Publications citing MIMIC-II Clinical Database v2.6.0

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

Designing reliable cohorts of cardiac patients across MIMIC and eICU
Catherine E. Chronaki, Abdullah Shahin, Roger G. Mark. Computing in cardiology, 2015. Cites: paper

Hemodynamic monitoring using switching autoregressive dynamics of multivariate vital sign time series
Li-wei H. Lehman, Shamim Nemati, Roger G. Mark. Computing in cardiology, 2015. Cites: paper

Patient prognosis from vital sign time series: Combining convolutional neural networks with a dynamical systems approach
Li-wei H. Lehman, Mohammad M. Ghassemi, Jasper Snoek et al. Computing in cardiology, 2015. Cites: paper

Suppression of false arrhythmia alarms using ECG and pulsatile waveforms
Paula Couto, Rúben Ramalho, Rui Rodrigues. Computing in cardiology, 2015. Cites: paper

Data integration of structured and unstructured sources for assigning clinical codes to patient stays
Elyne Scheurwegs, Kim Luyckx, Léon Luyten et al. Journal of the American Medical Informatics Association, 2015. Cites: paper

Importance of re-calibration time on pulse contour analysis agreement with thermodilution measurements of cardiac output: a retrospective analysis of intensive care unit patients
Christopher G. Scully, Shanti V. Gomatam, Shawn Forrest et al. Journal of Clinical Monitoring and Computing, 2015. Cites: paper

The BigDAWG Polystore System
Jennie Duggan, Aaron J. Elmore, Michael R Stonebraker et al. ACM SIGMOD Record, 2015. Cites: paper

Accelerating Dynamic Time Warping Clustering with a Novel Admissible Pruning Strategy
Nurjahan Begum, Liudmila Ulanova, Jun Wang et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2015. Cites: paper

A demonstration of the BigDAWG polystore system
Aaron J. Elmore, Jennie Duggan, Michael R Stonebraker et al. Proceedings of the VLDB Endowment, 2015. Cites: paper

A supervised learning approach for the robust detection of heart beat in plethysmographic data
Enrico Grisan, Giorgia Cantisani, Giacomo Tarroni et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015. Cites: paper

Ensemble fuzzy classifiers design using weighted aggregation criteria
Cátia M. Salgado, Carlos S. Azevedo, Jonathan M. Garibaldi et al. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2015. Cites: paper

Fuzzy modeling based on Mixed Fuzzy Clustering for health care applications
Marta C. Ferreira, Cátia M. Salgado, Joaquim L. Viegas et al. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2015. Cites: paper

Large-scale physiological waveform retrieval via locality-sensitive hashing
Yongwook Bryce Kim, Una-May O’Reilly. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015. Cites: paper

Mortality prediction in septic shock patients: Towards new personalized models in critical care
Marta Carrara, Giuseppe Baselli, Manuela Ferrario. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015. Cites: paper

Predicting hyperlactatemia in the MIMIC II database
Max Dunitz, George C. Verghese, Thomas Heldt. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015. Cites: paper

Primary study for detection of arterial blood pressure waveform components
Neeraj Paradkar, Shubhajit Roy Chowdhury. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015. Cites: paper

Robust monitoring of hypovolemia in intensive care patients using photoplethysmogram signals
Alexander Roederer, James E. Weimer, Joseph Dimartino et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015. Cites: paper

Toward lightweight biometric signal processing for wearable devices
Roberto Francescon, Mohsen Hooshmand, Matteo Gadaleta et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015. Cites: paper

Using information theory to identify redundancy in common laboratory tests in the intensive care unit
Joon Lee, David M. Maslove. BMC Medical Informatics and Decision Making, 2015. Cites: paper

Heart beat detection in multimodal physiological data using a hidden semi-Markov model and signal quality indices
Marco A. F. Pimentel, Mauro Santos, David Springer et al. Physiological Measurement, 2015. Cites: paper

Robust algorithm to locate heart beats from multiple physiological waveforms by individual signal detector voting
Loriano Galeotti, Christopher G. Scully, José Vicente et al. Physiological Measurement, 2015. Cites: paper

Robust detection of heart beats in multimodal data
Ikaro Silva, Benjamin Moody, Joachim A. Behar et al. Physiological Measurement, 2015. Cites: paper

Performance comparison of multi-label learning algorithms on clinical data for chronic diseases
Damien Zufferey, Thomas Höfer, Jean Hennebert et al. Computers in Biology and Medicine, 2015. Cites: paper

Clinic + - A Clinical Decision Support SystemUsing Association Rule Mining
Sangeetha Santhosh, Mercelin Francis. International Journal of Innovative Research in Computer and Communication Engineering, 2015. Cites: paper

Combining expert knowledge and knowledge automatically acquired from electronic data sources for continued ontology evaluation and improvement
Claire L. Gordon, Chunhua Weng. Journal of Biomedical Informatics, 2015. Cites: paper

Hypotension Risk Prediction via Sequential Contrast Patterns of ICU Blood Pressure
Shameek Ghosh, Mengling Feng, Hung Tan Nguyen et al. IEEE Journal of Biomedical and Health Informatics, 2015. Cites: paper

A mathematical model for predicting glucose levels in critically-ill patients: the PIGnOLI model
Zhongheng Zhang. PeerJ, 2015. Cites: paper

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