Publications citing MIMIC-II Clinical Database v2.6.0

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

Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization
Shalmali D. Joshi, Suriya Gunasekar, David Alexander Sontag et al. arXiv (Cornell University), 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. 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

ACDC: $α$-Carving Decision Chain for Risk Stratification
Park, Yubin, Joyce C. Ho, Joydeep Ghosh. arXiv (Cornell University), 2016. Cites: paper

Retrospective analysis of pulse oximeter alarm settings in an intensive care unit patient population
Krystal Lansdowne, David G. Strauss, Christopher G. Scully. BMC Nursing, 2016. Cites: paper

Mortality prediction for ICU patients using just-in-time learning and extreme learning machine
Yangyang Ding, Xuejian Li, Youqing Wang. World Congress on Intelligent Control and Automation, 2016. Cites: paper

SignalPlant: an open signal processing software platform
Filip Plešinger, Juraj Jurco, Josef Halámek et al. Physiological Measurement, 2016. Cites: paper

A computational approach to mortality prediction of alcohol use disorder inpatients
Jacob S. Calvert, Qingqing Mao, Angela J. Rogers et al. Computers in Biology and Medicine, 2016. Cites: paper

MIMIC-III, a freely accessible critical care database
Alistair E. W. Johnson, Tom Pollard, Lu Shen et al. Scientific Data, 2016. Cites: paper

A sensor network query processing system for healthcare data acquisition in Dr. M
Chanhee Lee, Taehun Kim, Soon Joo Hyun. IEEE International Conference on Data Engineering Workshops (ICDEW), 2016. Cites: paper

Building Evaluation Datasets for Consumer-Oriented Information Retrieval
Lorraine Goeuriot, Liadh Kelly, Guido Zuccon et al. Language Resources and Evaluation Conference (LREC), 2016. Cites: paper

Embedding Open-domain Common-sense Knowledge from Text
Travis R. Goodwin, Sanda M. Harabagiu. Language Resources and Evaluation Conference (LREC), 2016. Cites: paper

Lower mean corpuscular hemoglobin concentration is associated with poorer outcomes in intensive care unit admitted patients with acute myocardial infarction
Yuan‐Lan Huang, Zhi-De Hu. Annals of Translational Medicine, 2016. Cites: paper

Natural Language Processing in Oncology
Wen-wai Yim, Meliha Yetişgen, William Proctor Harris et al. JAMA Oncology, 2016. Cites: paper

Storage and Database Management for Big Data
Vijay N. Gadepally, Jeremy Kepner, Albert Reuther. Auerbach Publications eBooks, 2016. Cites: paper

A robust approach for ECG-based analysis of cardiopulmonary coupling
Jiewen Zheng, Weidong Wang, Zhengbo Zhang et al. Medical Engineering & Physics, 2016. Cites: paper

Trading-Off Cost of Deployment Versus Accuracy in Learning Predictive Models
Daniel P. Robinson, Suchi Saria. arXiv (Cornell University), 2016. Cites: paper

The Univariate Flagging Algorithm (UFA): a Fully-Automated Approach for Identifying Optimal Thresholds in Data
Mallory Sheth, Roy E. Welsch, Natasha Markuzon. arXiv (Cornell University), 2016. Cites: paper

Optimization of sepsis risk assessment for ward patients
Shannon Mitchell, Katherine Schinkel, Yifeng Song et al. Systems and Information Engineering Design Symposium, 2016. Cites: paper

Non-linear feature extraction from HRV signal for mortality prediction of ICU cardiovascular patient
Mohammad Karimi Moridani, Seyed Kamaledin Setarehdan, Ali Motie Nasrabadi et al. Journal of Medical Engineering & Technology, 2016. Cites: paper

Hybrid time Bayesian networks
Manxia Liu, Arjen Hommersom, Maarten van der Heijden et al. International Journal of Approximate Reasoning, 2016. Cites: paper

A probabilistic model for early prediction of abnormal clinical events using vital sign correlations in home-based monitoring
Abdur Rahim Mohammad Forkan, Ibrahim Khalil. IEEE International Conference on Pervasive Computing and Communications, 2016. Cites: paper

The organizational structure of an intensive care unit influences treatment of hypotension among critically ill patients: A retrospective cohort study
Myles Dustin Boone, JENNIFER S. MASSA, Ariel Mueller et al. Journal of Critical Care, 2016. Cites: paper

Predicting ICU Mortality Risk by Grouping Temporal Trends from a Multivariate Panel of Physiologic Measurements
Yuan Luo, Yu Xin, Rohit Joshi et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2016. Cites: paper

Assessing the comorbidity gap between clinical studies and prevalence in elderly patient populations
Zhe He, Neil H. Charness, Jiang Bian et al. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2016. Cites: paper

Personalized mortality prediction for the critically ill using a patient similarity metric and bagging
Joon Lee. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2016. Cites: paper

Machine Learning and Decision Support in Critical Care
Alistair E. W. Johnson, Mohammad M. Ghassemi, Shamim Nemati et al. Proceedings of the IEEE, 2016. Cites: paper

An Algorithm for Real-Time Pulse Waveform Segmentation and Artifact Detection in Photoplethysmograms
Christoph Fischer, Benno Dömer, Thomas Wibmer et al. IEEE Journal of Biomedical and Health Informatics, 2016. Cites: paper

Scalable Predictive Analysis in Critically Ill Patients Using a Visual Open Data Analysis Platform
Sven Van Poucke, Zhongheng Zhang, Martin Schmitz et al. PLoS ONE, 2016. Cites: paper

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