Publications citing MIMIC-II Clinical Database v2.6.0

Data-driven Discovery of a Sepsis Patients Severity Prediction in the ICU via Pre-training BiLSTM Networks
Qing Li, Lei Frank Huang, Jiang Zhong et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019. Cites: paper

Signal processing for early warning arrhythmia detection and survival prediction for clinical decision
Amit Walinjkar. Open Access at Essex (University of Essex), 2019. Cites: paper

Information Technology in Critical Care
Michael A. De Georgia, Farhad Kaffashi, Frank J. Jacono et al. Springer eBooks, 2019. Cites: paper

Multiple Physiological Signals Fusion Techniques for Improving Heartbeat Detection: A Review
Javier Tejedor, Constantino Antonio García Martínez, David G. Márquez et al. Sensors, 2019. Cites: paper

[Construction of multi-parameter emergency database and preliminary application research].
Junmei Wang, Tongbo Liu, Yuyao Sun et al. PubMed, 2019. Cites: paper

LiSep LSTM: A Machine Learning Algorithm for Early Detection of Septic Shock
Josef Fagerström, Magnus Bång, Daniel Wilhelms et al. Scientific Reports, 2019. Cites: paper

A Cascaded Convolutional Neural Network for Assessing Signal Quality of Dynamic ECG
Qifei Zhang, Lingjian Fu, Gu Linyue. Computational and Mathematical Methods in Medicine, 2019. Cites: paper

The Univariate Flagging Algorithm (UFA): An interpretable approach for predictive modeling
Mallory Sheth, Albert Gerovitch, Roy E. Welsch et al. PLoS ONE, 2019. Cites: paper

Smart "health of things"
Oton Crispim Braga, Francisco Milton Mendes Neto, Antonio M. B. Oliveira et al. Brazilian Symposium on Multimedia and the Web, 2019. Cites: paper

A Robust Neural Network-Based Method to Estimate Arterial Blood Pressure Using Photoplethysmography
Buddhishan Manamperi, Charith D. Chitraranjan. IEEE International Conference on Bioinformatics and Bioengineering (BIBE), 2019. Cites: paper

Constructing a Comprehensive Clinical Database Integrating Patients' Data from Intensive Care Units and General Wards
Tongbo Liu, Xiaoli Liu, Yong Fan et al. International Congress on Image and Signal Processing (CISP), 2019. Cites: paper

Joint Exploitation of Hemodynamic and Electrocardiographic Signals by Hidden Markov Models for Heartbeat Detection
Nelson F. Monroy, Miguel Altuve. World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, 2019. Cites: paper

Preoperative Blood Pressure Complexity Indices as a Marker for Frailty in Patients Undergoing Cardiac Surgery
Valluvan Rangasamy, Teresa S. Henriques, Xinling Xu et al. Journal of Cardiothoracic and Vascular Anesthesia, 2019. Cites: paper

Nocturnal Mean Arterial Pressure Rising Is Associated With Mortality in the Intensive Care Unit: A Retrospective Cohort Study
Jiamei Li, Ruohan Li, Ya Gao et al. Journal of the American Heart Association, 2019. Cites: paper

Cohort selection for clinical trials: n2c2 2018 shared task track 1
Amber Stubbs, Michele Filannino, Ergin Soysal et al. Journal of the American Medical Informatics Association, 2019. Cites: paper

Leveraging implicit expert knowledge for non-circular machine learning in sepsis prediction
Shigehiko Schamoni, Holger A. Lindner, Verena Schneider-Lindner et al. Artificial Intelligence in Medicine, 2019. Cites: paper

Feature Engineering for ICU Mortality Prediction Based on Hourly to Bi-Hourly Measurements
Ahmed Youssef Ali Amer, Julie Vranken, Femke Wouters et al. Applied Sciences, 2019. Cites: paper

A nomogram for predicting the risk of sepsis in patients with acute cholangitis
Qingqing Liu, Quan Zhou, Meina Song et al. Journal of International Medical Research, 2019. Cites: paper

Predicting sepsis with a recurrent neural network using the MIMIC III database
Matthieu Scherpf, Felix Gräßer, Hagen Malberg et al. Computers in Biology and Medicine, 2019. Cites: paper

Changes in nonlinear dynamic complexity measures of blood pressure during anesthesia for cardiac surgeries using cardio pulmonary bypass
Valluvan Rangasamy, Teresa S. Henriques, Pooja A. Mathur et al. Journal of Clinical Monitoring and Computing, 2019. Cites: paper

Energy-Efficient ECG Signal Compression for User Data Input in Cyber-Physical Systems by Leveraging Empirical Mode Decomposition
Hui Huang, Shiyan Hu, Ye Sun. ACM Transactions on Cyber-Physical Systems, 2019. Cites: paper

Clinical big data and deep learning: Applications, challenges, and future outlooks
Ying Yu, Min Li, Liangliang Liu et al. Big Data Mining and Analytics, 2019. Cites: paper

Predicting hospital mortality for intensive care unit patients: Time-series analysis
Aya Awad, Mohamed Bahy Bader-El-Den, James McNicholas et al. Health Informatics Journal, 2019. Cites: paper

Automated Screening of Myocardial Infarction Based on Statistical Analysis of Photoplethysmographic Data
Deboleena Sadhukhan, Sandipan Dhar, Saurabh Pal et al. IEEE Transactions on Instrumentation and Measurement, 2019. Cites: paper

A Characteristic Filtering Method for Pulse Wave Signal Quality Assessment
Wan-Hua Lin, Ning Ji, Lin Wang et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019. Cites: paper

Big Data based Enhanced Ambient Assisted Living System Framework
K Sowjanya, Mou Dasgupta. International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2019. Cites: paper

Estimation of the Blood Pressure Waveform using Electrocardiography
Cederick Landry, Sean D. Peterson, Arash Arami. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019. Cites: paper

Forecasting Hypotension during Vasopressor Infusion via Time Series Analysis
Sungtae Shin, Andrew Tomas Reisner, Bryce Yapps et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019. Cites: paper

Synthetic PPG generation from haemodynamic model with baroreflex autoregulation: a Digital twin of cardiovascular system
Oishee Mazumder, Dibyendu Roy, Sakyajit Bhattacharya et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2019. Cites: paper

The use of photoplethysmography for assessing hypertension
Mohamed Elgendi, R. Fletcher, Yongbo Liang et al. npj Digital Medicine, 2019. Cites: paper

A New Quality-Aware Quality-Control Data Compression Framework for Power Reduction in IoT and Smartphone PPG Monitoring Devices
Simhadri Vadrevu, M. Sabarimalai Manikandan. IEEE Sensors Letters, 2019. Cites: paper

Inspecting a Machine Learning Based Clinical Risk Calculator: A Practical Perspective
Quentin Thurier, Ning Hua, Luke Boyle et al. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2019. Cites: paper

A low-complexity photoplethysmographic systolic peak detector for compressed sensed data
Giulia Da Poian, Nunzio Alexandro Letizia, R. Rinaldo et al. Physiological Measurement, 2019. Cites: paper

Toward Precision Medicine in Intensive Care: Leveraging Electronic Health Records and Patient Similarity
Anis Sharafoddini. UWSpace (University of Waterloo), 2019. Cites: paper

Association of Data Integration Technologies With Intensive Care Clinician Performance
Ying Ling Lin, Patricia Trbovich, Lauren Kolodzey et al. JAMA Network Open, 2019. Cites: paper

Real-Time Quality-Aware PPG Waveform Delineation and Parameter Extraction for Effective Unsupervised and IoT Health Monitoring Systems
Simhadri Vadrevu, M. Sabarimalai Manikandan. IEEE Sensors Journal, 2019. Cites: paper

The opportunities and shortcomings of using big data and national databases for sarcoma research
Heather G. Lyu, Adil Hussain Haider, Adam Landman et al. Cancer, 2019. Cites: paper

Vectorcardiogram eLearning Application
Sanda Šljivo, Dušanka Bošković, Orhan Lepara. World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany, 2019. Cites: paper

Heart Rate Estimation From Wrist-Worn Photoplethysmography: A Review
Dwaipayan Biswas, Neide Simões‐Capela, Chris A. Van Hoof et al. IEEE Sensors Journal, 2019. Cites: paper

Mobile Devices based Eavesdropping of Handwriting
Tuo Yu, Haiming Jin, Klara Nahrstedt. IEEE Transactions on Mobile Computing, 2019. Cites: paper

Annotating and detecting phenotypic information for chronic obstructive pulmonary disease
Meizhi Ju, Andrea D. Short, Paul Thompson et al. JAMIA Open, 2019. Cites: paper

Novel Data Imputation for Multiple Types of Missing Data in Intensive Care Units
Janani Venugopalan, Nikhil K. Chanani, Kevin Maher et al. IEEE Journal of Biomedical and Health Informatics, 2019. Cites: paper

Dynamic multi-outcome prediction after injury: Applying adaptive machine learning for precision medicine in trauma
Sabrinah Ariane Christie, Amanda S. Conroy, Rachael A. Callcut et al. PLoS ONE, 2019. Cites: paper

Data Mined Models for Predicting In-hospital Mortality of Emergency Admissions at Time of Hospital Admission Robert Steele
Robert JC Steele, Trevor Hillsgrove. IEEE SoutheastCon, 2019. Cites: paper

Linking Big Data and Prediction Strategies: Tools, Pitfalls, and Lessons Learned
Shiming Yang, Lynn G. Stansbury, Peter Rock et al. Critical Care Medicine, 2019. Cites: paper

Nested Gaussian process modeling and imputation of high-dimensional incomplete data under uncertainty
Farhad Imani, Changqing Cheng, Ruimin Chen et al. IISE Transactions on Healthcare Systems Engineering, 2019. Cites: paper

Similarity-based Random Survival Forest
Yingying Xu, Joon Lee, Joel A. Dubin. arXiv (Cornell University), 2019. Cites: paper

Multi-class Surveillance for Acute Respiratory Distress Syndrome using Belief Functions
Aline Taoum, Hassan Amoud, Farah Mourad-Chehade. Advances in Science and Engineering Technology International Conferences (ASET), 2019. Cites: paper

Photoplethysmography Based Arrhythmia Detection and Classification
Neha Neha, Rajesh V. Kanawade, Suman Tewary et al. International Conference on Signal Processing and Integrated Networks (SPIN), 2019. Cites: paper

Interpretable Structure-aware Document Encoders with Hierarchical Attention
Khalil Mrini, Claudiu Musat, Michael Baeriswyl et al. arXiv (Cornell University), 2019. Cites: paper

Cited by