Publications citing MIMIC-II Clinical Database v2.6.0

Clinical Practice, Research and Sepsis poster Presentations
Journal of the Intensive Care Society, 2015. Cites: paper

Increased serum bicarbonate in critically ill patients: a retrospective analysis
Alexandre Braga Libório, Danilo Teixeira Noritomi, Tacyano Tavares Leite et al. Intensive Care Medicine, 2015. Cites: paper

Efficient Execution Methods of Pivoting for Bulk Extraction of Entity-Attribute-Value-Modeled Data
Gang Luo, Lewis J. Frey. IEEE Journal of Biomedical and Health Informatics, 2015. Cites: paper

Expanding the Role of Mobile Devices in the Operating Room: Direct Wireless Connection to the Anesthesia Monitor
David Andrew Pybus. Journal of Cardiothoracic and Vascular Anesthesia, 2015. Cites: paper

The association between the neutrophil-to-lymphocyte ratio and mortality in critical illness: an observational cohort study
Justin D. Salciccioli, Dominic Charles Marshall, Marco A. F. Pimentel et al. Critical Care, 2015. Cites: paper

Analysing Nursing Workload in Intensive Care Unit by Using a Novel Objective Tracking System
Peng Guo. UC Research Repository (University of Canterbury), 2015. Cites: paper

A Study of Neural Word Embeddings for Named Entity Recognition in Clinical Text.
Yonghui Wu, Jun Xu, Min Jiang et al. PubMed Central, 2015. Cites: paper

Automated Detection of Benzodiazepine Dosage in ICU Patients through a Computational Analysis of Electrocardiographic Data.
Maxwell Spadafore, Zeeshan Hassan Syed, Ilan S. Rubinfeld. PubMed Central, 2015. Cites: paper

Big Data Analytics in Healthcare
Ashwin Belle, Raghuram Thiagarajan, S. M. Reza Soroushmehr et al. BioMed Research International, 2015. Cites: paper

BioinformaticsUA: Machine Learning and Rule-Based Recognition of Disorders and Clinical Attributes from Patient Notes
Sérgio Matos, José Francisco Rodrigues Sequeira, José Luís Oliveira. International Workshop on Semantic Evaluation (SemEval), 2015. Cites: paper

Clinical Abbreviation Disambiguation Using Neural Word Embeddings
Yonghui Wu, Jun Xu, Yaoyun Zhang et al. Workshop on Biomedical Language Processing (BioNLP), 2015. Cites: paper

ClinicalTime: Identification of Patients with Acute Kidney Injury using Temporal Abstractions and Temporal Pattern Matching.
Daniel Capurro N, Mario Barbé, Claudio Daza et al. Europe PMC (PubMed Central), 2015. Cites: paper

Experiences implementing a system for widespread recording of patient physiology
Timothy Bonnici, Peter H Charlton, David Pierre et al. Research Portal (King's College London), 2015. Cites: paper

Forecasting intracranial hypertension using time series and waveform features
Matthias Hüser. Repository for Publications and Research Data (ETH Zurich), 2015. Cites: paper

HEALTH BANK - A Workbench for Data Science Applications in Healthcare
Hercules Dalianis, Aron Henriksson, Maria Kvist et al. Research Portal (King's College London), 2015. Cites: paper

Information Technology in Critical Care: Review of Monitoring and Data Acquisition Systems for Patient Care and Research
Michael A. De Georgia, Farhad Kaffashi, Frank J. Jacono et al. The Scientific World JOURNAL, 2015. Cites: paper

Knowledge extraction and retrieval for domain-specific documents
Chunye Wang. eScholarship (California Digital Library), 2015. Cites: paper

Learning a Severity Score for Sepsis: A Novel Approach based on Clinical Comparisons.
Kirill Dyagilev, Suchi Saria. PubMed Central, 2015. Cites: paper

Learning Useful Abstractions from the Web.
Abhishek Bafna, Jenna Wiens. AMIA, 2015. Cites: paper

Mortality Prediction in ICUs Using A Novel Time-Slicing Cox Regression Method.
Yuan Wang, Wenlin Chen, Kevin M. Heard et al. PubMed Central, 2015. Cites: paper

Mortality Prediction Model of Septic Shock Patients Based on Routinely Recorded Data
Marta Carrara, Giuseppe Baselli, Manuela Ferrario. Computational and Mathematical Methods in Medicine, 2015. Cites: paper

Preparing a New Generation of Clinicians for the Era of Big Data.
Ari L. Moskowitz, Jakob Israel McSparron, David J. Stone et al. PubMed, 2015. Cites: paper

Probabilistic Estimation of Respiratory Rate from Wearable Sensors
Marco A. F. Pimentel, Peter H Charlton, David Andrew Clifton. Smart sensors, measurement and instrumentation, 2015. Cites: paper

Proceedings of BioNLP 15
2015. Cites: paper

Reproducing a Prospective Clinical Study as a Computational Retrospective Study in MIMIC-II.
Fabrício S. P. Kury, Vojtech Huser, James J. Cimino. PubMed Central, 2015. Cites: paper

Risk Prediction of One-Year Mortality in Patients with Cardiac Arrhythmias Using Random Survival Forest
Fen Miao, Yunpeng Cai, Yu-Xiao Zhang et al. Computational and Mathematical Methods in Medicine, 2015. Cites: paper

State of the Art Review: The Data Revolution in Critical Care
Marzyeh Ghassemi, Leo Anthony Celi, David J. Stone. Annual update in intensive care and emergency medicine, 2015. Cites: paper

Towards Non-Invasive Monitoring of Hypovolemia in Intensive Care Patients
Alexander Roederer, James E. Weimer, Joseph Dimartino et al. ScholarlyCommons (University of Pennsylvania), 2015. Cites: paper

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 O'D. 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. 2014. Cites: paper

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

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

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