Cited by
MIMIC-III Waveform Database Matched Subset (v1.0)
7929 publications cite any version of this project or its primary paper, newest first.
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The Epimed Monitor ICU Database®: a cloud-based national registry for adult intensive care unit patients in Brazil
Fernando Godinho Zampieri, Márcio Soares, Lunna Perdigão Borges et al. Revista Brasileira de Terapia Intensiva, 2017. Cites: paper -
The Semantic Data Dictionary Approach to Data Annotation & Integration.
Sabbir M. Rashid, Katherine Chastain, Jeanette A. Stingone et al. 2017. Cites: paper -
Toward Automated Early Sepsis Alerting: Identifying Infection Patients from Nursing Notes
Emilia Apostolova, Tom Velez. 2017. Cites: paper -
Unsupervised Context-Sensitive Spelling Correction of Clinical Free-Text with Word and Character N-Gram Embeddings
Pieter Fivez, Simon Šuster, Walter M. P. Daelemans. 2017. Cites: paper -
Using Transfer Learning for Improved Mortality Prediction in a Data-Scarce Hospital Setting
Thomas Desautels, Jacob S. Calvert, Jana L. Hoffman et al. Biomedical Informatics Insights, 2017. Cites: paper -
Unsupervised Learning for Computational Phenotyping
Chris Hodapp. arXiv (Cornell University), 2016. Cites: paper -
Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts
Anne Cocos, Alexander G. Fiks, Aaron J. Masino. Journal of the American Medical Informatics Association, 2016. Cites: paper -
Assessing the Corpus Size vs. Similarity Trade-off for Word Embeddings in Clinical NLP
Kirk E Roberts. International Conference on Computational Linguistics, 2016. Cites: paper -
Clinical named entity recognition: Challenges and opportunities
Srinivasa Rao Kundeti, J. Vijayananda, Srikanth Mujjiga et al. IEEE International Conference on Big Data (BigData), 2016. Cites: paper -
Iterative unified clustering in big data
Vasundhara Misal, Vandana Pursnani Janeja, Sai C. Pallaprolu et al. IEEE International Conference on Big Data (BigData), 2016. Cites: paper -
Neural Document Embeddings for Intensive Care Patient Mortality Prediction
Paulina Grnarova, Schmidt, Florian, Stephanie L. Hyland et al. arXiv (Cornell University), 2016. Cites: paper -
Bidirectional LSTM-CRF for Clinical Concept Extraction
Raghavendra Chalapathy, Ehsan Zare Borzeshi, Massimo Piccardi. arXiv (Cornell University), 2016. Cites: paper -
GRAM: Graph-based Attention Model for Healthcare Representation Learning
Edward Choi, Mohammad Taha Bahadori, Le Song et al. arXiv (Cornell University), 2016. Cites: paper -
Feature-Augmented Neural Networks for Patient Note De-identification
Ji Young Lee, Franck Dernoncourt, Özlem Uzuner et al. arXiv (Cornell University), 2016. Cites: paper -
Bidirectional LSTM-CRF for Clinical Concept Extraction
Raghavendra Chalapathy, Ehsan Zare Borzeshi, Massimo Piccardi. arXiv (Cornell University), 2016. Cites: paper -
De-identification of patient notes with recurrent neural networks
Franck Dernoncourt, Ji Young Lee, Özlem Uzuner et al. Journal of the American Medical Informatics Association, 2016. Cites: paper -
The power of capturing and using information at the point of care
William H. Gruber, Adam C. Powell, John Blake Torous. Healthcare, 2016. Cites: paper -
Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach
Thomas Desautels, Jacob S. Calvert, Jana L. Hoffman et al. JMIR Medical Informatics, 2016. Cites: paper -
Closing the Data Loop: An Integrated Open Access Analysis Platform for the MIMIC Database
Mohammad Adibuzzaman, Ken Musselman, Alistair E. W. Johnson et al. Computing in cardiology, 2016. Cites: paper -
Using electronic health record collected clinical variables to predict medical intensive care unit mortality
Jacob S. Calvert, Qingqing Mao, Jana L. Hoffman et al. Annals of Medicine and Surgery, 2016. Cites: paper -
Closing the Data Loop: An Integrated Open Access Analysis Platform for the MIMIC Database.
Mohammad Adibuzzaman, Ken Musselman, Alistair E. W. Johnson et al. PubMed, 2016. Cites: paper -
Predicting Hospital Readmission.
Seth Jelinek, Pete Yunyongying. PubMed, 2016. Cites: paper -
An Ensemble Model of Clinical Information Extraction and Information Retrieval for Clinical Decision Support.
Yanshan Wang, Majid Rastegar-Mojarad, Ravikumar Komandur Elayavilli et al. Text REtrieval Conference, 2016. Cites: paper -
Clinical Question Answering using Key-Value Memory Networks and Knowledge Graph.
Sadid A. Hasan, Siyuan Zhao, Vivek V. Datla et al. Text REtrieval Conference, 2016. Cites: paper -
Towards a Benchmark for Interactive Data Exploration.
Philipp Eichmann, Emanuel Zgraggen, Zheguang Zhao et al. IEEE Data(base) Engineering Bulletin, 2016. Cites: paper -
Using Distributed Representations to Disambiguate Biomedical and Clinical Concepts
Stéphan Tulkens, Simon Šuster, Walter M. P. Daelemans. Workshop on Biomedical Natural Language Processing (BioNLP), 2016. Cites: paper -
Secteur de la distribution des articles de sport
Addou Sarah. Publications Docs-en-stock.com, 2014. Cites: paper -
En los orígenes del encastillamiento: murallas urbanas y castillos tardo-romanos
Enrique Gozálbes Cravioto. Castillos de España: publicación de la Asociación Española de Amigos de los Castillos, 2003. Cites: paper -
Orphan G-protein coupled receptors: novel drug targets for the pharmaceutical industry.
Shelagh Wilson, Derk J. Bergsma. PubMed, 2000. Cites: paper
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.