Publications citing MIMIC-II Clinical Database v2.6.0

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. IEEE Systems and Information Engineering Design Symposium (SIEDS), 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

A Game Theoretic Predictive Modeling Approach to Reduction of False Alarm
Fatemeh Afghah, Abolfazl Razi, S. M. Reza Soroushmehr et al. Lecture notes in computer science, 2016. Cites: paper

A low cost implementation of multi-parameter patient monitor using intersection kernel support vector machine classifier
Dhanya Mohan, C. Santhosh Kumar. AIP conference proceedings, 2016. Cites: paper

A Study on A Hypertension Diagnosis Method using PPG and New Features by PCA
Byunghak Kong, Donghyeon Kim, Shahzad Ahsan et al. 한국통신학회 학술대회논문집, 2016. Cites: paper

Blood Pressure and the Risk of Acute Kidney Injury in the ICU: Case-Control Versus Case-Crossover Designs
Li-wei H. Lehman, Mengling Feng, Yijun Yang et al. Springer eBooks, 2016. Cites: paper

Brundlefly at SemEval-2016 Task 12: Recurrent Neural Networks vs. Joint Inference for Clinical Temporal Information Extraction
Jason Fries. International Workshop on Semantic Evaluation (SemEval), 2016. Cites: paper

Challenges and Opportunities in Secondary Analyses of Electronic Health Record Data
Sunil Nair, Douglas J. Hsu, Leo Anthony Celi. Springer eBooks, 2016. Cites: paper

Classification Based on Compressive Multivariate Time Series
Chandra Prasetyo Utomo, Xue Li, Sen Wang. Lecture notes in computer science, 2016. Cites: paper

Clinical Question Answering using Key-Value Memory Networks and Knowledge Graph.
Sadid A. Hasan, Siyuan Zhao, Vivek V. Datla et al. Text REtrieval Conference, 2016. Cites: paper

Comparative Effectiveness: Propensity Score Analysis
Kenneth P. Chen, Ari L. Moskowitz. Springer eBooks, 2016. Cites: paper

Data Fusion Techniques for Early Warning of Clinical Deterioration
Peter H Charlton, Marco A. F. Pimentel, Sharukh Lokhandwala. Springer eBooks, 2016. Cites: paper

Discovering Related Clinical Concepts Using Large Amounts of Clinical Notes
Kavita Ganesan, Shane A. J. Lloyd, Vikren Sarkar. Biomedical Engineering and Computational Biology, 2016. Cites: paper

Early Detection of Acute Kidney Injury with Bayesian Networks.
Harry Freitas da Cruz, Bastien Grasnick, Henriette Dinger et al. 2016. Cites: paper

Future of Healthcare—Sensor Data-Driven Prognosis
Arpan Pal, Arijit Mukherjee, S. Dey. Springer series in wireless technology, 2016. Cites: paper

Fuzzy Modeling Based on Mixed Fuzzy Clustering for Multivariate Time Series of Unequal Lengths
Cátia M. Salgado, Susana Margarida Vieira, João M. C. Sousa. Communications in computer and information science, 2016. Cites: paper

Hyperparameter Selection
Franck Dernoncourt, Shamim Nemati, Elias Baedorf Kassis et al. Springer eBooks, 2016. Cites: paper

ICU Pad Project: application of modern computer technology in pediatric postoperative cardiac intensive care. Pilot study
Katarzyna Karolina Gendera, Grzegorz Lipecki, Marcin Miedziński et al. Polish Journal of Cardio-Thoracic Surgery, 2016. Cites: paper

Improving Health Consumer Search with Contextual Information
Beloborodov, Alexander, Lorraine Goeuriot. HAL, 2016. Cites: paper

Improving Patient Cohort Identification Using Natural Language Processing
Raymond Francis Sarmiento, Franck Dernoncourt. Springer eBooks, 2016. Cites: paper

Interpretable Topic Features for Post-ICU Mortality Prediction.
Yen-Fu Luo, Anna Rumshisky. PubMed Central, 2016. Cites: paper

Machine Learning and Decision Support in Critical Care This paper discusses the issues of compartmentalization, corruption, and complexity involved in collection and preprocessing of critical care data.
Alistair E. W. Johnson, Mohammad M. Ghassemi, Shamim Nemati et al. 2016. Cites: paper

Missing Data
Cátia M. Salgado, Carlos S. Azevedo, Hugo Manuel Proença et al. Springer eBooks, 2016. Cites: paper

Mortality Prediction in the ICU Based on MIMIC-II Results from the Super ICU Learner Algorithm (SICULA) Project
Romain Pirracchio. Springer eBooks, 2016. Cites: paper

Objectives of the Secondary Analysis of Electronic Health Record Data
Sharukh Lokhandwala, Barret N. M. Rush. Springer eBooks, 2016. Cites: paper

Patient risk stratification with time-varying parameters: a multitask learning approach
Jenna Wiens, John V. Guttag, Eric Horvitz. DSpace@MIT (Massachusetts Institute of Technology), 2016. Cites: paper

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