson, Marcus A. Badgeley, Ben Readhead, Max S. Tomlinson, Timothy O'Connor, Riccardo Miotto, Brian A. Kidd, Rong Chen, Avi Ma'ayan, Joel T. Dudley

Briefings Bioinform., 2018

Deep learning for healthcare: review, opportunities and challenges.

Riccardo Miotto, Fei Wang, Shuang Wang, Xiaoqian Jiang, Joel T. Dudley

Briefings Bioinform., 2018

Automated disease cohort selection using word embeddings from Electronic Health Records.

Benjamin S. Glicksberg, Riccardo Miotto, Kipp W. Johnson, Khader Shameer, Li Li, Rong Chen, Joel T. Dudley

Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018

2017

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

Khader Shameer, Marcus A. Badgeley, Riccardo Miotto, Benjamin S. Glicksberg, Joseph W. Morgan, Joel T. Dudley

Briefings Bioinform., 2017

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

Khader Shameer, Kipp W. Johnson, Alexandre Yahi, Riccardo Miotto, Li Li, Doran Ricks, Jebakumar Jebakaran, Patricia H. Kovatch, Partho P. Sengupta, Annetine Gelijns, Alan Moskovitz, Bruce Darrow, David L. Reich, Andrew Kasarskis, Nicholas P. Tatonetti, Deborah F. Pinney, Joel T. Dudley

Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

2016

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

Riccardo Miotto, Li Li, Joel T. Dudley

Proceedings of the Advances in Information Retrieval, 2016

2015

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

Riccardo Miotto, Chunhua Weng

J. Am. Medical Informatics Assoc., 2015

2014

Patients Screening for Clinical Trials Using EHR Representation Similarities.

Riccardo Miotto, Chunhua Weng

Proceedings of the AMIA 2014, 2014

2013

Unsupervised mining of frequent tags for clinical eligibility text indexing.

Riccardo Miotto, Chunhua Weng

J. Biomed. Informatics, 2013

eTACTS: A method for dynamically filtering clinical trial search results.

Riccardo Miotto, Silis Y. Jiang, Chunhua Weng

J. Biomed. Informatics, 2013

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

Zhihui Luo, Riccardo Miotto, Chunhua Weng

J. Biomed. Informatics, 2013

A Method for Probing Disease Relatedness Using Common Clinical Eligibility Criteria.

Mary Regina Boland, Riccardo Miotto, Chunhua Weng

Proceedings of the MEDINFO 2013, 2013

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

Riccardo Miotto, Chunhua Weng

Proceedings of the AMIA 2013, 2013

2012

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

Riccardo Miotto, Nicola Orio

ACM Trans. Inf. Syst., 2012

A Generative Context Model for Semantic Music Annotation and Retrieval.

Riccardo Miotto, Gert R. G. Lanckriet

IEEE Trans. Speech Audio Process., 2012

2011

Content-based music access.

Riccardo Miotto

PhD thesis, 2011

MusiCLEF: a Benchmark Activity in Multimodal Music Information Retrieval.

Nicola Orio, David Rizo, Riccardo Miotto, Markus Schedl, Nicola Montecchio, Olivier Lartillot

Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

Combining Content-Based Auto-Taggers with Decision-Fusion.

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

Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

Accessing Music Digital Libraries by Combining Semantic Tags and Audio Content.

Riccardo Miotto, Nicola Orio

Proceedings of the Digital Libraries and Archives - 7th Italian Research Conference, 2011

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

Maristella Agosti, Birgit Alber, Paola Benincà, Giorgio Maria Di Nunzio, Marco Dussin, Riccardo Miotto, Diego Pescarini, Stefan Rabanus, Alessandra Tomaselli

Proceedings of the Digital Libraries and Archives - 7th Italian Research Conference, 2011

2010

Statistical Music Modeling Aimed at Identification and Alignment.

Riccardo Miotto, Nicola Montecchio, Nicola Orio

Proceedings of the Advances in Music Information Retrieval, 2010

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

Riccardo Miotto, Nicola Orio

Proceedings of the 11th International Society for Music Information Retrieval Conference, 2010

Improving Auto-tagging by Modeling Semantic Co-occurrences.

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

Proceedings of the 11th International Society for Music Information Retrieval Conference, 2010

Content-Based Cover Song Identification in Music Digital Libraries.

Riccardo Miotto, Nicola Montecchio, Nicola Orio

Proceedings of the Digital Libraries - 6th Italian Research Conference, 2010

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

Maristella Agosti, Paola Benincà, Giorgio Maria Di Nunzio, Riccardo Miotto, Diego Pescarini

Proceedings of the Digital Libraries - 6th Italian Research Conference, 2010

2009

Towards an Integrated Approach to Music Retrieval.

Emanuele Di Buccio, Ivano Masiero, Yosi Mass, Massimo Melucci, Riccardo Miotto, Nicola Orio, Benjamin Sznajder

Proceedings of the Post-proceedings of the Fifth Italian Research Conference on Digital Libraries, 2009

Design of an Information Retrieval System Based on the Peer-to-Peer Paradigm: An Application to Music Retrieval.

Emanuele Di Buccio, Nicola Ferro, Massimo Melucci, Riccardo Miotto, Nicola Orio

Proceedings of the Post-proceedings of the Fifth Italian Research Conference on Digital Libraries, 2009

2008

A Music Identification System Based on Chroma Indexing and Statistical Modeling.

Riccardo Miotto, Nicola Orio

Proceedings of the ISMIR 2008, 2008

Towards a Content-based Music Search Engine.

Riccardo Miotto, Nicola Orio

Proceedings of the Post-proceedings of the Forth Italian Research Conference on Digital Library Systems, 2008

2007

Distributed Information Retrieval and Automatic Identification of Music Works in SAPIR.

Maristella Agosti, Emanuele Di Buccio, Giorgio Maria Di Nunzio, Nicola Ferro, Massimo Melucci, Riccardo Miotto, Nicola Orio

Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, 2007

A Methodology for the Segmentation and Identification of Music Works.

Riccardo Miotto, Nicola Orio

Proceedings of the 8th International Conference on Music Information Retrieval, 2007

Recognition of Music Performances through Audio Matching.

Riccardo Miotto, Nicola Orio

Proceedings of the Post-proceedings of the Third Italian Research Conference on Digital Library Systems, 2007

Automatic Identification of Music Works Through Audio Matching.

Riccardo Miotto, Nicola Orio

Proceedings of the Research and Advanced Technology for Digital Libraries, 2007