Publications citing MIMIC-II Clinical Database v2.6.0

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

Intensive Care Unit – Clinical Decision Support System
Seçil Bayrak, Yunus Doğan, Alp Kut et al. 2016. Cites: paper

Understanding vasopressor intervention and weaning: risk prediction in a public heterogeneous clinical time series database
Mike Wu, Marzyeh Ghassemi, Mengling Feng et al. Journal of the American Medical Informatics Association, 2016. Cites: paper

A Novel Temporal Similarity Measure for Patients Based on Irregularly Measured Data in Electronic Health Records
Ying Sha, Janani Venugopalan, May Dongmei Wang. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), 2016. Cites: paper

Phenotyping Intensive Care Unit Patients Using Temporal Abstractions and Temporal Pattern Matching
Claudio Daza, Josefa Santa María, Ignacio Gomez et al. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), 2016. Cites: paper

An accurate mortality prediction method based on decision-level fusion of existing ICU scoring systems
Yasutaka Hatakeyama, Takahiro Ogawa, Hirokazu Tanaka et al. International Symposium on Information Theory and its Applications, 2016. Cites: paper

Mining the Clinical Narrative: All Text are Not Equal
Keith Feldman, Nicholas Hazekamp, Nitesh V. Chawla. IEEE International Conference on Healthcare Informatics (ICHI), 2016. Cites: paper

HIL
Jason Hennessey, Sahil Tikale, Ata Türk et al. ACM Symposium on Cloud Computing (SoCC), 2016. Cites: paper

A Survey of Wearable Biometric Recognition Systems
Jorge Blasco, Tom Chen, Juan Tapiador et al. ACM Computing Surveys, 2016. Cites: paper

Identifying coronary artery disease from photoplethysmogram
Rohan Banerjee, Vempada Ramu Reddy, Kayapanda Muthana Mandana et al. ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), 2016. Cites: paper

GIST 2.0: A scalable multi-trait metric for quantifying population representativeness of individual clinical studies
A. K. Sen, Shreya Chakrabarti, Andrew Goldstein et al. Journal of Biomedical Informatics, 2016. Cites: paper

WritingHacker
Tuo Yu, Haiming Jin, Klara Nahrstedt. ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), 2016. Cites: paper

Diagnosis Code Assignment Using Sparsity-Based Disease Correlation Embedding
Sen Wang, Xiaojun Chang, Xue Li et al. IEEE Transactions on Knowledge and Data Engineering, 2016. Cites: paper

Biomedical signal compression with time- and subject-adaptive dictionary for wearable devices
Valentina Vadori, Enrico Grisan, Michele Rossi. Machine learning for signal processing ..., 2016. Cites: paper

Classification of morphologic changes in photoplethysmographic waveforms
Timo Tigges, Zenit Music, Alexandru Pielmuş et al. Current Directions in Biomedical Engineering, 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

Cross-engine query execution in federated database systems
Ankush M. Gupta, Vijay N. Gadepally, Michael R Stonebraker. IEEE High Performance Extreme Computing Conference, 2016. Cites: paper

Data fusion for predicting ARDS using the MIMIC II physiological database
Aline Taoum, Farah Mourad-Chehade, Hassan Amoud et al. IEEE International Conference on e-Health Networking, Applications and Services (Healthcom), 2016. Cites: paper

Efficient electrocardiogram (ECG) lossy compression scheme
Anas Hatim, Rachid Latif, El Bachari Oussama et al. 2016. Cites: paper

The BigDawg monitoring framework
Peinan Chen, Vijay N. Gadepally, Michael R Stonebraker. IEEE High Performance Extreme Computing Conference, 2016. Cites: paper

The BigDAWG polystore system and architecture
Vijay N. Gadepally, Peinan Chen, Jennie Duggan et al. IEEE High Performance Extreme Computing Conference, 2016. Cites: paper

Datathons and Software to Promote Reproducible Research
Leo Anthony Celi, Sharukh Lokhandwala, Robert Montgomery et al. Journal of Medical Internet Research, 2016. Cites: paper

WaveformECG: A Platform for Visualizing, Annotating, and Analyzing ECG Data
Raimond L. Winslow, Stephen J. Granite, Christian Jurado. Computing in Science & Engineering, 2016. Cites: paper

A long journey to short abbreviations: developing an open-source framework for clinical abbreviation recognition and disambiguation (CARD)
Yonghui Wu, Joshua C. Denny, S. Trent Rosenbloom et al. Journal of the American Medical Informatics Association, 2016. Cites: paper

Prediction Is Difficult, Especially About Future Unexpected Deterioration*
ANDREW J. E. SEELY. Critical Care Medicine, 2016. Cites: paper

Heterogeneous Sensing and Predictive Modeling of Postoperative Outcomes
Yun Chen, Fabio M. Leonelli, Hui Yong Yang. John Wiley & Sons, Inc. eBooks, 2016. Cites: paper

Predictive Analytics in 30-Day Hospital Readmissions for Heart Failure Patients
Si-Chi Chin, Rui Liu, Senjuti Basu Roy. John Wiley & Sons, Inc. eBooks, 2016. Cites: paper

Errors, Omissions, and Outliers in Hourly Vital Signs Measurements in Intensive Care
David M. Maslove, Joel A. Dubin, Arvind Shrivats et al. Critical Care Medicine, 2016. Cites: paper

Lactated Ringer Is Associated With Reduced Mortality and Less Acute Kidney Injury in Critically Ill Patients: A Retrospective Cohort Analysis*
Fernando Godinho Zampieri, Otavio Ranzani, Luciano César Pontes Azevedo et al. Critical Care Medicine, 2016. Cites: paper

Analysis of locality-sensitive hashing for fast critical event prediction on physiological time series
Yongwook Bryce Kim, Una-May O’Reilly. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016. Cites: paper

Early warnings of heart rate deterioration
Vânia Almeida, Ian T. Nabney. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016. Cites: paper

Infographic Visual Analytics based on Empirical Modelling for ICU patient data streams
Keovessna Vong, Suwanna Rasmequan, Krisana Chinnasarn et al. International Conference on Advanced Informatics: Concepts, Theory and Applications (ICAICTA), 2016. Cites: paper

Multi-view non-negative tensor factorization as relation learning in healthcare data
Hang Wu, May Dongmei Wang. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016. Cites: paper

Optimal medication dosing from suboptimal clinical examples: A deep reinforcement learning approach
Shamim Nemati, Mohammad M. Ghassemi, Gari D. Clifford. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016. Cites: paper

Predicting short-term ICU outcomes using a sequential contrast motif based classification framework
Shameek Ghosh, Hung Tan Nguyen, Jinyan Li. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016. Cites: paper

Prediction using patient comparison vs. modeling: A case study for mortality prediction
Mark Hoogendoorn, Ali el Hassouni, Kwongyen Mok et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016. Cites: paper

Robust estimation of respiratory rate via ECG- and PPG-derived respiratory quality indices
Drew A. Birrenkott, Marco A. F. Pimentel, Peter Watkinson et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016. Cites: paper

Stratified locality-sensitive hashing for accelerated physiological time series retrieval
Yongwook Bryce Kim, Erik Hemberg, Una-May O’Reilly. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016. Cites: paper

Using demographic and time series physiological features to classify sepsis in the intensive care unit
Kristin M. Gunnarsdottir, Vijay Sadashivaiah, Matthew S. D. Kerr et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016. Cites: paper

A NOVEL CONTINUOUS AND NONINVASIVE MEASUREMENT FOR BLOOD PRESSURE BASED ON PHOTOPLETHYSMOGRAPHY
Xiru Li, XIAOFENG LI, Jinlin Xu et al. Journal of Mechanics in Medicine and Biology, 2016. Cites: paper

A portable respiratory rate estimation system with a passive single-lead electrocardiogram acquisition module
Nazrul Anuar Nayan, Nur Sabrina Risman, Rosmina Jaafar. Technology and Health Care, 2016. Cites: paper

A practical algorithm to reduce false critical ECG alarms using arterial blood pressure and/or photoplethysmogram waveforms
Wei Zong, Larry Nielsen, Brian D. Gross et al. Physiological Measurement, 2016. Cites: paper

False alarm reduction in critical care
Gari D. Clifford, Ikaro Silva, Benjamin Moody et al. Physiological Measurement, 2016. Cites: paper

Brain Tissue Oxygen Monitoring and the Intersection of Brain and Lung: A Comprehensive Review
Laura Benjamin Ngwenya, John F Burke, Geoffrey T. Manley. Respiratory Care, 2016. Cites: paper

Fuzzy modeling to predict short and long-term mortality among patients with Acute Kidney Injury
Vanessa S. Cunha, Cátia M. Salgado, Susana Margarida Vieira et al. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016. Cites: paper

Predicting ICU readmissions based on bedside medical text notes
Sérgio Curto, João Paulo Carvalho, Cátia M. Salgado et al. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016. Cites: paper

A Big-Data platform for Medical Knowledge Extraction from Electronic Health Records
Costas Sideris, Sakib Shaikh, Haik Kalantarian et al. ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA), 2016. Cites: paper

Use of Electronic Health Record Data to Evaluate the Impact of Race on 30-Day Mortality in Patients Admitted to the Intensive Care Unit
Mallika L. Mundkur, Fiona M. Callaghan, Swapna Abhyankar et al. Journal of Racial and Ethnic Health Disparities, 2016. Cites: paper

Energy landscapes for a machine-learning prediction of patient discharge
Ritankar Das, David J. Wales. Physical review. E, 2016. Cites: paper

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