Riccardo Miotto

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 26

Top Topics

Clinical Trials

Top Venues

Briefings Bioinform.

J. Am. Medical Informatics Assoc.

Publications

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
Large Language Models with Retrieval-Augmented Generation for Zero-Shot Disease Phenotyping. CoRR (2023)
Melanie Hackl, Suparno Datta, Riccardo Miotto, Erwin P. Böttinger
Unsupervised Learning to Subphenotype Heart Failure Patients from Electronic Health Records. AIME (2021)
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
Contrastive learning improves critical event prediction in COVID-19 patients. Patterns 2 (12) (2021)
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
Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients. CoRR (2021)
Tingyi Wanyan, Akhil Vaid, Jessica K. De Freitas, Sulaiman Somani, Riccardo Miotto, Girish N. Nadkarni, Ariful Azad, Ying Ding, Benjamin S. Glicksberg
Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit. IEEE Trans. Big Data 7 (1) (2021)
Martha Dais Ferreira, Michal Malyska, Nicola Sahar, Riccardo Miotto, Fernando V. Paulovich, Evangelos E. Milios
Active learning for medical code assignment. CoRR (2021)
Jessica K. De Freitas, Kipp W. Johnson, Eddye Golden, Girish N. Nadkarni, Joel T. Dudley, Erwin P. Bottinger, Benjamin S. Glicksberg, Riccardo Miotto
Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records. Patterns 2 (9) (2021)
Finn Klessascheck, Tom Lichtenstein, Martin Meier, Simon Remy, Jan-Philipp Sachs, Luise Pufahl, Riccardo Miotto, Erwin P. Böttinger, Mathias Weske
Domain-Specific Event Abstraction. BIS (2021)
Hao-Chih Lee, Matteo Danieletto, Riccardo Miotto, Sarah T. Cherng, Joel T. Dudley
Scaling Structural Learning with NO-BEARS to Infer Causal Transcriptome Networks. PSB (2020)
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
Heterogeneous Graph Embeddings of Electronic Health Records Improve Critical Care Disease Predictions. AIME (2020)
Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee, Sarah T. Cherng, Giulia Landi, Matteo Danieletto, Joel T. Dudley, Cesare Furlanello, Riccardo Miotto
Deep representation learning of electronic health records to unlock patient stratification at scale. npj Digit. Medicine 3 (2020)
Isotta Landi, Benjamin S. Glicksberg, Hao-Chih Lee, Sarah T. Cherng, Giulia Landi, Matteo Danieletto, Joel T. Dudley, Cesare Furlanello, Riccardo Miotto
Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scale. CoRR (2020)
Fayzan F. Chaudhry, Matteo Danieletto, Eddye Golden, Jerome 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
Sleep in the Natural Environment: A Pilot Study. Sensors 20 (5) (2020)
Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T. Dudley, Alberto Lavelli, Fabio Rinaldi, Venet Osmani
Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review. CoRR (2019)
Hao-Chih Lee, Matteo Danieletto, Riccardo Miotto, Sarah T. Cherng, Joel T. Dudley
Scaling structural learning with NO-BEARS to infer causal transcriptome networks. CoRR (2019)
Hao-Chih Lee, Sarah T. Cherng, Riccardo Miotto, Joel T. Dudley
Enhancing high-content imaging for studying microtubule networks at large-scale. CoRR (2019)
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
PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model. Bioinform. 35 (21) (2019)
Hao-Chih Lee, Sarah T. Cherng, Riccardo Miotto, Joel T. Dudley
Enhancing high-content imaging for studying microtubule networks at large-scale. MLHC (2019)
Benjamin S. Glicksberg, Riccardo Miotto, Kipp W. Johnson, Khader Shameer, Li Li, Rong Chen, Joel T. Dudley
Automated disease cohort selection using word embeddings from Electronic Health Records. PSB (2018)
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 Mooney, Patrick B. Ryan, Yu-Chuan (Jack) Li, Rae Woong Park, Joshua C. Denny, Joel T. Dudley, George Hripcsak, Pierre Gentine, Nicholas P. Tatonetti
Uncovering exposures responsible for birth season - disease effects: a global study. J. Am. Medical Informatics Assoc. 25 (3) (2018)
Riccardo Miotto, Fei Wang, Shuang Wang, Xiaoqian Jiang, Joel T. Dudley
Deep learning for healthcare: review, opportunities and challenges. Briefings Bioinform. 19 (6) (2018)
Riccardo Miotto, Matteo Danieletto, Jerome R. Scelza, Brian A. Kidd, Joel T. Dudley
Reflecting health: smart mirrors for personalized medicine. npj Digit. Medicine 1 (2018)
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
Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning. Briefings Bioinform. 19 (4) (2018)
Khader Shameer, Kipp W. Johnson, Alexandre Yahi, Riccardo Miotto, Li Li, Doran Ricks, Jebakumar Jebakaran, Patricia A. Kovatch, Partho P. Sengupta, Annetine Gelijns, Alan Moskovitz, Bruce Darrow, David L. Reich, Andrew Kasarskis, Nicholas P. Tatonetti, Deborah F. Pinney, Joel T. Dudley
Predictive Modeling of Hospital Readmission Rates Using Electronic Medical Record-Wide Machine Learning: A Case-Study Using Mount Sinai Heart Failure Cohort. PSB (2017)
Khader Shameer, Marcus A. Badgeley, Riccardo Miotto, Benjamin S. Glicksberg, Joseph W. Morgan, Joel T. Dudley
Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams. Briefings Bioinform. 18 (1) (2017)
Riccardo Miotto, Li Li, Joel T. Dudley
Deep Learning to Predict Patient Future Diseases from the Electronic Health Records. ECIR (2016)
Riccardo Miotto, Chunhua Weng
Case-based reasoning using electronic health records efficiently identifies eligible patients for clinical trials. J. Am. Medical Informatics Assoc. 22 (e1) (2015)
Riccardo Miotto, Chunhua Weng
Patients Screening for Clinical Trials Using EHR Representation Similarities. AMIA (2014)
Riccardo Miotto, Chunhua Weng
Unsupervised mining of frequent tags for clinical eligibility text indexing. J. Biomed. Informatics 46 (6) (2013)
Mary Regina Boland, Riccardo Miotto, Chunhua Weng
A Method for Probing Disease Relatedness Using Common Clinical Eligibility Criteria. MedInfo (2013)
Zhihui Luo, Riccardo Miotto, Chunhua Weng
A human-computer collaborative approach to identifying common data elements in clinical trial eligibility criteria. J. Biomed. Informatics 46 (1) (2013)
Riccardo Miotto, Silis Y. Jiang, Chunhua Weng
eTACTS: A method for dynamically filtering clinical trial search results. J. Biomed. Informatics 46 (6) (2013)
Riccardo Miotto, Chunhua Weng
eTACTS: an Eligibility Tag Cloud-based Clinical Trial Search Engine. AMIA (2013)
Riccardo Miotto, Gert R. G. Lanckriet
A Generative Context Model for Semantic Music Annotation and Retrieval. IEEE Trans. Speech Audio Process. 20 (4) (2012)
Riccardo Miotto, Nicola Orio
A Probabilistic Model to Combine Tags and Acoustic Similarity for Music Retrieval. ACM Trans. Inf. Syst. 30 (2) (2012)
Maristella Agosti, Birgit Alber, Paola Benincà, Giorgio Maria Di Nunzio, Marco Dussin, Riccardo Miotto, Diego Pescarini, Stefan Rabanus, Alessandra Tomaselli
ASIt: A Grammatical Survey of Italian Dialects and Cimbrian: Fieldwork, Data Management, and Linguistic Analysis. IRCDL (2011)
Riccardo Miotto, Nicola Orio
Accessing Music Digital Libraries by Combining Semantic Tags and Audio Content. IRCDL (2011)
Nicola Orio, David Rizo, Riccardo Miotto, Markus Schedl, Nicola Montecchio, Olivier Lartillot
MusiCLEF: a Benchmark Activity in Multimodal Music Information Retrieval. ISMIR (2011)
Emanuele Coviello, Riccardo Miotto, Gert R. G. Lanckriet
Combining Content-Based Auto-Taggers with Decision-Fusion. ISMIR (2011)
Maristella Agosti, Paola Benincà, Giorgio Maria Di Nunzio, Riccardo Miotto, Diego Pescarini
A Digital Library Effort to Support the Building of Grammatical Resources for Italian Dialects. IRCDL (2010)
Riccardo Miotto, Nicola Montecchio, Nicola Orio
Content-Based Cover Song Identification in Music Digital Libraries. IRCDL (2010)
Riccardo Miotto, Nicola Orio
A Probabilistic Approach to Merge Context and Content Information for Music Retrieval. ISMIR (2010)
Riccardo Miotto, Luke Barrington, Gert R. G. Lanckriet
Improving Auto-tagging by Modeling Semantic Co-occurrences. ISMIR (2010)
Emanuele Di Buccio, Ivano Masiero, Yosi Mass, Massimo Melucci, Riccardo Miotto, Nicola Orio, Benjamin Sznajder
Towards an Integrated Approach to Music Retrieval. IRCDL (2009)
Emanuele Di Buccio, Nicola Ferro, Massimo Melucci, Riccardo Miotto, Nicola Orio
Design of an Information Retrieval System Based on the Peer-to-Peer Paradigm: An Application to Music Retrieval. IRCDL (2009)
Riccardo Miotto, Nicola Orio
A Music Identification System Based on Chroma Indexing and Statistical Modeling. ISMIR (2008)
Riccardo Miotto, Nicola Orio
Towards a Content-based Music Search Engine. IRCDL (2008)
Riccardo Miotto, Nicola Orio
Recognition of Music Performances through Audio Matching. IRCDL (2007)
Riccardo Miotto, Nicola Orio
A Methodology for the Segmentation and Identification of Music Works. ISMIR (2007)
Riccardo Miotto, Nicola Orio
Automatic Identification of Music Works Through Audio Matching. ECDL (2007)
Maristella Agosti, Emanuele Di Buccio, Giorgio Maria Di Nunzio, Nicola Ferro, Massimo Melucci, Riccardo Miotto, Nicola Orio
Distributed Information Retrieval and Automatic Identification of Music Works in SAPIR. SEBD (2007)