Publications citing MIMIC-II Clinical Database v2.6.0

Peer Review #1 of "A mathematical model for predicting glucose levels in critically-ill patients: the PIGnOLI model (v0.1)"
PeerJ, 2015. Cites: paper

Peer Review #2 of "A mathematical model for predicting glucose levels in critically-ill patients: the PIGnOLI model (v0.1)"
PeerJ, 2015. Cites: paper

Peer Review #2 of "A mathematical model for predicting glucose levels in critically-ill patients: the PIGnOLI model (v0.2)"
PeerJ, 2015. Cites: paper

Designing optimal mortality risk prediction scores that preserve clinical knowledge
Natalia M. Arzeno, Karla A. Lawson, Sarah V. Duzinski et al. Journal of Biomedical Informatics, 2015. Cites: paper

BDCaM: Big Data for Context-Aware Monitoring—A Personalized Knowledge Discovery Framework for Assisted Healthcare
Abdur Rahim Mohammad Forkan, Ibrahim Khalil, Ayman Ibaida et al. IEEE Transactions on Cloud Computing, 2015. Cites: paper

The BigDAWG Polystore System
Jennie Duggan, Stan Zdonik, Aaron J. Elmore et al. DSpace@MIT (Massachusetts Institute of Technology), 2015. Cites: paper

Personalized Mortality Prediction Driven by Electronic Medical Data and a Patient Similarity Metric
Joon Lee, David M. Maslove, Joel A. Dubin. PLoS ONE, 2015. Cites: paper

Customization of a Severity of Illness Score Using Local Electronic Medical Record Data
Joon Lee, David M. Maslove. Journal of Intensive Care Medicine, 2015. Cites: paper

Acceleration plethysmogram based biometric identification
Nur Azua Liyana Jaafar, Khairul Azami Sidek, Siti Nurfarah Ain Mohd Azam. International Conference on BioSignal Analysis, Processing and Systems (ICBAPS), 2015. Cites: paper

Predictive models for severe sepsis in adult ICU patients
Joseph Guillén, Jiankun Liu, Margaret Furr et al. Systems and Information Engineering Design Symposium, 2015. Cites: paper

When do confounding by indication and inadequate risk adjustment bias critical care studies? A simulation study
Michael W. Sjoding, Kaiyi Luo, Melissa A. Miller et al. Critical Care, 2015. Cites: paper

Knowledge Abstraction from MIMIC II Using Apriori Algorithm for Clinical Decision Support System
E. Nagarajan, V. Satya Sravani. Indian Journal of Science and Technology, 2015. Cites: paper

Antipyretic Therapy in Critically Ill Patients with Sepsis: An Interaction with Body Temperature
Zhongheng Zhang, Lin Chen, Hongying Ni. PLoS ONE, 2015. Cites: paper

Supporting the annotation of chronic obstructive pulmonary disease (COPD) phenotypes with text mining workflows
Xiao Fu, Riza Batista-Navarro, Rafal Rak et al. Journal of Biomedical Semantics, 2015. Cites: paper

State of the art review: the data revolution in critical care
Marzyeh Ghassemi, Leo Anthony Celi, David J. Stone. Critical Care, 2015. Cites: paper

Eventos Adversos relacionados à Gravidade e Carga de Trabalho de Enfermagem em Unidade de Terapia Intensiva
Clarita Terra Rodrigues Serafim. Americanae (AECID Library), 2015. Cites: paper

The use of the pulse oximetric saturation to fraction of inspired oxygen ratio in an automated acute respiratory distress syndrome screening tool
Marcello F.S. Schmidt, Jill Gernand, Radhika Kakarala. Journal of Critical Care, 2015. Cites: paper

Efficient and sparse feature selection for biomedical text classification via the elastic net: Application to ICU risk stratification from nursing notes
Ben J. Marafino, W. John Boscardin, R. Adams Dudley. Journal of Biomedical Informatics, 2015. Cites: paper

A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data
Marzyeh Ghassemi, Marco A. F. Pimentel, Tristan Naumann et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2015. Cites: paper

False Alarm Reduction in BSN-Based Cardiac Monitoring Using Signal Quality and Activity Type Information
Tanatorn Tanantong, Ekawit Nantajeewarawat, Surapa Thiemjarus. Sensors, 2015. Cites: paper

Increased incidence of diuretic use in critically ill obese patients
Emma J. de Louw, Pepijn O. Sun, Joon Lee et al. Journal of Critical Care, 2015. Cites: paper

Proton pump inhibitor use is not associated with cardiac arrhythmia in critically ill patients
Kenneth P. Chen, Joon Lee, Roger G. Mark et al. The Journal of Clinical Pharmacology, 2015. Cites: paper

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, 2015. Cites: paper

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

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