Publications citing MIMIC-III Waveform Database v1.0

Curation of an intensive care research dataset from routinely collected patient data in an NHS trust.
Chris McWilliams, Joshua Inoue, Philip Wadey et al. F1000Research, 2019. Cites: paper

ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU
William Caicedo-Torres, Jairo Gutiérrez. Journal of Biomedical Informatics, 2019. Cites: paper

The “inconvenient truth” about AI in healthcare
Trishan Panch, Heather Mattie, Leo Anthony Celi. npj Digital Medicine, 2019. Cites: paper

Extracting entities with attributes in clinical text via joint deep learning
Xue Shi, Yingping Yi, Ying Xiong et al. Journal of the American Medical Informatics Association, 2019. Cites: paper

Optimizing for Interpretability in Deep Neural Networks with Tree Regularization
Mike Wu, Sonali Parbhoo, Michael C. Hughes et al. arXiv (Cornell University), 2019. Cites: paper

Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian Model
Wenbo Gong, Sebastian Tschiatschek, Richard E. Turner et al. arXiv (Cornell University), 2019. Cites: paper

Red blood cell distribution width provides additional prognostic value beyond severity scores in adult critical illness
Yanqiu Han, Li Yan, Lei Zhang et al. Clinica Chimica Acta, 2019. Cites: paper

Regional Tree Regularization for Interpretability in Black Box Models
Mike Wu, Sonali Parbhoo, Michael C. Hughes et al. arXiv (Cornell University), 2019. Cites: paper

DeepAISE -- An End-to-End Development and Deployment of a Recurrent Neural Survival Model for Early Prediction of Sepsis
Supreeth Prajwal Shashikumar, Christopher S. Josef, Ashish Sharma et al. arXiv (Cornell University), 2019. Cites: paper

BERT-based Ranking for Biomedical Entity Normalization
Zongcheng Ji, Qiang Wei, Hua Xu. PubMed Central, 2019. Cites: paper

Admission serum sodium and potassium levels predict survival among critically ill patients with acute kidney injury: a cohort study
Xuping Gao, Chen-fei Zheng, Minqi Liao et al. BMC Nephrology, 2019. Cites: paper

Heterogeneity introduced by EHR system implementation in a de-identified data resource from 100 non-affiliated organizations
Earl F. Glynn, Mark Allan Hoffman. JAMIA Open, 2019. Cites: paper

Towards precision critical care management of blood pressure in hemorrhagic stroke patients using dynamic linear models
Yuzhe Liu, Jody Manners, Yazan Bittar et al. PLoS ONE, 2019. Cites: paper

Blood Pressure Estimation from Photoplethysmogram Using a Spectro-Temporal Deep Neural Network
Gašper Slapničar, Nejc Mlakar, Mitja Luštrek. Sensors, 2019. Cites: paper

AI in Health: State of the Art, Challenges, and Future Directions
Fei Wang, Anita M. Preininger. Yearbook of Medical Informatics, 2019. Cites: paper

Query Reconstruction in Medical Case Description Using Query Performance Predictors
Yao Yao, Mingming Lu, Yu K. Fang. International Conference on Information Technology in Medicine and Education, 2019. Cites: paper

Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification
Michel Oleynik, Amila Kugic, Zdenko Kasáč et al. Journal of the American Medical Informatics Association, 2019. Cites: paper

Exercise interventions are delayed in critically ill patients: a cohort study in an Australian tertiary intensive care unit
Marc Nickels, Leanne M. Aitken, James Walsham et al. Physiotherapy, 2019. Cites: paper

Identification key scheme to enhance network performance in wireless body area network
Israa Ibraheem Al Barazanchi, Haider Rasheed Abdulshaheed, Shihab A. Shawkat‎‎ et al. Periodicals of Engineering and Natural Sciences (PEN), 2019. Cites: paper

Association Between the Use of Sodium Bicarbonate and Mortality in Acute Kidney Injury Using Marginal Structural Cox Model
Zhongheng Zhang, Lei Mo, Kwok Ming Ho et al. Critical Care Medicine, 2019. Cites: paper

Advocacy Learning: Learning through Competition and Class-Conditional Representations
Ian Fox, Jenna Wiens. International Joint Conference on Artificial Intelligence, 2019. Cites: paper

Closed-World Semantics for Conjunctive Queries with Negation over ELH-bottom Ontologies
Stefan Borgwardt, Walter Forkel. International Joint Conference on Artificial Intelligence, 2019. Cites: paper

Medical Concept Embedding with Multiple Ontological Representations
Lihong Song, Chin Wang Cheong, Kejing Yin et al. International Joint Conference on Artificial Intelligence, 2019. Cites: paper

Novel Method of Atrial Fibrillation Case Identification and Burden Estimation Using the MIMIC-III Electronic Health Data Set
Eric Ding, Daniella Albuquerque, Michael R Winter et al. Journal of Intensive Care Medicine, 2019. Cites: paper

Pre-training of Graph Augmented Transformers for Medication Recommendation
Junyuan Shang, Tengfei Ma, Cao Xiao et al. International Joint Conference on Artificial Intelligence, 2019. Cites: paper

RDPD: Rich Data Helps Poor Data via Imitation
Shenda Hong, Cao Xiao, Trong Nghia Hoang et al. International Joint Conference on Artificial Intelligence, 2019. Cites: paper

Truly Batch Apprenticeship Learning with Deep Successor Features
Donghun Lee, Srivatsan Srinivasan, Finale Doshi‐Velez. International Joint Conference on Artificial Intelligence, 2019. Cites: paper

VS-GRU: A Variable Sensitive Gated Recurrent Neural Network for Multivariate Time Series with Massive Missing Values
Qianting Li, Yong Xu. Applied Sciences, 2019. Cites: paper

Artificial intelligence and machine learning in clinical development: a translational perspective
Pratik P. Shah, Francis Kendall, Sean Khozin et al. npj Digital Medicine, 2019. Cites: paper

Increased body mass index linked to greater short- and long-term survival in sepsis patients: A retrospective analysis of a large clinical database
Shuhe Li, Xiaoguang Hu, Jinghong Xu et al. International Journal of Infectious Diseases, 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

Adaptive-Halting Policy Network for Early Classification
Thomas Hartvigsen, Cansu Şen, Xiangnan Kong et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019. Cites: paper

Retaining Privileged Information for Multi-Task Learning
Fengyi Tang, Cao Xiao, Fei Wang et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019. Cites: paper

Temporal Probabilistic Profiles for Sepsis Prediction in the ICU
Eitam Sheetrit, Nir Nissim, Denis Klimov et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019. Cites: paper

Unsupervised Clinical Language Translation
Wei‐Hung Weng, Yu-An Chung, Peter Szolovits B. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019. Cites: paper

Extracting medications and associated adverse drug events using a natural language processing system combining knowledge base and deep learning
Long Chen, 裕二池谷, Xin Ji et al. Journal of the American Medical Informatics Association, 2019. Cites: paper

Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting
Xi Yang, Jiang Bian, Ruogu Fang et al. Journal of the American Medical Informatics Association, 2019. Cites: paper

Deep Reinforcement Learning for Clinical Decision Support: A Brief Survey
Siqi Liu, Kee Yuan Ngiam, Mengling Feng. arXiv (Cornell University), 2019. Cites: paper

Multi-label clinical document classification: Impact of label-density
Alberto Blanco, Arantza Casillas, Alicia Pérez et al. Expert Systems with Applications, 2019. Cites: paper

Prospects and Challenges of Population Health with Online and other Big Data in Africa: Understanding the Link to Improving Healthcare Service Delivery
Rowland Edet, Obasanjo Afolabi Bolarinwa. Advanced Journal of Social Science, 2019. Cites: paper

Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics
Khushbu Agarwal, Tome Eftimov, Raghavendra Addanki et al. arXiv (Cornell University), 2019. Cites: paper

Use of plasma lactate level to predict 28-day mortality in non-elderly and elderly sepsis patients based on the MIMIC-III database
Yihua Dong, Xiaoyang Miao, Yufeng Hu et al. Research Square, 2019. Cites: paper

GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination
Junyuan Shang, Cao Xiao, Tengfei Ma et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2019. Cites: paper

Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization
Kejing Yin, Dong Qian, William K. Cheung et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2019. Cites: paper

Meaningful Explanations of Black Box AI Decision Systems
Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2019. Cites: paper

Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff
Gagan Bansal, Besmira Nushi, Ece Semiha Kamar et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2019. Cites: paper

Modeling the Uncertainty in Electronic Health Records: a Bayesian Deep Learning Approach
Riyi Qiu, Yugang Jia, Mirsad Hadžikadić et al. arXiv (Cornell University), 2019. Cites: paper

A disease inference method based on symptom extraction and bidirectional Long Short Term Memory networks
Donglin Guo, Guihua Duan, Ying Yu et al. Methods, 2019. Cites: paper

Analysis and prediction of unplanned intensive care unit readmission using recurrent neural networks with long short-term memory
Yu-Wei Lin, Yuqian Zhou, Faraz Faghri et al. PLoS ONE, 2019. Cites: paper

Multimorbidity states associated with higher mortality rates in organ dysfunction and sepsis: a data-driven analysis in critical care
Zsolt E. Zador, Alexander Landry, Michael D. Cusimano et al. Critical Care, 2019. Cites: paper

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