Cited by
MIMIC-II Clinical Database (v2.6.0)
1148 publications cite any version of this project or its primary paper, newest first.
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Prediction of mortality in patients with sepsis using detrended fluctuation analysis of Heart Rate Variability
Peyman Ghasemi, Mohammad Reza Raoufy. National and International Iranian Conference on Biomedical Engineering (ICBME), 2016. Cites: paper -
Proceedings of the 15th Workshop on Biomedical Natural Language Processing
2016. Cites: paper -
Residual Confounding Lurking in Big Data: A Source of Error
John Danziger, Andrew J. Zimolzak. Springer eBooks, 2016. Cites: paper -
Reusable Filtering Functions for Application in ICU data: a case study.
Vincent J. Major, Monique S. Tanna, Simon Jones et al. PubMed Central, 2016. Cites: paper -
Semantic Knowledge Base Construction from Radiology Reports
Eriksson Monteiro, Pedro Sernadela, Sérgio Matos et al. International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC), 2016. Cites: paper -
Signal Enhancement Applied to Pulse Transit Time Measurement
Xiaochuan He. 2016. Cites: paper -
Signal Processing: False Alarm Reduction
Qiao Li, Gari D. Clifford. Springer eBooks, 2016. Cites: paper -
SuperAlarm: System and Methods to Predict In-Hospital Patient Deterioration and Alleviate Alarm Fatigue
Yong Bai. eScholarship (California Digital Library), 2016. Cites: paper -
Uncovering Locally Discriminative Structure for Feature Analysis
Sen Wang, Feiping Nie, Xiaojun Chang et al. Lecture notes in computer science, 2016. Cites: paper -
Unsupervised Resolution of Acronyms and Abbreviations in Nursing Notes Using Document-Level Context Models
Katrin Kirchhoff, Anne M. Turner. International Workshop on Health Text Mining and Information Analysis (LOUHI), 2016. Cites: paper -
Waveform Analysis to Estimate Respiratory Rate
Peter H Charlton, Mauricio Villarroel, Francisco Salguiero. Springer eBooks, 2016. Cites: paper -
Classification of hospital acquired complications using temporal clinical information from a large electronic health record
Jeremy Lyle Warner, Peijin Zhang, Jenny X. Liu et al. Journal of Biomedical Informatics, 2015. Cites: paper -
Feature Representation for ICU Mortality
Harini Suresh. arXiv (Cornell University), 2015. Cites: paper -
Perpetual and Virtual Patients for Cardiorespiratory Physiological Studies
David Brossier, Michaël Sauthier, Xavier Alacoque et al. Journal of Pediatric Intensive Care, 2015. Cites: paper -
Distilling Knowledge from Deep Networks with Applications to Healthcare Domain
Zhengping Che, Sanjay Purushotham, Robinder G. Khemani et al. arXiv (Cornell University), 2015. Cites: paper -
Phenome-Wide Association Study
Jeremy Lyle Warner, Joshua C. Denny. Elsevier eBooks, 2015. Cites: paper -
A Machine Learning Approach to False Alarm Detection for Critical Arrhythmia Alarms
Xing Wang, Yifeng Gao, Jessica Lin et al. International Conference on Machine Learning and Applications, 2015. Cites: paper -
The development of human biometric identification using acceleration plethysmogram
Khairul Azami Sidek, Nur Izzati Zainal, Siti Nurfarah Ain Mohd Azam et al. The International Islamic University Malaysia Repository (The International Islamic University Malaysia), 2015. Cites: paper -
Sodium modelling to reduce intradialytic hypotension during haemodialysis for acute kidney injury in the intensive care unit
Katherine E. Lynch, Fatimah Ghassemi, Jennifer E. Flythe et al. Nephrology, 2015. Cites: paper -
Comparison between invasive and non-invasive blood pressure in young, middle and old age
Bing Liu, Li Qiao, Peng Qiu. Blood Pressure, 2015. Cites: paper -
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
Edward Choi, Mohammad Taha Bahadori, Andy Schuetz et al. Europe PMC (PubMed Central), 2015. Cites: paper -
VERTIcal Grid lOgistic regression (VERTIGO)
Yong Li, Xiaoqian Jiang, Shuang Wang et al. Journal of the American Medical Informatics Association, 2015. Cites: paper -
Ensemble fuzzy models in personalized medicine: Application to vasopressors administration
Cátia M. Salgado, Susana Margarida Vieira, Luís F. Mendonça et al. Engineering Applications of Artificial Intelligence, 2015. Cites: paper -
Automated Feature Learning: Mining Unstructured Data for Useful Abstractions
Abhishek Bafna, Jenna Wiens. Proceedings, 2015. Cites: paper -
Constructing Disease Network and Temporal Progression Model via Context-Sensitive Hawkes Process
Edward Choi, Nan Du, Robert E. Chen et al. Proceedings, 2015. Cites: paper -
Empirical modelling for dynamic visualization of ICU patient data streams
Keovessna Vong, Suwanna Rasmequan, Krisana Chinnasarn et al. Biomedical Engineering International Conference, 2015. Cites: paper -
False alarm suppression in early prediction of cardiac arrhythmia
Shoumik Roychoudhury, Mohamed F. Ghalwash, Zoran Obradovic A. IEEE International Conference on Bioinformatics and Bioengineering (BIBE), 2015. Cites: paper -
Sparse Hierarchical Tucker Factorization and Its Application to Healthcare
Ioakeim Perros, Robert E. Chen, Richard W. Vuduc et al. Proceedings, 2015. Cites: paper -
Developing new predictive alarms based on ECG metrics for bradyasystolic cardiac arrest
Quan Ding, Yong Bai, Adelita Tinoco et al. Physiological Measurement, 2015. Cites: paper -
Obesity, Acute Kidney Injury, and Mortality in Critical Illness
John Danziger, Ken P. Chen, Joon Lee et al. Critical Care Medicine, 2015. Cites: paper -
Learning probabilistic phenotypes from heterogeneous EHR data
Rimma Pivovarov, Rimma Perotte, Édouard Grave et al. Journal of Biomedical Informatics, 2015. Cites: paper -
Learning (predictive) risk scores in the presence of censoring due to interventions
Kirill Dyagilev, Suchi Saria. Machine Learning, 2015. Cites: paper -
Trending autoregulatory indices during treatment for traumatic brain injury
Nam Kim, Alex Krasner, Colin Kosinski et al. Journal of Clinical Monitoring and Computing, 2015. Cites: paper -
Real alerts and artifact classification in archived multi-signal vital sign monitoring data: implications for mining big data
Marilyn Hravnak, Lujie Chen, Artur W. Dubrawski et al. Journal of Clinical Monitoring and Computing, 2015. Cites: paper -
Big data in outcome prediction of cancer: Current landscape and perspective
WenYang Liu, Jing Jin. Chinese Science Bulletin (Chinese Version), 2015. Cites: paper -
Clinico-genomic Data Analytics for Precision Diagnosis and Disease Management
Anuja Kench, Vandana Pursnani Janeja, Yelena Yesha et al. IEEE International Conference on Healthcare Informatics (ICHI), 2015. Cites: paper -
Multi-probe random projection clustering to secure very large distributed datasets
Lee A. Carraher, Philip A. Wilsey, Anindya Moitra et al. IEEE International Conference on Big Data (BigData), 2015. Cites: paper -
Necessity of laboratory blood tests in intensive care unit using data mining
Golnar Khalili-Zadeh-Mahani, Mohammad-Reza Zare-Mirakabad, Vali Derhami. International Conference on Computer and Knowledge Engineering, 2015. Cites: paper -
Photoplethysmography-Based Method for Automatic Detection of Premature Ventricular Contractions
Andrius Sološenko, Andrius Petrėnas, Vaidotas Marozas. IEEE Transactions on Biomedical Circuits and Systems, 2015. Cites: paper -
Simultaneous Prognosis and Exploratory Analysis of Multiple Chronic Conditions Using Clinical Notes
Shalmali D. Joshi, Sanmi Koyejo, Kristine Resurreccion et al. IEEE International Conference on Healthcare Informatics (ICHI), 2015. Cites: paper -
Text Classification-Based Automatic Recruitment of Patients for Clinical Trials: A Silver Standards-Based Case Study
Bisakha Ray, Yindalon Aphinyanaphongs, Sean P. Heffron. IEEE International Conference on Healthcare Informatics (ICHI), 2015. Cites: paper -
Advanced State Space Methods for Neural and Clinical Data
Cambridge University Press eBooks, 2015. Cites: paper -
Bayesian nonparametric learning of switching dynamics in cohort physiological time series: application in critical care patient monitoring
Li-wei H. Lehman, M. J. Johnson, Shamim Nemati et al. Cambridge University Press eBooks, 2015. Cites: paper -
Signal quality indices for state space electrophysiological signal processing and vice versa
Julien Oster, Gari D. Clifford. Cambridge University Press eBooks, 2015. Cites: paper -
Adaptive online monitoring for ICU patients by combining just-in-time learning and principal component analysis
Xuejian Li, Youqing Wang. Journal of Clinical Monitoring and Computing, 2015. Cites: paper -
Exploiting big data for critical care research
Annemarie Beth Docherty, Nazir Lone. Current Opinion in Critical Care, 2015. Cites: paper -
Renal Outcomes in Critically Ill Patients Receiving Propofol or Midazolam
Tacyano Tavares Leite, Etienne M. Macedo, Izânio da Silva Martins et al. Clinical Journal of the American Society of Nephrology, 2015. Cites: paper -
Lightweight Lossy Compression of Biometric Patterns via Denoising Autoencoders
Davide Del Testa, Michele Rossi. IEEE Signal Processing Letters, 2015. Cites: paper -
A visualization of evolving clinical sentiment using vector representations of clinical notes
Mohammad M. Ghassemi, Roger G. Mark, Shamim Nemati. Computing in cardiology, 2015. Cites: paper -
D4M: Bringing associative arrays to database engines
Vijay N. Gadepally, Jeremy Kepner, William Arcand et al. IEEE High Performance Extreme Computing Conference, 2015. Cites: paper
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.