Publications citing MIMIC-III Waveform Database Matched Subset v1.0

Estimating the Effects of Individual Nurses on ICU Outcomes
Stephen E. Brossette, Ning Zheng, Daisy Y. Wong et al. medRxiv, 2020. Cites: paper

Modeling the Steady-State Effects of Mean Arterial Pressure on the Kidneys
Benjamin J. Czerwin, Sandip Pravin Patel, Caitlyn M. Chiofolo et al. IEEE Open Journal of Engineering in Medicine and Biology, 2020. Cites: paper

Amplifying Domain Expertise in Clinical Data Pipelines
Protiva Rahman, Arnab Nandi, Courtney L. Hebert. JMIR Medical Informatics, 2020. Cites: paper

Artificial Intelligence in the Intensive Care Unit
Massimiliano Greco, Pier Francesco Caruso, Maurizio Cecconi. Seminars in Respiratory and Critical Care Medicine, 2020. Cites: paper

Platelets as a prognostic marker for sepsis
Lina Zhao, Lijiao Zhao, Yun ying Wang et al. Medicine, 2020. Cites: paper

Automatic Classification System of Arrhythmias Using 12-Lead ECGs with a Deep Neural Network Based on an Attention Mechanism
Dengao Li, Hang Wu, Jumin Zhao et al. Symmetry, 2020. Cites: paper

Generating publicly available progress notes of authentic quality: A crowdsourcing-based approach (Preprint)
Rina Kagawa, Yukino Baba, Hideo Tsurushima. 2020. Cites: paper

The quest for raw signals
Florian Wolling, Kristof Van Laerhoven. Workshop on Data: Acquisition To Analysis (DATA), 2020. Cites: paper

Automatic generation of minimum dataset and quality indicators from data collected routinely by the clinical information system in an intensive care unit
María A. Bodí, Laura Claverías, Federico Esteban et al. International Journal of Medical Informatics, 2020. Cites: paper

Can reproducibility be improved in clinical natural language processing? A study of 7 clinical NLP suites
William ER Digan, Aurélie Névéol A, Antoine Neuraz et al. Journal of the American Medical Informatics Association, 2020. Cites: paper

Well-being Forecasting using a Parametric Transfer-Learning method based on the Fisher Divergence and Hamiltonian Monte Carlo
Eirini Christinaki, Tasos Papastylianou, Sara Carletto et al. EAI Endorsed Transactions on Bioengineering and Bioinformatics, 2020. Cites: paper

Arterial oxygen pressure targets in critically ill patients: Analysis of a large ICU database
Chang Xu, Dan-wei Jiang, Weiyong Qiu et al. Heart & Lung, 2020. Cites: paper

Empirical analysis of Zipf’s law, power law, and lognormal distributions in medical discharge reports
Juan C. Quiroz, Liliana Laranjo, Cătălin Tufănaru et al. International Journal of Medical Informatics, 2020. Cites: paper

Faster Clinical Time Series Classification with Filter Based Feature Engineering Tree Boosting Methods
Yanke Hu, Wangpeng An, Raj Subramanian et al. Studies in computational intelligence, 2020. Cites: paper

PPGSynth: An Innovative Toolbox for Synthesizing Regular and Irregular Photoplethysmography Waveforms
Qunfeng Tang, Zhencheng Chen, John Allen et al. Frontiers in Medicine, 2020. Cites: paper

Uncertainty Characterization for Predictive Analytics with Clinical Time Series Data
Yang Guo, Zhengyuan Liu, Savitha Ramasamy et al. Studies in computational intelligence, 2020. Cites: paper

Visualization of Deep Models on Nursing Notes and Physiological Data for Predicting Health Outcomes Through Temporal Sliding Windows
Jienan Yao, Yuyang Liu, Brenna Li et al. Studies in computational intelligence, 2020. Cites: paper

Accelerated SGD for Tensor Decomposition of Sparse Count Data
Huan He, Yuanzhe Xi, Joyce C. Ho. IEEE ... International Conference on Data Mining workshops, 2020. Cites: paper

Admission oxygen saturation and all-cause in-hospital mortality in acute myocardial infarction patients: data from the MIMIC-III database
Yue Shuang Yu, Jun Wang, Qing Wang et al. Annals of Translational Medicine, 2020. Cites: paper

Adversarial Precision Sensing with Healthcare Applications
Fengyi Tang, Lifan Zeng, Fei Wang et al. Proceedings, 2020. Cites: paper

BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes
Xueping Peng, Guodong Long, Tao Shen et al. Proceedings, 2020. Cites: paper

Convex Parameter Recovery for Interacting Marked Processes
Anatoli Juditsky, Arkadi S. Nemirovski, Liyan Xie et al. IEEE Journal on Selected Areas in Information Theory, 2020. Cites: paper

Development and Verification of a Digital Twin Patient Model to Predict Specific Treatment Response During the First 24 Hours of Sepsis
Amos Lal, Guangxi Li, Edin Cubro et al. Critical Care Explorations, 2020. Cites: paper

Estimating Individual Treatment Effects with Time-Varying Confounders
Ruoqi Liu, Changchang Yin, Ping Zhang. Proceedings, 2020. Cites: paper

Estimation of Missing Data in Intelligent Transportation System
Bahareh Najafi, Saeedeh Parsaeefard, Alberto Leon‐Garcia. IEEE Vehicular Technology Conference, 2020. Cites: paper

GAM feature selection to discover predominant factors for mortality of weekend and weekday admission to the ICUs
Yi Ming Cai, Jianian Zheng, Xiaoliang Zhang et al. Smart Health, 2020. Cites: paper

Heatmaps for Visual Explainability of CNN-Based Predictions for Multivariate Time Series with Application to Healthcare
Fabien Viton, Mahmoud Elbattah, Jean-Luc Guérin et al. IEEE International Conference on Healthcare Informatics (ICHI), 2020. Cites: paper

Integrating Text Embedding with Traditional NLP Features for Clinical Relation Extraction
Fatema Hasan, Arpita Roy, Shimei Pan. IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2020. Cites: paper

Intimate Partner Violence and Injury Prediction From Radiology Reports
Irene Y. Chen, Emily Alsentzer, Hyesun Park et al. Pacific Symposium on Biocomputing (PSB), 2020. Cites: paper

Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score
Zhiliang Wu, Yinchong Yang, Yunpu Ma et al. IEEE International Conference on Healthcare Informatics (ICHI), 2020. Cites: paper

Machine Learning and Deep Learning Approaches to Quantify Respiratory Distress Severity and Predict Critical Alarms
Rohit Pardasani, Rupanjali Chaudhuri, Navchetan Awasthi et al. IEEE International Conference on Healthcare Informatics (ICHI), 2020. Cites: paper

Order-Preserving Metric Learning for Mining Multivariate Time Series
Jie Xu, Zhenxing Xu, Bin Yu et al. Proceedings, 2020. Cites: paper

Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data
Weijian Li, Wei Zhu, E. Ray Dorsey et al. Proceedings, 2020. Cites: paper

Prediction of breast cancer distant recurrence using natural language processing and knowledge-guided convolutional neural network
Hanyin Wang, Yikuan Li, Seema Ahsan Khan et al. Artificial Intelligence in Medicine, 2020. Cites: paper

Safe Reinforcement Learning for Sepsis Treatment
Yan Jia, John Burden, Tom Lawton et al. IEEE International Conference on Healthcare Informatics (ICHI), 2020. Cites: paper

GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models
Dingfan Chen, Ning Yu, Yang Zhang et al. ACM SIGSAC Conference on Computer and Communications Security (CCS), 2020. Cites: paper

Combining structured and unstructured data for predictive models: a deep learning approach
Dongdong Zhang, Changchang Yin, Jucheng Zeng et al. BMC Medical Informatics and Decision Making, 2020. Cites: paper

Multiple Sclerosis Severity Classification From Clinical Text
Alister D Costa, Stefan Denkovski, Michal Malyska et al. arXiv (Cornell University), 2020. Cites: paper

DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data
Yanbo Xu, Cao Xiao, Jimeng Sun. arXiv (Cornell University), 2020. Cites: paper

Impact of Fluid Balance on Mortality Is Mediated by Fluid Accumulation Index in Sepsis: A Cohort Study
Yanfei Shen, Xinmei Huang, Guolong Cai et al. Journal of Intensive Care Medicine, 2020. Cites: paper

A deep learning approach for sepsis monitoring via severity score estimation
Tunç Aşuroğlu, Hasan Oğul. Computer Methods and Programs in Biomedicine, 2020. Cites: paper

KAICD: A knowledge attention-based deep learning framework for automatic ICD coding
Yifan Wu, Min Zeng, Zhihui Fei et al. Neurocomputing, 2020. Cites: paper

Multi-label classification and evidential approach in diseases diagnoses using physiological signals
Mohamed Mroueh, Farah Mourad-Chehade, Fahed Abdallah. Middle East Conference on Biomedical Engineering, 2020. Cites: paper

Clinical prediction models to predict the risk of multiple binary outcomes: a comparison of approaches
Glen Philip Martin, Matthew Sperrin, Kym I. E. Snell et al. Statistics in Medicine, 2020. Cites: paper

Clinical prediction models to predict the risk of multiple binary outcomes: a comparison of approaches.
Glen Philip Martin, Matthew Sperrin, Kym I E Snell et al. Keele Research Repository (Keele University), 2020. Cites: paper

Measurement of Semantic Textual Similarity in Clinical Texts: Comparison of Transformer-Based Models
Xi Yang, Xing He, Hansi Zhang et al. JMIR Medical Informatics, 2020. Cites: paper

Using MLP partial responses to explain in-hospital mortality in ICU
Iván Olier, Annabel Sansom, Paulo J.G. Lisboa et al. International Conference on Data Analytics for Business and Industry (ICDABI), 2020. Cites: paper

Faster Healthcare Time Series Classification for Boosting Mortality Early Warning System
Yanke Hu, Raj Subramanian, Wangpeng An et al. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020. Cites: paper

Serum anion gap at admission predicts all-cause mortality in critically ill patients with cerebral infarction: evidence from the MIMIC-III database
Xuefang Liu, Yanlin Feng, Xinyu Zhu et al. Biomarkers, 2020. Cites: paper

A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data
Chenxi Sun, Shenda Hong, Moxian Song et al. PubMed, 2020. Cites: paper

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