Cited by
MIMIC-II Clinical Database (v2.6.0)
1172 publications cite any version of this project or its primary paper, newest first.
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SURF: Subject-Adaptive Unsupervised ECG Signal Compression for Wearable Fitness Monitors
Mohsen Hooshmand, Davide Zordan, Tommaso Melodia et al. IEEE Access, 2017. Cites: paper -
SYSTEMS-LEVEL MODELING AND VALIDATION OF CARDIOVASCULAR SYSTEM RESPONSES TO FLUID AND VASOPRESSOR INFUSION FOR AUTOMATED CRITICAL CARE SYSTEMS
Ramin Bighamian. University Libraries (University of Maryland), 2017. Cites: paper -
Modeling of the photoplethysmogram during atrial fibrillation
Andrius Sološenko, Andrius Petrėnas, Vaidotas Marozas et al. Computers in Biology and Medicine, 2016. Cites: paper -
Septic shock prediction for ICU patients via coupled HMM walking on sequential contrast patterns
Shameek Ghosh, Jinyan Li, Longbing Cao et al. Journal of Biomedical Informatics, 2016. Cites: paper -
Takagi–Sugeno Fuzzy Modeling Using Mixed Fuzzy Clustering
Cátia M. Salgado, Joaquim L. Viegas, Carlos S. Azevedo et al. IEEE Transactions on Fuzzy Systems, 2016. Cites: paper -
Red blood cell distribution width and neutrophil to lymphocyte ratio are associated with outcomes of adult subarachnoid haemorrhage patients admitted to intensive care unit
Yuan‐Lan Huang, Zhijun Han, Zhi-De Hu. Annals of Clinical Biochemistry International Journal of Laboratory Medicine, 2016. Cites: paper -
A Model-Based Machine Learning Approach to Probing Autonomic Regulation From Nonstationary Vital-Sign Time Series
Li-wei H. Lehman, Roger G. Mark, Shamim Nemati. IEEE Journal of Biomedical and Health Informatics, 2016. Cites: paper -
A General Framework for Density Based Time Series Clustering Exploiting a Novel Admissible Pruning Strategy
Nurjahan Begum, Liudmila Ulanova, Hoang Anh Dau et al. arXiv (Cornell University), 2016. Cites: paper -
Frequency Tree clustering for ICU mortality analytics using graph databases
Samir Abdelrahman, Bruce E. Bray. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2016. Cites: paper -
CAD Patient Classification Using MIMIC-II
S. Dey, Swagata Biswàs, Arpan Pal et al. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2016. Cites: paper -
Mixed Fuzzy Clustering for Misaligned Time Series
Cátia M. Salgado, Marta C. Ferreira, Susana Margarida Vieira. IEEE Transactions on Fuzzy Systems, 2016. Cites: paper -
Toward a Robust Estimation of Respiratory Rate From Pulse Oximeters
Marco A. F. Pimentel, Alistair E. W. Johnson, Peter H Charlton et al. IEEE Transactions on Biomedical Engineering, 2016. Cites: paper -
Hyposmolarity may be also associated with worse outcomes in patients with heart failure
Yanfei Shen, Kailei Du. International Journal of Cardiology, 2016. Cites: paper -
Establishment and Validation of GV-SAPS II Scoring System for Non-Diabetic Critically Ill Patients
Wen‐Yue Liu, Shigang Lin, Gui‐Qi Zhu et al. PLoS ONE, 2016. Cites: paper -
Reliable Collection of Real-Time Patient Physiologic Data from less Reliable Networks: a “Monitor of Monitors” System (MoMs)
Peter Hu, Shiming Yang, Hsiao-Chi Li et al. Journal of Medical Systems, 2016. Cites: paper -
Constructing a Bio-Signal Repository from an Intensive Care Unit for Effective Big-data Analysis
Sukhoon Lee, Jaeyeon Park, Doyeop Kim et al. ACM Conference on Embedded Networked Sensor Systems (SenSys), 2016. Cites: paper -
Predicting ARDS using the MIMIC II physiological database
Aline Taoum, Farah Mourad-Chehade, Hassan Amoud et al. IEEE International Multidisciplinary Conference on Engineering Technology (IMCET), 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 -
A clinical decision-making mechanism for context-aware and patient-specific remote monitoring systems using the correlations of multiple vital signs
Abdur Rahim Mohammad Forkan, Ibrahim Khalil. Computer Methods and Programs in Biomedicine, 2016. Cites: paper -
CABA: Continuous Authentication Based on BioAura
Arsalan Mosenia, Susmita Sur‐Kolay, Anand Raghunathan et al. IEEE Transactions on Computers, 2016. Cites: paper -
Data Mining on ICU Mortality Prediction Using Early Temporal Data: A Survey
Jianfeng Xu, Yuanjian Zhang, Peng Zhang et al. International Journal of Information Technology & Decision Making, 2016. Cites: paper -
Bidirectional LSTM-CRF for Clinical Concept Extraction
Raghavendra Chalapathy, Ehsan Zare Borzeshi, Massimo Piccardi. arXiv (Cornell University), 2016. Cites: paper -
Quadratic function between arterial partial oxygen pressure and mortality risk in sepsis patients: an interaction with simplified acute physiology score
Zhongheng Zhang, Xuqing Ji. Scientific Reports, 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 -
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
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.