Publications citing MIMIC-III Waveform Database v1.0

Feasibility of atrial fibrillation detection from a novel wearable armband device
Syed Khairul Bashar, Md-Billal Hossain, Jesús Mateo Lázaro et al. Cardiovascular Digital Health Journal, 2021. Cites: paper

Medication Combination Prediction Using Temporal Attention Mechanism and Simple Graph Convolution
Haiqiang Wang, Yinying Wu, Chao Gao et al. IEEE Journal of Biomedical and Health Informatics, 2021. Cites: paper

Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices
Doudou Zhou, Tianxi Cai, Junwei Lu. arXiv (Cornell University), 2021. Cites: paper

A Clinical Prediction Model to Predict Heparin Treatment Outcomes and Provide Dosage Recommendations: Development and Validation Study
Dongkai Li, Jianwei Gao, Na Hong et al. Journal of Medical Internet Research, 2021. Cites: paper

Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction
Laila Rasmy, Yang Xiang, Ziqian Xie et al. npj Digital Medicine, 2021. Cites: paper

Effects of Stress Hyperglycemia on Short-Term Prognosis of Patients Without Diabetes Mellitus in Coronary Care Unit
Luming Zhang, Zichen Wang, Fengshuo Xu et al. Frontiers in Cardiovascular Medicine, 2021. Cites: paper

Mechanical Power Normalized to Predicted Body Weight is Associated with Mortality in Critically Ill Patients: A Cohort Study
Yanhong Zhu, Wenyong Peng, Shuai Zhen et al. Research Square, 2021. Cites: paper

Adaptive Knowledge Driven Regularization for Deep Neural Networks
Zhaojing Luo, Shaofeng Cai, Can Cui et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2021. Cites: paper

A Hierarchical Approach to Multi-Event Survival Analysis
Donna Tjandra, Yifei He, Jenna Wiens. Proceedings of the AAAI Conference on Artificial Intelligence, 2021. Cites: paper

Boosting Multi-task Learning Through Combination of Task Labels - with Applications in ECG Phenotyping
Ming-En Hsieh, Vincent S. M. Tseng. Proceedings of the AAAI Conference on Artificial Intelligence, 2021. Cites: paper

Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning
A. Tuan Nguyen, Hyewon Jeong, Eunho Yang et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2021. Cites: paper

Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series
Yinjun Wu, Jingchao Ni, Wei Dong Cheng et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2021. Cites: paper

Med7: A transferable clinical natural language processing model for electronic health records
Andrey Kormilitzin, Nemanja Vaci, Qiang Liu et al. Artificial Intelligence in Medicine, 2021. Cites: paper

Memory-Gated Recurrent Networks
Yaquan Zhang, Qi Wu, Nanbo Peng et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2021. Cites: paper

MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records
Zhen Xu, David R. So, Andrew M. Dai. Proceedings of the AAAI Conference on Artificial Intelligence, 2021. Cites: paper

Time Series Domain Adaptation via Sparse Associative Structure Alignment
Ruichu Cai, Jiawei Chen, Zijian Li et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2021. Cites: paper

Adversarial balancing-based representation learning for causal effect inference with observational data
Xin Du, Lei Sun, Wouter Duivesteijn et al. Data Mining and Knowledge Discovery, 2021. Cites: paper

Penalized semiparametric Cox regression model on XGBoost and random survival forests
Yating Wang, Jinxia Su, Xuejing Zhao. Communications in Statistics - Simulation and Computation, 2021. Cites: paper

Automated Identification of Patients With Immune-Related Adverse Events From Clinical Notes Using Word Embedding and Machine Learning
Samir Gupta, Anas Belouali, Neil J. Shah et al. JCO Clinical Cancer Informatics, 2021. Cites: paper

Comparing COVID-19 and Influenza Presentation and Trajectory
Anat Reiner Benaim, Jonathan Sobel, Ronit Almog et al. Frontiers in Medicine, 2021. Cites: paper

Differential effects of the blood pressure state on pulse rate variability and heart rate variability in critically ill patients
Elisa Mejía‐Mejía, James Michael May, Mohamed Elgendi et al. npj Digital Medicine, 2021. Cites: paper

Heart Rate Fluctuation and Mortality in Critically Ill Myocardial Infarction Patients: A Retrospective Cohort Study
Qi Guo, Hongwei Li, Huijun Ouyang et al. Frontiers in Cardiovascular Medicine, 2021. Cites: paper

Multitask prediction of organ dysfunction in the intensive care unit using sequential subnetwork routing
Subhrajit Roy, Diana Mincu, Eric Loreaux et al. Journal of the American Medical Informatics Association, 2021. Cites: paper

Prediction of Adverse Drug Reaction using Machine Learning and Deep Learning Based on an Imbalanced Electronic Medical Records Dataset
Yi Zhao, Han Yuan, Ying Wu. International Conference on Medical and Health Informatics (ICMHI), 2021. Cites: paper

Assisted Learning: Cooperative AI with Autonomy
Jiaying Zhou, Xun Xian, Na Li et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2021. Cites: paper

Continuous Cnn For Nonuniform Time Series
Hui Shi, Yang Zhang, Hao Wu et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2021. Cites: paper

Improving clinical outcome predictions using convolution over medical entities with multimodal learning
Batuhan Bardak, Mehmet Tan. Artificial Intelligence in Medicine, 2021. Cites: paper

OASIS +: leveraging machine learning to improve the prognostic accuracy of OASIS severity score for predicting in-hospital mortality
Yasser EL‐Manzalawy, Mostafa M Abbas, Ian Hoaglund et al. BMC Medical Informatics and Decision Making, 2021. Cites: paper

Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation
Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2021. Cites: paper

Early prediction of respiratory failure in the intensive care unit
Matthias Hüser, Martin Faltys, Xinrui Lyu et al. arXiv (Cornell University), 2021. Cites: paper

Inverse reinforcement learning in contextual MDPs
Stav Belogolovsky, Philip Korsunsky, Shie Mannor et al. Machine Learning, 2021. Cites: paper

How machine learning is impacting research in atrial fibrillation: implications for risk prediction and future management
Iván Olier, Sandra Ortega‐Martorell, Mark Pieroni et al. Cardiovascular Research, 2021. Cites: dataset, paper

Predicting in-hospital mortality in ICU patients with sepsis using gradient boosting decision tree
Ke Li, Qinwen Shi, Siru Liu et al. Medicine, 2021. Cites: paper

A novel risk-predicted nomogram for sepsis associated-acute kidney injury among critically ill patients
Shanglin Yang, Tingting Su, Lina Huang et al. BMC Nephrology, 2021. Cites: paper

Long-read sequencing of 3,622 Icelanders provides insight into the role of structural variants in human diseases and other traits
Doruk Beyter, Helga Ingimundardóttir, Ásmundur Oddsson et al. Nature Genetics, 2021. Cites: paper

R2D2: Relational Text Decoding with Transformers
Aryan Arbabi, Mingqiu Wang, Laurent El Shafey et al. arXiv (Cornell University), 2021. Cites: paper

The effect of COVID-19 epidemic on vital signs in hospitalized patients: a pre-post heat-map study from a large teaching hospital
Pier Francesco Caruso, Giovanni Angelotti, Massimiliano Greco et al. Journal of Clinical Monitoring and Computing, 2021. Cites: paper

A similarity matrix based approach for building patient centric social networks
Swarupananda Bissoyi, Manas Ranjan Patra. International Journal of Information Technology, 2021. Cites: paper

A predictive framework in healthcare: Case study on cardiac arrest prediction
Samaneh Layeghian Javan, Mohammad Mehdi Sepehri. Artificial Intelligence in Medicine, 2021. Cites: paper

Machine learning driven tools in orthopaedics and spine surgery: Hype or reality? Applications and perception of 31 physician opinions
Amanda Lans, Jacobien H. F. Oosterhoff, Olivier Quinten Groot et al. Seminars in Spine Surgery, 2021. Cites: paper

MGP-AttTCN: An interpretable machine learning model for the prediction of sepsis
Margherita Rosnati, Vincent Fortuin. PLoS ONE, 2021. Cites: paper

Wearable Physiological Parameters Monitoring Device Based on Blood Pressure Model and Time Domain Analysis of PPG Signal
Shixiao Zhang, Zhiming Zhang, Fengfeng Mo et al. IEEE International Conference on Electronics Technology (ICET), 2021. Cites: paper

Assessing the Impact of Automated Suggestions on Decision Making: Domain Experts Mediate Model Errors but Take Less Initiative
Ariel Levy, Monica Agrawal, Arvind Satyanarayan et al. CHI Conference on Human Factors in Computing Systems, 2021. Cites: paper

Machine learning for large observational datasets in healthcare
Maryan Morel. 2021. Cites: paper

Predicting Intensive Care Unit Length of Stay and Mortality Using Patient Vital Signs: Machine Learning Model Development and Validation
Khalid Alghatani, Nariman Ammar, Abdelmounaam Rezgui et al. JMIR Medical Informatics, 2021. Cites: paper

Prediction of weaning from mechanical ventilation using Convolutional Neural Networks
Yan Jia, Chaitanya Kaul, Tom Lawton et al. Artificial Intelligence in Medicine, 2021. Cites: paper

Prognosis and management of new‐onset atrial fibrillation in critically ill patients
Jun Qian, Lijun Kuang, Fei Chen et al. BMC Cardiovascular Disorders, 2021. Cites: paper

SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations.
Chaoqi Yang, Cao Xiao, Fenglong Ma et al. arXiv (Cornell University), 2021. Cites: paper

Serum phosphate is associated with mortality among patients admitted to ICU for acute pancreatitis
Abdellah Hedjoudje, Jad Farha, Chérifa Cheurfa et al. United European Gastroenterology Journal, 2021. Cites: paper

The association between platelet transfusion and mortality in patients with sepsis-induced thrombocytopenia: a propensity score-matching analysis
Aiming Zhou, Shanshan Wu, Qin Chen et al. Research Square, 2021. Cites: paper

Cited by