Publications citing MIMIC-II Clinical Database v2.6.0

Potential Adverse Effects of Broad-Spectrum Antimicrobial Exposure in the Intensive Care Unit
Jenna Wiens, Graham M. Snyder, Samuel G. Finlayson et al. Open Forum Infectious Diseases, 2017. Cites: paper

Error Grid Analysis for Arterial Pressure Method Comparison Studies
Bernd Saugel, Oliver Grothe, Julia Y. Nicklas. Anesthesia & Analgesia, 2017. Cites: paper

Mixed Fuzzy Clustering for Deriving Predictive Models in Intensive Care Units
Cátia M. Salgado, Susana Margarida Vieira, João M. C. Sousa. International series in management science/operations research/International series in operations research & management science, 2017. Cites: paper

Association between postoperative fluid balance and acute kidney injury in patients after cardiac surgery: A retrospective cohort study
Yanfei Shen, Weimin Zhang, Xuping Cheng et al. Journal of Critical Care, 2017. Cites: paper

Automatic Rate-Distortion Classification for the IoT: Towards Signal-Adaptive Network Protocols
Davide Zordan, Raúl Parada, Michele Rossi et al. Globecom, 2017. Cites: paper

Adaptive Contextualization Methods for Combating Selection Bias during High-Dimensional Visualization
David Gotz, Shun Sun, Nan Cao et al. ACM Transactions on Interactive Intelligent Systems, 2017. Cites: paper

Clinical information extraction applications: A literature review
Yanshan Wang, Liwei Wang, Majid Rastegar-Mojarad et al. Journal of Biomedical Informatics, 2017. Cites: paper

Kinetic estimated glomerular filtration rate in critically ill patients: beyond the acute kidney injury severity classification system
Flávio de Oliveira Marques, Saulo Aires Oliveira, Priscila Ferreira de Lima e Souza et al. Critical Care, 2017. Cites: paper

Prediction of Cardiac Arrest in Intensive Care Patients Through Machine Learning
Evangelos Akrivos, Vasilios E. Papaioannou, Nicos Maglaveras et al. World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, 2017. Cites: paper

CEP4HFP: Complex Event Processing for Heart Failure Prediction
Afef Mdhaffar, Ismael Bouassida Rodriguez, Khalil Charfi et al. IEEE Transactions on NanoBioscience, 2017. Cites: paper

Mortality prediction for ICU patients combining just-in-time learning and extreme learning machine
Yangyang Ding, Youqing Wang, Donghua Zhou. Neurocomputing, 2017. Cites: paper

Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review
Peter H Charlton, Drew A. Birrenkott, Timothy Bonnici et al. IEEE Reviews in Biomedical Engineering, 2017. Cites: paper

Driving Pressure and Hospital Mortality in Patients Without ARDS
Marcello F.S. Schmidt, André Carlos Kajdacsy-Balla Amaral, Eddy Fan et al. CHEST Journal, 2017. Cites: paper

Assessment of photoplethysmogram signal quality based on frequency domain and time series parameters
Yue Zhang, Junjun Pan. International Congress on Image and Signal Processing (CISP), 2017. Cites: paper

ICU mortality prediction using modified cost-sensitive PCA and chaos PSO
Jiankang Liu, XianXiang Chen, Zhen Fang et al. IEEE International Conference on e-Health Networking, Applications and Services (Healthcom), 2017. Cites: paper

Multi-Label Classification of Patient Notes a Case Study on ICD Code Assignment
Tal Baumel, Jumana Nassour-Kassis, Cohen, Raphael et al. arXiv (Cornell University), 2017. Cites: paper

Intrainstitutional EHR collections for patient‐level information retrieval
Stephen Wu, Sijia Liu, Yanshan Wang et al. Journal of the Association for Information Science and Technology, 2017. Cites: paper

BigDAWG version 0.1
Vijay N. Gadepally, Kyle H. O’Brien, Adam Dziedzic et al. IEEE High Performance Extreme Computing Conference, 2017. Cites: paper

Database engine integration and performance analysis of the BigDAWG polystore system
Yu Katherine, Vijay N. Gadepally, Michael R Stonebraker. IEEE High Performance Extreme Computing Conference, 2017. Cites: paper

Efficacy of standard dose unfractionated heparin for venous thromboembolism prophylaxis in morbidly obese and non-morbidly obese critically Ill patients
Young Ran Lee, Delilah D. Blanco. Journal of Thrombosis and Thrombolysis, 2017. Cites: paper

Efficient noise-tolerant estimation of heart rate variability using single-channel photoplethysmography
Reza Firoozabadi, Eric David Helfenbein, Saeed Babaeizadeh. Journal of Electrocardiology, 2017. Cites: paper

Prognostic value of admission red blood cell distribution width in acute pancreatitis: a systematic review
Hemant Goyal, Hamza H. Awad, Zhi-De Hu. Annals of Translational Medicine, 2017. Cites: paper

Federated Tensor Factorization for Computational Phenotyping
Yejin Kim, Jimeng Sun, Hwanjo Yu et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2017. Cites: paper

Modelling intracranial pressure with noninvasive physiological measures
James Alexander Hughes, Ethan Jackson, Mark Daley. IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2017. Cites: paper

Technical challenges related to implementation of a formula one real time data acquisition and analysis system in a paediatric intensive care unit
B. R. Matam, Heather P. Duncan. Journal of Clinical Monitoring and Computing, 2017. Cites: paper

The Effect of ARDS on Survival: Do Patients Die From ARDS or With ARDS?
Lior Fuchs, Mengling Feng, Victor Novack et al. Journal of Intensive Care Medicine, 2017. Cites: paper

Online Scheduling and Interference Alleviation for Low-Latency, High-Throughput Processing of Data Streams
Thilina Buddhika, Ryan Stern, Kira Lindburg et al. IEEE Transactions on Parallel and Distributed Systems, 2017. Cites: paper

A novel smartphone camera-LED Communication for clinical signal transmission in mHealth-rehabilitation system
Vega Pradana Rachim, Jinyoung An, Pham Ngoc Quan et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017. Cites: paper

Collision frequency locality-sensitive hashing for prediction of critical events
Yongwook Bryce Kim, Erik Hemberg, Una-May O’Reilly. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017. Cites: paper

Combination of static and temporal data analysis to predict mortality and readmission in the intensive care
Janani Venugopalan, Nikhil K. Chanani, Kevin O'D. Maher et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017. Cites: paper

Consensus motifs as adaptive and efficient predictors for acute hypotensive episodes
Rahul Krishnan Pathinarupothi, Ekanath Srihari Rangan. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017. Cites: paper

Coronary artery disease detection using photoplethysmography
Neeraj Paradkar, Shubhajit Roy Chowdhury. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017. Cites: paper

Health Status Monitoring for ICU Patients Based on LWPR-PCA
Yangyang Ding, Youqing Wang. IFAC-PapersOnLine, 2017. Cites: paper

Learning from different perspectives: Robust cardiac arrest prediction via temporal transfer learning
Joyce C. Ho, Yubin Park. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017. Cites: paper

Machine learning landscapes and predictions for patient outcomes
Ritankar Das, David J. Wales. Royal Society Open Science, 2017. Cites: paper

Model selection for the Pulse Decomposition Analysis of fingertip photoplethysmograms
Timo Tigges, Alexandru Pielmuş, Michael Klum et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017. Cites: paper

Reducing false asystole alarms in intensive care
Rémi Dekimpe, Thomas Heldt. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017. Cites: paper

The obesity paradox in ICU patients
Janice Pan, Robert Shaffer, Zeina Sinno et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017. Cites: paper

Psychiatric symptom recognition without labeled data using distributional representations of phrases and on-line knowledge
Yaoyun Zhang, Olivia Zhang, Yonghui Wu et al. Journal of Biomedical Informatics, 2017. Cites: paper

A hybrid approach to automatic de-identification of psychiatric notes
Hee-Jin Lee, Yonghui Wu, Yaoyun Zhang et al. Journal of Biomedical Informatics, 2017. Cites: paper

Fuzzy risk stratification and risk assessment model for clinical monitoring in the ICU
Albion Dervishi. Computers in Biology and Medicine, 2017. Cites: paper

Automatic recognition of symptom severity from psychiatric evaluation records
Travis R. Goodwin, Ramón Maldonado, Sanda M. Harabagiu. Journal of Biomedical Informatics, 2017. Cites: paper

Grounded Recurrent Neural Networks
Ankit Vani, Yacine Jernite, David Alexander Sontag. arXiv (Cornell University), 2017. Cites: paper

Extended algorithm for real-time pulse waveform segmentation and artifact detection in photoplethysmograms
Christoph Fischer, Martin Glos, Thomas Penzel et al. Somnologie - Schlafforschung und Schlafmedizin, 2017. Cites: paper

Cuff-Less and Continuous Blood Pressure Monitoring: A Methodological Review
Manuja Sharma, Karinne Barbosa, Victor Ho et al. Technologies, 2017. Cites: paper

Association between serum osmolarity and mortality in patients who are critically ill: a retrospective cohort study
Yanfei Shen, Xuping Cheng, Manzhen Ying et al. BMJ Open, 2017. Cites: paper

Rate-distortion classification for self-tuning IoT networks
Davide Zordan, Michele Rossi, Michele Zorzi. IEEE International Conference on Communications workshops, 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

Assigning clinical codes with data-driven concept representation on Dutch clinical free text
Elyne Scheurwegs, Kim Luyckx, Léon Luyten et al. Journal of Biomedical Informatics, 2017. Cites: paper

Boosting the Battery Life of Wearables for Health Monitoring Through the Compression of Biosignals
Mohsen Hooshmand, Davide Zordan, Davide Del Testa et al. IEEE Internet of Things Journal, 2017. Cites: paper

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