Publications citing MIMIC-II Clinical Database v2.6.0

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. IEEE International Symposium on Computer-Based Medical Systems (CBMS), 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 O'D. 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

Predicting tachycardia as a surrogate for instability in the intensive care unit
Joo Heung Yoon, Liuquan Mu, Lujie Chen et al. Journal of Clinical Monitoring and Computing, 2019. Cites: paper

Synchronization control of pulsatile ventricular assist devices by combination usage of different physiological signals
Xinghui Li, Lunchao Zhong, Lin Luo et al. Computer Assisted Surgery, 2019. Cites: paper

Machine-Learning-Based Laboratory Developed Test for the Diagnosis of Sepsis in High-Risk Patients
Jacob S. Calvert, Nicholas Saber, Jana L. Hoffman et al. Diagnostics, 2019. Cites: paper

Automatic ICD code assignment of Chinese clinical notes based on multilayer attention BiRNN
Ying Yu, Min Li, Liangliang Liu et al. Journal of Biomedical Informatics, 2019. Cites: paper

Description of Clinical Characteristics of VAP Patients in MIMIC Database
Qingqing Liu, Jin Yang, Jun Zhang et al. Frontiers in Pharmacology, 2019. Cites: paper

Evidence-based model for real-time surveillance of ARDS
Aline Taoum, Farah Mourad-Chehade, Hassan Amoud. Biomedical Signal Processing and Control, 2019. Cites: paper

Multi-sensor data fusion : Application to the prediction of ARDS
Aline Taoum. 2019. Cites: paper

Real-Time PPG Signal Quality Assessment System for Improving Battery Life and False Alarms
Simhadri Vadrevu, M. Sabarimalai Manikandan. IEEE Transactions on Circuits & Systems II Express Briefs, 2019. Cites: paper

An accurate missing data prediction method using LSTM based deep learning for health care
Hemant Verma, Sudhir Kumar. International Conference on Distributed Computing and Networking (ICDCN), 2019. Cites: paper

A Hybrid Normalization Method for Medical Concepts in Clinical Narrative using Semantic Matching.
Yen-Fu Luo, Weiyi Sun, Anna Rumshisky. PubMed Central, 2019. Cites: paper

A new model for tracking and detection of deterioration of vital signs based on artificial neural network
Tariq Ibrahim Al-Shwaheen, Wenhao Yuan. 2019. Cites: paper

Bronchopulmonary Dysplasia
Pierro. 2019. Cites: paper

Characterization of Drug Use Patterns Using Process Mining and Temporal Abstraction Digital Phenotyping
Eric Rojas, Daniel Capurro N. Lecture notes in business information processing, 2019. Cites: paper

Critical Care, Critical Data
Christopher V. Cosgriff, Leo Anthony Celi, David J. Stone. Biomedical Engineering and Computational Biology, 2019. Cites: paper

Early Detection of Inpatient Deterioration Using Wearable Monitors
Timothy Bonnici. 2019. Cites: paper

End-to-End Blood Pressure Prediction via Fully Convolutional Networks
Sanghyun Baek, Ji-Yong Jang, Sungroh Yoon. IEEE Access, 2019. Cites: paper

Finding Understudied Disorders Potentially Associated with Maternal Morbidity and Mortality
Laritza M Rodriguez, Dina Demner Fushman. American Journal of Perinatology Reports, 2019. Cites: paper

Generating Positive Psychosis Symptom Keywords from Electronic Health Records
Natalia Viani, Rashmi Patel, Robert J. Stewart et al. Lecture notes in computer science, 2019. Cites: paper

Hypotensive Episode Prediction in ICUs via Observation Window Splitting
Elad Tsur, Mark Last, Victor F. Garcia et al. Lecture notes in computer science, 2019. Cites: paper

Machine Learning Approaches in Smart Health
Zeina Rayan, Marco Alfonse, Abdel-Badeeh Mohamed Salem. Procedia Computer Science, 2019. Cites: paper

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