Publications citing MIMIC-III Waveform Database v1.0

Development of a nomogram to predict 30-day mortality of patients with sepsis-associated encephalopathy: a retrospective cohort study
Yang� Yang, Shengru Liang, Jie Geng et al. Journal of Intensive Care, 2020. Cites: paper

Learning "What-if" Explanations for Sequential Decision-Making
Ioana Bica, Daniel P. Jarrett, Alihan Hüyük et al. arXiv (Cornell University), 2020. Cites: paper

AIDEx - An Open-source Platform for Real-Time Forecasting Sepsis and A Case Study on Taking ML Algorithms to Production
Fatemeh Amrollahi, Supreeth Prajwal Shashikumar, Pradeeban Kathiravelu et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020. Cites: paper

A Label Attention Model for ICD Coding from Clinical Text
Thanh Vu, Dat Quoc Nguyen, Anthony N Nguyen. International Joint Conference on Artificial Intelligence, 2020. Cites: paper

A Machine Learning Early Warning System: Multicenter Validation in Brazilian Hospitals
Jhonatan Kobylarz, Henrique Dias Pereira dos Santos, Felipe Barletta et al. IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2020. Cites: paper

Clinical Predictive Keyboard using Statistical and Neural Language Modeling
John Pavlopoulos, Panagiotis Papapetrou. IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2020. Cites: paper

Data Mining Methods for Optimizing Feature Extraction and Model Selection
Masha Rouzbahman, Alexandra Jovicic, Lu Wang et al. 2020. Cites: paper

DeepConsensus: Consensus-based Interpretable Deep Neural Networks with Application to Mortality Prediction
Shaeke Salman, Seyedeh Neelufar Payrovnaziri, Xiuwen Liu et al. International Joint Conference on Neural Networks (IJCNN), 2020. Cites: paper

Evaluating and Aggregating Feature-based Model Explanations
Umang Bhatt, Adrian Weller, José M. F. Moura. International Joint Conference on Artificial Intelligence, 2020. Cites: paper

Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models
Sibghat Ullah, Xu Zhao, Hao Wang et al. International Joint Conference on Neural Networks (IJCNN), 2020. Cites: paper

Generalized Zero-Shot Text Classification for ICD Coding
Congzheng Song, Shanghang Zhang, Najmeh Sadoughi et al. International Joint Conference on Artificial Intelligence, 2020. Cites: paper

Joint Medical Ontology Representation Learning for Healthcare Predictions
Ke Wang, Ning Chen, Ting Chen. International Joint Conference on Neural Networks (IJCNN), 2020. Cites: paper

Practical Machine Learning-Based Sepsis Prediction
Michael J. Pettinati, Gengbo Chen, Kuldeep Singh Rajput et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020. Cites: paper

Predicting Length of Stay for Cardiovascular Hospitalizations in the Intensive Care Unit: Machine Learning Approach
Belal Saeed Alsinglawi, Fady S.K. Alnajjar, Omar Mubin et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020. Cites: paper

Predicting Mortality in Critical Care Patients with Fungemia Using Structured and Unstructured Data
Sally L. Baxter, Adam Klie, Bharanidharan Radha Saseendrakumar et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020. Cites: paper

Prediction of Septic Shock Onset in ICU by Instantaneous Monitoring of Vital Signs
Maximiliano Mollura, Stefano Romano, Giulio Mantoan et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020. Cites: paper

Preliminary Results on Density Poincare Plot Based Atrial Fibrillation Detection from Premature Atrial/Ventricular Contractions
Syed Khairul Bashar, Dong Han, Fearass Zieneddin et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020. Cites: paper

Real-world characterization of blood glucose control and insulin use in the intensive care unit
Lawrence Baker, Jason H. Maley, Aldo Robles Arévalo et al. Scientific Reports, 2020. Cites: paper

Red cell distribution width is correlated with all-cause mortality of patients in the coronary care unit
Yangpei Peng, Xueqiang Guan, Jie Wang et al. Journal of International Medical Research, 2020. Cites: paper

Rethinking animal models of sepsis – working towards improved clinical translation whilst integrating the 3Rs
Manasi Nandi, Simon K. Jackson, Duncan J. Macrae et al. Clinical Science, 2020. Cites: paper

Statistical Analysis of Inter-attribute Relationships in Unfractionated Heparin Injection Problems
Haizhou Wang, Hui Yong Yang. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020. Cites: paper

Supervised-actor-critic reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units
Chao Yu, Guoqi Ren, Yinzhao Dong. BMC Medical Informatics and Decision Making, 2020. Cites: paper

Supervised Machine-Learning Algorithms in Real-time Prediction of Hypotensive Events
Mina Chookhachizadeh Moghadam, Ehsan Masoumi, Nader Bagherzadeh et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020. Cites: paper

The role of waveform monitoring in Sepsis identification within the first hour of Intensive Care Unit stay
Maximiliano Mollura, Giulio Mantoan, Stefano Romano et al. Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), 2020. Cites: paper

Validation of Pulse Transit Time Based Blood Pressure Estimation on Atrial Fibrillation Patients
Yang Chen, Shoulin Huang, Tong Wang et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020. Cites: paper

AdaSGD: Bridging the gap between SGD and Adam
Jiaxuan Wang, Jenna Wiens. arXiv (Cornell University), 2020. Cites: paper

[Effects of cholestasis and hypoxic hepatitis on prognosis of ICU patients: a retrospective study based on MIMIC Ⅲ database].
Song Huimin, Jing Wang, Hsin-Hsiung Chang et al. PubMed Central, 2020. Cites: paper

Testing House of God’s Law VII: Was the Fat Man Right?
Bernhard Wernly, Nadia Heramvand, Moritz Mirna et al. Journal of Intensive Care Medicine, 2020. Cites: paper

Continuous blood pressure measurement from one-channel electrocardiogram signal using deep-learning techniques
Fen Miao, Bo Wen, Zhejing Hu et al. Artificial Intelligence in Medicine, 2020. Cites: paper

Digital microbiology
Adrian Egli, Jacques Schrenzel, Gilbert Greub. Clinical Microbiology and Infection, 2020. Cites: paper

Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learning
Khaled Shawwa, Erina Ghosh, Stephanie Lanius et al. Clinical Kidney Journal, 2020. Cites: paper

Towards unstructured mortality prediction with free-text clinical notes
Mohammad Hashir, Rapinder Singh Sawhney. Journal of Biomedical Informatics, 2020. Cites: paper

A New Modeling Method Base on Candidate Window for Clinical Concept Extraction
Yongtao Tang, Jie Yu, Shasha Li et al. 2020. Cites: paper

Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data
Shengpu Tang, Parmida Davarmanesh, Yanmeng Song et al. Journal of the American Medical Informatics Association, 2020. Cites: paper

Novel Density Poincaré Plot Based Machine Learning Method to Detect Atrial Fibrillation From Premature Atrial/Ventricular Contractions
Syed Khairul Bashar, Dong Han, Fearass Zieneddin et al. IEEE Transactions on Biomedical Engineering, 2020. Cites: paper

A primer on artificial intelligence for the paediatric cardiologist
Addison S. Gearhart, Sharib Gaffar, Anthony C. Chang. Cardiology in the Young, 2020. Cites: paper

FasTag: Automatic text classification of unstructured medical narratives
Guhan Ram Venkataraman, Arturo López Pineda, Oliver J. Bear Don’t Walk et al. PLoS ONE, 2020. Cites: paper

Recommendations for improving national clinical datasets for health equity research
Rebecca G. Block, Jon E. Puro, Erika Cottrell et al. Journal of the American Medical Informatics Association, 2020. Cites: paper

VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data
Chao Ma, Sebastian Tschiatschek, Hernández-Lobato, José Miguel et al. arXiv (Cornell University), 2020. Cites: paper

Association of plasma lactate level with 28-day mortality in non-elderly and elderly sepsis patients: A retrospective cohort study based on the MIMIC- Ⅲ database
Yihua Dong, Xiaoyang Miao, Yufeng Hu et al. Research Square, 2020. Cites: paper

Red Blood Cell Distribution Width, Neutrophil-to-Lymphocyte Ratio, and In-Hospital Mortality in Dyspneic Patients Admitted to the Emergency Department
Li Yan, Zhi-De Hu. Disease Markers, 2020. Cites: paper

“Yes, but will it work for my patients?” Driving clinically relevant research with benchmark datasets
Trishan Panch, Tom Pollard, Heather Mattie et al. npj Digital Medicine, 2020. Cites: paper

Deep Learning for Cardiovascular Risk Stratification
Daphne E. Schlesinger, Collin M. Stultz. Current Treatment Options in Cardiovascular Medicine, 2020. Cites: paper

Generating sequential electronic health records using dual adversarial autoencoder
Dongha Lee, Hwanjo Yu, Xiaoqian Jiang et al. Journal of the American Medical Informatics Association, 2020. Cites: paper

Goodness-of-Fit Test for Mismatched Self-Exciting Processes
Wei, Song, Shixiang Zhu, Minghe Zhang et al. arXiv (Cornell University), 2020. Cites: paper

Goodness-of-Fit Test for Self-Exciting Processes.
Wei Guo Song, Shixiang Zhu, Minghe Zhang et al. arXiv (Cornell University), 2020. Cites: paper

Towards Model-Agnostic Post-Hoc Adjustment for Balancing Ranking Fairness and Algorithm Utility
Sen Cui, Weishen Pan, Changshui Zhang et al. arXiv (Cornell University), 2020. Cites: paper

xOrder: A Model Agnostic Post-Processing Framework for Achieving Ranking Fairness While Maintaining Algorithm Utility.
Sen Cui, Weishen Pan, Changshui Zhang et al. arXiv (Cornell University), 2020. Cites: paper

Text Processing for Detection of Fungal Ocular Involvement in Critical Care Patients: Cross-Sectional Study
Sally L. Baxter, Adam Klie, Bharanidharan Radha Saseendrakumar et al. Journal of Medical Internet Research, 2020. Cites: paper

Long-Term Prognosis of Older Adults Who Survive Emergency Mechanical Ventilation
Kei Ouchi, Josephine Lo Bello, Edward T. Moseley et al. Journal of Pain and Symptom Management, 2020. Cites: paper

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