Publications citing MIMIC-II Clinical Database v2.6.0

Understanding lactate in an intensive care setting
Hilary G. Mulholland. DSpace@MIT (Massachusetts Institute of Technology), 2015. Cites: paper

Using Neural Embeddings for Diagnostic Inferencing in Clinical Question Answering.
Sadid A. Hasan, Ling Yuan, Joey Liu et al. Text REtrieval Conference, 2015. Cites: paper

Proton pump inhibitors increase the risk for hospital-acquired Clostridium difficile infection in critically ill patients
Jeffrey F. Barletta, David Alexander Sclar. Critical Care, 2014. Cites: paper

Imputation-Enhanced Prediction of Septic Shock in ICU Patients
Joyce C. Ho, Cheng H. Lee, Joydeeph Ghosh. 2014. Cites: paper

Big data and clinical research: perspective from a clinician.
Zhongheng Zhang. Europe PMC (PubMed Central), 2014. Cites: paper

Exploring missing data prediction in medical monitoring: A performance analysis approach
Qiong Gui, Zhanpeng Jin, Wenyao Xu. IEEE Signal Processing in Medicine and Biology Symposium, 2014. Cites: paper

Learning Score Systems for Patient Mortality Prediction in Intensive Care Units via Orthogonal Matching Pursuit
Aadirupa Saha, Chandrahas Dewangan, Harikrishna Narasimhan et al. International Conference on Machine Learning and Applications, 2014. Cites: paper

The learning intelligent distribution agent (LIDA) and medical agent X (MAX): Computational intelligence for medical diagnosis
Steve Strain, Sean Kugele, Stan Franklin. IEEE Symposium on Computational Intelligence for Human-like Intelligence (CIHLI), 2014. Cites: paper

Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study
Romain Pirracchio, Maya L Petersen, Marco Carone et al. The Lancet Respiratory Medicine, 2014. Cites: paper

AKI Complications in Critically Ill Patients
Alexandre Braga Libório, Tacyano Tavares Leite, Fernanda Macedo de Oliveira Neves et al. Clinical Journal of the American Society of Nephrology, 2014. Cites: paper

Seeing the forest through the trees: uncovering phenomic complexity through interactive network visualization
Jeremy Lyle Warner, Joshua C. Denny, David Kreda et al. Journal of the American Medical Informatics Association, 2014. Cites: paper

A fast and memory-efficient algorithm for learning and retrieval of phenotypic dynamics in multivariate cohort time series
Shamim Nemati, Mohammad M. Ghassemi. IEEE International Conference on Big Data (BigData), 2014. Cites: paper

Big data and clinical research: focusing on the area of critical care medicine in mainland China.
Zhongheng Zhang. Europe PMC (PubMed Central), 2014. Cites: paper

Protective effects of rheumatoid arthritis in septic ICU patients
Mallory Sheth, Abdullah B. Chahin, Roger G. Mark et al. IEEE International Conference on Big Data (BigData), 2014. Cites: paper

icuARM-II
Chih‐Wen Cheng, Nikhil K. Chanani, Kevin Maher et al. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), 2014. Cites: paper

Disease and Disorder Template Filling Using Rule-Based and Statistical Approaches
Thierry Hamon C, Cyril Grouin, Pierre Zweigenbaum. 2014. Cites: paper

Hidden semi-Markov model-based heartbeat detection using multimodal data and signal quality indices
Marco A. F. Pimentel, Mauro Santos, David Springer et al. Computing in cardiology, 2014. Cites: paper

Increasing the dynamic range of a pulse oximeter using heart rate characteristics
Chris J. Brouse, Ronald Gatzke, Dan Freeman et al. Computing in cardiology, 2014. Cites: paper

Uncovering clinical significance of vital sign dynamics in critical care
Li-wei H. Lehman, Shamim Nemati, George B Moody et al. Computing in cardiology, 2014. Cites: paper

gLOP: A Cleaner Dirty Model for Multitask Learning
Rhiannon V. Rose. UWSpace (University of Waterloo), 2014. Cites: paper

Unfolding physiological state
Marzyeh Ghassemi, Tristan Naumann, Finale Doshi‐Velez et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2014. Cites: paper

Biological and clinical data integration and its applications in healthcare
Matthew S Hagen. SMARTech Repository (Georgia Institute of Technology), 2014. Cites: paper

Advancing Regulatory Science to Bring Novel Medical Devices for Use in Emergency Care to Market: The Role of the Food and Drug Administration
Christopher G. Scully, Shawn Forrest, Loriano Galeotti et al. Annals of Emergency Medicine, 2014. Cites: paper

From Pharmacovigilance to Clinical Care Optimization
Leo Anthony Celi, Edward T. Moseley, Christopher Moses et al. Big Data, 2014. Cites: paper

What’s So Different about Big Data?. A Primer for Clinicians Trained to Think Epidemiologically
Theodore John Iwashyna, Vincent X. Liu. Annals of the American Thoracic Society, 2014. Cites: paper

A data-driven approach to optimized medication dosing: a focus on heparin
Mohammad M. Ghassemi, Stefan E. Richter, Ifeoma Mary Eche et al. Intensive Care Medicine, 2014. Cites: paper

False ventricular tachycardia alarm suppression in the ICU based on the discrete wavelet transform in the ECG signal
Rebeca Salas-Boni, Yong Bai, Patricia Rae Eileen Harris et al. Journal of Electrocardiology, 2014. Cites: paper

An early respiratory distress detection method with Markov models
Hariharan Ravishankar, Aditya Saha, Gokul Swamy et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2014. Cites: paper

Computing network-based features from physiological time series: Application to sepsis detection
Sabato Santaniello, Stephen J. Granite, Sridevi V. Sarma et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2014. Cites: paper

Estimation of the patient monitor alarm rate for a quantitative analysis of new alarm settings
S. de Waele, Larry Nielsen, Joseph J. Frassica. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2014. Cites: paper

Hemodynamic-impact-based prioritization of ventricular tachycardia alarms
Kalpit Desai, Michael Lexa, Brett Matthews et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2014. Cites: paper

Heterogeneous postsurgical data analytics for predictive modeling of mortality risks in intensive care units
Yun Chen, Hui Yong Yang. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2014. Cites: paper

Is there opportunity for automated decision-support and closed-loop control in ICU patients receiving vasopressor infusion?
Ramin Bighamian, Cal Rubbo, Jill E. Thorsen et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2014. Cites: paper

Latent topic discovery of clinical concepts from hospital discharge summaries of a heterogeneous patient cohort
Li-wei H. Lehman, William Long, Mohammed Saeed et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2014. Cites: paper

Privacy-aware publication and utilization of healthcare data
Yubin Park. Texas ScholarWorks (Texas Digital Library), 2014. Cites: paper

Risk prediction for heart failure incidence within 1-year using clinical and laboratory factors
Fen Miao, Yunpeng Cai, Yuan‐Ting Zhang. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2014. Cites: paper

Predictive value of lactate in unselected critically ill patients: an analysis using fractional polynomials.
Zhongheng Zhang, Kun Chen, Hongying Ni et al. PubMed, 2014. Cites: paper

Toward Unreasonable Effectiveness of Cardiac ICU Data
Anthony C. Chang, Juliette Hunt. Pediatric Critical Care Medicine, 2014. Cites: paper

A Physiological Time Series Dynamics-Based Approach to Patient Monitoring and Outcome Prediction
Li-wei H. Lehman, Ryan Prescott Adams, Louis Mayaud et al. IEEE Journal of Biomedical and Health Informatics, 2014. Cites: paper

Histamine-2-Receptor Antagonist Administration and Gastrointestinal Bleeding When Used for Stress Ulcer Prophylaxis in Patients With Severe Sepsis or Septic Shock
Jeffrey F. Barletta. Annals of Pharmacotherapy, 2014. Cites: paper

Association between fluid balance and survival in critically ill patients
Joon Lee, E. de Louw, Matthew A. Niemi et al. Journal of Internal Medicine, 2014. Cites: paper

Multi-label classification of chronically ill patients with bag of words and supervised dimensionality reduction algorithms
Stefano Bromuri, Damien Zufferey A, Jean Hennebert et al. Journal of Biomedical Informatics, 2014. Cites: paper

Adaptive compressive sensing for low power wireless sensors
Adam Watkins, Venkata Naresh Mudhireddy, Haibo Wang et al. ACM Great Lakes Symposium on VLSI (GLSVLSI), 2014. Cites: paper

Large-Scale Methodological Comparison of Acute Hypotensive Episode Forecasting Using MIMIC2 Physiological Waveforms
Yongwook Bryce Kim, Joohyun Seo, Una-May O’Reilly. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2014. Cites: paper

Long-Term Outcomes of Minor Troponin Elevations in the Intensive Care Unit
Adrian Velasquez, Marzyeh Ghassemi, Peter Szolovits et al. Anaesthesia and Intensive Care, 2014. Cites: paper

N-gram support vector machines for scalable procedure and diagnosis classification, with applications to clinical free text data from the intensive care unit
Ben J. Marafino, Jason M. Davies, Naomi S. Bardach et al. Journal of the American Medical Informatics Association, 2014. Cites: paper

Predictive Value of Ionized Calcium in Critically Ill Patients: An Analysis of a Large Clinical Database MIMIC II
Zhongheng Zhang, Xiao Xu, Hongying Ni et al. PLoS ONE, 2014. Cites: paper

The Association Between Admission Magnesium Concentrations and Lactic Acidosis in Critical Illness
Ari L. Moskowitz, Joon Lee, Michael William Donnino et al. Journal of Intensive Care Medicine, 2014. Cites: paper

Trends in Severity of Illness on ICU Admission and Mortality among the Elderly
Lior Fuchs, Victor Novack, Stuart McLennan et al. PLoS ONE, 2014. Cites: paper

Innovative Designs for the Smart ICU
Neil A. Halpern. CHEST Journal, 2014. Cites: paper

Cited by