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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Management of Atrial Fibrillation with Rapid Ventricular Response in the Intensive Care Unit
Ari L. Moskowitz, Kenneth P. Chen, Avraham Z. Cooper et al. Shock, 2017. Cites: paper -
Quantifying the Mortality Impact of Do-Not-Resuscitate Orders in the ICU*
Lior Fuchs, Matthew Anstey, Mengling Feng et al. Critical Care Medicine, 2017. Cites: paper -
Hemodynamic Characterization of Peripheral Arterio-venous Malformations
Sabrina Frey, Axel Haine, R. Kammer et al. Annals of Biomedical Engineering, 2017. Cites: paper -
The Use of Autoencoders for Discovering Patient Phenotypes
Harini Suresh, Peter Szolovits B, Marzyeh Ghassemi. arXiv (Cornell University), 2017. Cites: paper -
Learning Multiple Diagnosis Codes for ICU Patients with Local Disease Correlation Mining
Sen Wang, Xue Li, Xiaojun Chang et al. ACM Transactions on Knowledge Discovery from Data, 2017. Cites: paper -
Patient Similarity in Prediction Models Based on Health Data: A Scoping Review
Anis Sharafoddini, Joel A. Dubin, Joon Lee. JMIR Medical Informatics, 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 -
The association between sodium fluctuations and mortality in surgical patients requiring intensive care
Dominic Charles Marshall, Justin D. Salciccioli, Ross J. Goodson et al. Journal of Critical Care, 2017. Cites: paper -
Photoplethysmography sampling frequency: pilot assessment of how low can we go to analyze pulse rate variability with reliability?
Ahyoung Choi, Hang‐Sik Shin. Physiological Measurement, 2017. Cites: paper -
BigDAWG Polystore Release and Demonstration
Kyle H. O’Brien, Vijay N. Gadepally, Jennie Duggan et al. arXiv (Cornell University), 2017. Cites: paper -
Patient-Specific Predictive Modeling Using Random Forests: An Observational Study for the Critically Ill
Joon Lee. JMIR Medical Informatics, 2017. Cites: paper -
PEACE-Home: Probabilistic estimation of abnormal clinical events using vital sign correlations for reliable home-based monitoring
Abdur Rahim Mohammad Forkan, Ibrahim Khalil. Pervasive and Mobile Computing, 2017. Cites: paper -
ViSiBiD: A learning model for early discovery and real-time prediction of severe clinical events using vital signs as big data
Abdur Rahim Mohammad Forkan, Ibrahim Khalil, Mohammed Atiquzzaman. Computer Networks, 2017. Cites: paper -
An Emerging Role for Polystores in Precision Medicine
Edmon Begoli, J. Blair Christian, Vijay N. Gadepally et al. Lecture notes in computer science, 2017. Cites: paper -
Annotating the Clinical Text – MiPACQ, ShARe, SHARPn and THYME Corpora
Guergana Savova, Sameer Pradhan, Martha Stone Palmer et al. Springer eBooks, 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 -
Automated early warning system for septic shock: the new way to achieve intensive care unit quality improvement?
Fábio Ferreira Amorim, Alfredo Nicodemos Cruz Santana. Annals of Translational Medicine, 2017. Cites: paper -
Clinical Named Entity Recognition Using Deep Learning Models.
Yonghui Wu, Min Jiang, Jun Xu et al. PubMed Central, 2017. Cites: paper -
Cost Sensitive Time-Series Classification
Shoumik Roychoudhury, Mohamed F. Ghalwash, Zoran Obradovic A. Lecture notes in computer science, 2017. Cites: paper -
Demonstrating the BigDAWG Polystore System for Ocean Metagenomics Analysis.
Tim Mattson, Vijay N. Gadepally, Zuohao She et al. Conference on Innovative Data Systems Research, 2017. Cites: paper -
Estimating patient's health state using latent structure inferred from clinical time series and text
Aaron D. Zalewski, William Long, Alistair E. W. Johnson et al. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2017. Cites: paper -
Exploiting Unlabeled Texts with Clustering-based Instance Selection for Medical Relation Classification.
Young-Jun Kim, Ellen Riloff, Stéphane M Meystre. PubMed Central, 2017. Cites: paper -
Interactive Visualization and Exploration of Patient Progression in a Hospital Setting.
Wathsala Widanagamaachchi, Yarden Livnat, Peer‐Timo Bremer et al. PubMed Central, 2017. Cites: paper -
Interweaving Domain Knowledge and Unsupervised Learning for Psychiatric Stressor Extraction from Clinical Notes
Olivia R Zhang, Yaoyun Zhang, Jun Xu et al. Lecture notes in computer science, 2017. Cites: paper -
Performance Analysis of GMM Classifier for Classification of Normal and Abnormal Segments in PPG Signals
Sunil Kumar Prabhakar, Harikumar Rajaguru. World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, 2017. Cites: paper -
Phenotyping hypotensive patients in critical care using hospital discharge summaries
Yang Dai, Sharukh Lokhandwala, William Long et al. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2017. Cites: paper -
Relational Databases and Biomedical Big Data
Nisansa de Silva. Methods in molecular biology, 2017. Cites: paper -
SURF: Subject-Adaptive Unsupervised ECG Signal Compression for Wearable Fitness Monitors
Mohsen Hooshmand, Davide Zordan, Tommaso Melodia et al. IEEE Access, 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 -
Bidirectional LSTM-CRF for Clinical Concept Extraction
Raghavendra Chalapathy, Ehsan Zare Borzeshi, Massimo Piccardi. arXiv (Cornell University), 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
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.