Cited by
MIMIC-III Waveform Database (v1.0)
7936 publications cite any version of this project or its primary paper, newest first.
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Short-term prediction of low kidney function in ICU patients
Ricardo Pacheco, Cátia M. Salgado, Rodrigo Octávio Deliberato et al. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017. Cites: paper -
A System for Continuous Estimating and Monitoring Cardiac Output via Arterial Waveform Analysis.
A Vakily, H Parsaei, M. M. Movahhedi et al. PubMed Central, 2017. Cites: paper -
Semi-Automatic De-identification of Hospital Discharge Summaries with Natural Language Processing: A Case-Study of Performance and Real-World Usability
Ioan Calapodescu, David Rozier, Svetlana Artemova et al. IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 2017. Cites: paper -
Continuous State-Space Models for Optimal Sepsis Treatment - a Deep Reinforcement Learning Approach
Aniruddh Raghu, Matthieu Komorowski, Leo Anthony Celi et al. arXiv (Cornell University), 2017. Cites: paper -
Grounded Recurrent Neural Networks
Ankit Vani, Yacine Jernite, David Alexander Sontag. arXiv (Cornell University), 2017. Cites: paper -
Development of a novel score for the prediction of hospital mortality in patients with severe sepsis: the use of electronic healthcare records with LASSO regression
Zhongheng Zhang, Yucai Hong. Oncotarget, 2017. Cites: paper -
Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis
Ahmed M. Alaa, Scott B. Hu, Mihaela van der Schaar. arXiv (Cornell University), 2017. Cites: paper -
Association between fluid intake and mortality in critically ill patients with negative fluid balance: a retrospective cohort study
Yanfei Shen, Xinmei Huang, Weimin Zhang. Critical Care, 2017. Cites: paper -
Data Canopy
Abdul Wasay, Xinding Wei, Niv Dayan et al. ACM SIGMOD International Conference on Management of Data (SIGMOD), 2017. Cites: paper -
Malicious behavior monitoring of embedded medical devices
Razan Abdulhammed, Miad Faezipour, Khaled M. Elleithy. IEEE Long Island Systems, Applications and Technology Conference (LISAT), 2017. Cites: paper -
Hypoxic hepatitis — its biochemical profile, causes and risk factors of mortality in critically-ill patients: A cohort study of 565 patients
Mohammed M. Aboelsoud, Amen I. Javaid, Mazen O. Al‐Qadi et al. Journal of Critical Care, 2017. Cites: paper -
Neural Causal Regularization under the Independence of Mechanisms Assumption
Mohammad Taha Bahadori, Krzysztof Chalupka, Edward Choi et al. 2017. Cites: paper -
Variational Recurrent Adversarial Deep Domain Adaptation
Sanjay Purushotham, Wilka Carvalho, Tanachat Nilanon et al. International Conference on Learning Representations, 2017. Cites: paper -
A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units
Niranjani Prasad, Lifang Cheng, Corey Chivers et al. arXiv (Cornell University), 2017. Cites: paper -
Evidence appraisal: a scoping review, conceptual framework, and research agenda
Andrew Goldstein, Eric Venker, Chunhua Weng. Journal of the American Medical Informatics Association, 2017. Cites: paper -
SwellShark: A Generative Model for Biomedical Named Entity Recognition without Labeled Data
Jason Fries, Sen Wu, Alexander Ratner et al. arXiv (Cornell University), 2017. Cites: paper -
Discriminative and Distinct Phenotyping by Constrained Tensor Factorization
Yejin Kim, Robert E. El-Kareh, Jimeng Sun et al. Scientific Reports, 2017. Cites: paper -
A Mortality Study for ICU Patients Using Bursty Medical Events
Luca Bonomi, Xiaoqian Jiang. IEEE International Conference on Data Engineering (ICDE), 2017. Cites: paper -
Survival Topic Models for Predicting Outcomes for Trauma Patients
Yuanyang Zhang, Richard Jiang, Linda Ruth Petzold. IEEE International Conference on Data Engineering (ICDE), 2017. Cites: paper -
A path to precision in the ICU
David M. Maslove, François Lamontagne, John C. Marshall et al. Critical Care, 2017. Cites: paper -
Sparse Multi-Output Gaussian Processes for Medical Time Series Prediction
Lifang Cheng, Gregory Darnell, Bianca Dumitrascu et al. arXiv (Cornell University), 2017. Cites: paper -
Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks.
Edward Choi, Siddharth Biswal, Bradley Malin et al. arXiv (Cornell University), 2017. Cites: paper -
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
Edward Choi, Siddharth Biswal, Bradley Malin et al. arXiv (Cornell University), 2017. Cites: paper -
Linking temporal medical records using non-protected health information data
Luca Bonomi, Xiaoqian Jiang. Statistical Methods in Medical Research, 2017. Cites: paper -
Big Data Analyses in Health and Opportunities for Research in Radiology
Yindalon Aphinyanaphongs. Seminars in Musculoskeletal Radiology, 2017. Cites: paper -
Respiratory rate estimation from the photoplethysmogram via joint sparse signal reconstruction and spectra fusion
Xiaorong Zhang, Quan Ding. Biomedical Signal Processing and Control, 2017. Cites: paper -
Condensed Memory Networks for Clinical Diagnostic Inferencing
Aaditya Prakash, Siyuan Zhao, Sadid A. Hasan et al. AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)), 2017. Cites: paper -
Causal Regularization
Mohammad Taha Bahadori, Krzysztof Chalupka, Edward Choi et al. arXiv (Cornell University), 2017. Cites: paper -
Association of do-not-resuscitate order and survival in patients with severe sepsis and/or septic shock
Zhongheng Zhang, Yucai Hong, Ning Liu et al. Intensive Care Medicine, 2017. Cites: paper -
AKI-CLIF-SOFA: a novel prognostic score for critically ill cirrhotic patients with acute kidney injury
Dan‐Qin Sun, Chenfei Zheng, Wen‐Yue Liu et al. Aging, 2017. Cites: paper -
A Dynamic Data Warehousing Platform for Creating and Accessing Biomedical Data Lakes
Pradeeban Kathiravelu, Ashish Sharma. Lecture notes in computer science, 2017. Cites: paper -
An Automated System for Categorizing Transthoracic Echocardiography Indications According to the Echocardiography Appropriate Use Criteria.
Aaron S. Eisman, Rory B. Weiner, Elizabeth S Chen et al. PubMed Central, 2017. Cites: paper -
A New Temporal Abstraction for Health Diagnosis Prediction using Deep Recurrent Networks
Alireza Manashty, Janet Light Thomson. International Database Engineering & Applications Symposium (IDEAS), 2017. Cites: paper -
A Practical Approach to Machine Learning for Clinical Decision Support
Daniel Miller, David Scheinker, Nicholas Bambos C. Springer proceedings in mathematics & statistics, 2017. Cites: paper -
A Short Review of Ethical Challenges in Clinical Natural Language Processing
Simon Šuster, Stéphan Tulkens, Walter M. P. Daelemans. 2017. Cites: paper -
Association between elevated central venous pressure and outcomes in critically ill patients
Dongkai Li, Xiaoting Wang, Dawei Liu. Annals of Intensive Care, 2017. Cites: paper -
Big data in healthcare - the promises, challenges and opportunities from a research perspective: A case study with a model database.
Mohammad Adibuzzaman, Po-Ching C. DeLaurentis, Jennifer Hill et al. PubMed Central, 2017. Cites: paper -
BioNLP 2017
2017. Cites: paper -
Clinical Event Detection with Hybrid Neural Architecture
Adyasha Maharana, Meliha Yetişgen. 2017. Cites: paper -
CREST - Risk Prediction for Clostridium Difficile Infection Using Multimodal Data Mining
Cansu Şen, Thomas Hartvigsen, Elke Angelika Rundensteiner et al. Lecture notes in computer science, 2017. Cites: paper -
Distant Supervision with Transductive Learning for Adverse Drug Reaction Identification from Electronic Medical Records
Siriwon Taewijit, Thanaruk Theeramunkong, Mitsuru Ikeda. Journal of Healthcare Engineering, 2017. Cites: paper -
Effects of Varying Sampling Frequency on the Analysis of Continuous ECG Data Streams
Ruhi Mahajan, Rishikesan Kamaleswaran, Oğuz Akbilgiç. Lecture notes in computer science, 2017. Cites: paper -
Enabling Machine Learning in Critical Care.
Tom Pollard, Leo Anthony Celi. PubMed, 2017. Cites: paper -
Ethical Research Protocols for Social Media Health Research
Adrian Benton, Glen Coppersmith, Mark H. Dredze. 2017. Cites: paper -
GUIR at SemEval-2017 Task 12: A Framework for Cross-Domain Clinical Temporal Information Extraction
Sean MacAvaney, Arman Cohan, Nazli Goharian. International Workshop on Semantic Evaluation (SemEval), 2017. Cites: paper -
Hierarchical Genetic Algorithm and Fuzzy Radial Basis Function Networks for Factors Influencing Hospital Length of Stay Outliers
Ahmed Belderrar, Abdeldjebar Hazzab. Healthcare Informatics Research, 2017. Cites: paper -
Identifying Psychiatric Comorbidities for Obstructive Sleep Apnea in the Biomedical Literature and Electronic Health Record.
Jessica M. Haddad, Elizabeth S Chen. PubMed Central, 2017. Cites: paper -
Improving Pattern Detection in Healthcare Process Mining Using an Interval-Based Event Selection Method
Amirah Alharbi, Andrew J. Bulpitt, Owen Ashby Johnson. Lecture notes in business information processing, 2017. Cites: paper -
LIMSI-COT at SemEval-2017 Task 12: Neural Architecture for Temporal Information Extraction from Clinical Narratives
Julien Tourille, Olivier Ferret, Xavier Tannier et al. International Workshop on Semantic Evaluation (SemEval), 2017. Cites: paper -
Machine Learning Methods To Identify Hidden Phenotypes In The Electronic Health Record
Brett K. Beaulieu‐Jones. ScholarlyCommons (University of Pennsylvania), 2017. Cites: paper
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.