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

Fibrinogen-to-Albumin Ratio is Associated with All-Cause Mortality in Cancer Patients
Yanling Wen, H. J. Yang, Xiaoyan Han. International Journal of General Medicine, 2021. Cites: paper

Health Informatics: Clinical Information Systems and Artificial Intelligence to Support Medicine in the CoViD-19 Pandemic
Carlo Combi, Giuseppe Pozzi. IEEE International Conference on Healthcare Informatics (ICHI), 2021. Cites: paper

Identify Diabetic Retinopathy-related Clinical Concepts Using Transformer-based Natural Language Processing Methods
Zehao Yu, Xi Yang, Gianna L Sweeting et al. IEEE International Conference on Healthcare Informatics (ICHI), 2021. Cites: paper

Interpretable Phenotyping for Electronic Health Records
Christine M.B. Allen, Juhua Hu, Vikas Kumar et al. IEEE International Conference on Healthcare Informatics (ICHI), 2021. Cites: paper

MIMIC-SBDH: A Dataset for Social and Behavioral Determinants of Health.
Hiba Ahsan, Emmie Ohnuki, Avijit Mitra et al. PubMed, 2021. Cites: paper

Neural Medication Extraction: A Comparison of Recent Models in Supervised and Semi-supervised Learning Settings
Ali Can Kocabiyikoglu, Jean-Marc Babouchkine, François Portet et al. IEEE International Conference on Healthcare Informatics (ICHI), 2021. Cites: paper

Notable Papers and New Directions in Sensors, Signals, and Imaging Informatics
William W.Y. Hsu, Christian Baumgärtner, Thomas Martin Deserno et al. Yearbook of Medical Informatics, 2021. Cites: paper

On the early detection of Sepsis in MIMIC-III
Manuel Medina, Pietro Sala. IEEE International Conference on Healthcare Informatics (ICHI), 2021. Cites: paper

SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations
Chaoqi Yang, Cao Xiao, Fenglong Ma et al. International Joint Conference on Artificial Intelligence, 2021. Cites: paper

Self-Supervised Adversarial Distribution Regularization for Medication Recommendation
Yanda Wang, Weitong Chen, Dechang Pi et al. International Joint Conference on Artificial Intelligence, 2021. Cites: paper

Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine
Lin Lawrence Guo, Stephen R. Pfohl, Jason Fries et al. Applied Clinical Informatics, 2021. Cites: paper

The Association Between Serum Anion Gap and All-Cause Mortality in Disseminated Intravascular Coagulation Patients: A Retrospective Analysis
Bin Hu, Jinxia Cao, Yangyang Hu et al. International Journal of General Medicine, 2021. Cites: paper

Transformation of Electronic Health Records and Questionnaire Data to OMOP CDM: A Feasibility Study Using SG_T2DM Dataset
Selva Muthu Kumaran Sathappan, Young Seok Jeon, Trung Kien Dang et al. Applied Clinical Informatics, 2021. Cites: paper

The effect of dobutamine vs milrinone in sepsis: A big data, real‐world study
Youfeng Zhu, Haiyan Yin, Rui Zhang et al. International Journal of Clinical Practice, 2021. Cites: paper

COP-E-CAT
Aishwarya Mandyam, Elizabeth C. Yoo, Jeff Soules et al. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), 2021. Cites: paper

DeepNote-GNN
Sara Nouri Golmaei, Xiao Luo. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), 2021. Cites: paper

KGDAL
Lucas J. Liu, Victor Ortiz-Soriano, Javier A. Neyra et al. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), 2021. Cites: paper

Optimal Targets of the First 24-h Partial Pressure of Carbon Dioxide in Patients with Cerebral Injury: Data from the MIMIC-III and IV Database
Gengxin Cai, Xiunong Zhang, Qitian Ou et al. Neurocritical Care, 2021. Cites: paper

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

Privacy preserving neural networks for electronic health records de-identification
Tanbir Ahmed, Md Momin Al Aziz, Noman Mohammed et al. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), 2021. Cites: paper

Towards Predictive Analysis on Disease Progression: A Variational Hawkes Process Model
Zhaohong Sun, Zhoujian Sun, Wei Dong et al. IEEE Journal of Biomedical and Health Informatics, 2021. Cites: paper

Transformer-based named entity recognition for parsing clinical trial eligibility criteria
Shubo Tian, Arslan Erdengasileng, Xi Yang et al. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), 2021. Cites: paper

Unifying Heterogenous Electronic Health Records Systems via Text-Based Code Embedding: Study of Predictive Modeling (Preprint)
Kyunghoon Hur, Jiyoung Lee, Jungwoo Oh et al. 2021. Cites: paper

Dialysis adequacy predictions using a machine learning method
Hyung Woo Kim, Seok‐Jae Heo, Jae Young Kim et al. Scientific Reports, 2021. Cites: paper

Temporal Dependencies in Feature Importance for Time Series Predictions.
Clayton Rooke, Jonathan Smith, Kin Kwan Leung et al. arXiv (Cornell University), 2021. Cites: paper

The Role of Artificial Intelligence and Machine Learning in Clinical Cardiac Electrophysiology
Ben Ng, Sachin Nayyar, Vijay S. Chauhan. Canadian Journal of Cardiology, 2021. Cites: paper

Association between comorbid asthma and prognosis of critically ill patients with severe sepsis: a cohort study
Jinju Huang, Jurong Zhang, Fa-xia Wang et al. Scientific Reports, 2021. Cites: paper

Blood glucose-related indicators are associated with in-hospital mortality in critically ill patients with acute pancreatitis
Yan Lu, Qiaohong Zhang, Jianjie Lou. Scientific Reports, 2021. Cites: paper

Developing a RadLex-Based Named Entity Recognition Tool for Mining Textual Radiology Reports: Development and Performance Evaluation Study
Shintaro Tsuji, Andrew Wen, Naoki Takahashi et al. Journal of Medical Internet Research, 2021. Cites: paper

DynEHR: Dynamic adaptation of models with data heterogeneity in electronic health records
Lida Zhang, Xiaohan Chen, Tianlong Chen et al. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2021. Cites: paper

Interpretability of time-series deep learning models: A study in cardiovascular patients admitted to Intensive care unit
Ilaria Gandin, Arjuna Scagnetto, Simona Romani et al. Journal of Biomedical Informatics, 2021. Cites: paper

Multi-Label Classification of ICD-10 Coding & Clinical Notes Using MIMIC & CodiEsp
Ivan Makohon, Yaohang Li. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2021. Cites: paper

Real-time Mortality Prediction Using MIMIC-IV ICU Data Via Boosted Nonparametric Hazards
Zhale Nowroozilarki, Arash Pakbin, James Royalty et al. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2021. Cites: paper

Simulating Study Design Choice Effects on Observed Performance of Predictive Patient Monitoring Alarm Algorithms
David O. Nahmias, Christopher G. Scully. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2021. Cites: paper

Sparse Gated Mixture-of-Experts to Separate and Interpret Patient Heterogeneity in EHR data
Zepeng Huo, Lida Zhang, Rohan Khera et al. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2021. Cites: paper

Hospital Length of Stay Prediction Methods
Vincent Lequertier, Tao Wang, Julien Fondrevelle et al. Medical Care, 2021. Cites: paper

Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models
Zhiliang Wu, Yinchong Yang, Peter Andreas Fasching et al. arXiv (Cornell University), 2021. Cites: paper

Establishment and validation of the predictive model for the in-hospital death in patients with sepsis
Deyuan Zhi, Meng Zhang, Jin Lin et al. American Journal of Infection Control, 2021. Cites: paper

Clinical Utility of the Automatic Phenotype Annotation in Unstructured Clinical Notes: ICU Use Cases
Zhang, Jingqing, Luis Daniel Bolanos, Ashwani Tanwar et al. arXiv (Cornell University), 2021. Cites: paper

Albumin corrected anion gap for predicting in-hospital mortality among intensive care patients with sepsis: A retrospective propensity score matching analysis
Tianyang Hu, Zhengwei Zhang, Youfan Jiang. Clinica Chimica Acta, 2021. Cites: paper

Generative adversarial networks in time series: A survey and taxonomy
Eoin Brophy, Zhengwei Wang, Qi She et al. arXiv (Cornell University), 2021. Cites: paper

Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series.
Satya Narayan Shukla, Benjamin M. Marlin. arXiv (Cornell University), 2021. Cites: paper

Improving Early Sepsis Prediction with Multi Modal Learning
Fred Qin, Vivek Madan, Ujjwal Ratan et al. arXiv (Cornell University), 2021. Cites: paper

A Weakly-Supervised Named Entity Recognition Machine Learning Approach for Emergency Medical Services Clinical Audit
Han Wang, Wesley Lok Kin Yeung, Qin Xiang Ng et al. International Journal of Environmental Research and Public Health, 2021. Cites: paper

Efficient estimation in a partially specified nonignorable propensity score model
Mengyan Li, Yanyuan Ma B, Jiwei Zhao. Computational Statistics & Data Analysis, 2021. Cites: paper

A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions.
Richard O. Osuala, Kaisar Kushibar, Lidia Garrucho et al. Spiral (Imperial College London), 2021. Cites: paper

Diuretic strategies in patients with resistance to loop-diuretics in the intensive care unit: A retrospective study from the MIMIC-III database
Jean Côté, Josée Bouchard, Patrick T. Murray et al. Journal of Critical Care, 2021. Cites: paper

MIMO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning.
Xueping Peng, Guodong Long, Tao Shen et al. arXiv (Cornell University), 2021. Cites: paper

MSIPA: Multi-Scale Interval Pattern-Aware Network for ICU Transfer Prediction
Wu Lee, Yuliang Shi, Hongfeng Sun et al. ACM Transactions on Knowledge Discovery from Data, 2021. Cites: paper

Clinical Relation Extraction Using Transformer-based Models
Xi Yang, Zehao Yu, Yi Guo et al. arXiv (Cornell University), 2021. Cites: paper

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