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

Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis
Zhixuan Zeng, Shuo Yao, Jianfei Zheng et al. BioData Mining, 2021. Cites: paper

The role of machine learning in clinical research: transforming the future of evidence generation
Elizabeth Hope Weissler, Tristan Naumann, Tomas Andersson et al. Trials, 2021. Cites: paper

Кластеризация состояний пациентов для модели назначения схем лечения атеросклероза
M V Demchenko, Ирина Леонидовна Каширина, М.А. Фирюлина. Вестник ВГУ Серия Системный анализ и информационные технологии, 2021. Cites: paper

AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units
Yılmazcan Özyurt, Mathias Kraus, Tobias Hatt et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021. Cites: paper

Machine Learning Classifier Models Can Identify Delirium in Intensive Care Units
Anmin Hu, Huiping Li, Zhen Li et al. Research Square, 2021. Cites: paper

The Relationship Between Triglycerides, High-Density Lipoprotein, Triglyceride/High-Density Lipoprotein, and Hospital Death in Patients with Sepsis: A Retrospective Cohort Study
Rongpeng Gong, Yu Tian, Tianyang Hu et al. Research Square, 2021. Cites: paper

AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing
Katikapalli Subramanyam Kalyan, Ajit Rajasekharan, S. Sangeetha. arXiv (Cornell University), 2021. Cites: paper

Assessment of a Modified Sandwich Estimator for Generalized Estimating Equations with Application to Opioid Poisoning in MIMIC-IV ICU Patients
Paul B. Rogers, Julie Ann Stoner. Stats, 2021. Cites: paper

Association of Post-operative Systolic Blood Pressure Variability With Mortality After Coronary Artery Bypass Grafting
Zhuoming Zhou, Jiantao Chen, Guangguo Fu et al. Frontiers in Cardiovascular Medicine, 2021. Cites: paper

Hypophosphataemia is common in patients with aneurysmal subarachnoid haemorrhage
Mai Erritzøe‐Jervild, Jesper Wesierski, Stefano Romano et al. Acta Anaesthesiologica Scandinavica, 2021. Cites: paper

MEDTO: Medical Data to Ontology Matching Using Hybrid Graph Neural Networks
Junheng Hao, Chuan Lei, Vasilis Efthymiou et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021. Cites: paper

New Diagnostic Parameter for Neonatal Sepsis: Red Cell Distribution Width Fluctuations
Bin-Fang Guo, Yu‐Chun Wang, Pingping Xu. Research Square, 2021. Cites: paper

Probabilistic and Dynamic Molecule-Disease Interaction Modeling for Drug Discovery
Tianfan Fu, Cao Xiao, Cheng Qian et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021. Cites: paper

TimeSHAP: Explaining Recurrent Models through Sequence Perturbations
João Bento, Pedro Saleiro, André F. Cruz et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021. Cites: paper

Data mining in clinical big data: the frequently used databases, steps, and methodological models
Wentao Wu, Yuan-Jie Li, Aozi Feng et al. Military Medical Research, 2021. Cites: paper

Early-Phase Urine Output and Severe-Stage Progression of Oliguric Acute Kidney Injury in Critical Care
Haoquan Huang, Xiaohui Bai, Fengtao Ji et al. Frontiers in Medicine, 2021. Cites: paper

Finding Potential Adverse Events in the Unstructured Text of Electronic Health Care Records: Development of the Shakespeare Method
Roselie A. Bright, Summer K. Rankin, Katherine Dowdy et al. JMIRx Med, 2021. Cites: paper

Temporal Minimal-World Query Answering over Sparse ABoxes
Stefan Borgwardt, Walter Forkel, Alisa Kovtunova. Theory and Practice of Logic Programming, 2021. Cites: paper

A New Time-Window Prediction Model For Traumatic Hemorrhagic Shock Based on Interpretable Machine Learning
Yuzhuo Zhao, Lijing Jia, Ruiqi Jia et al. Shock, 2021. Cites: paper

A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models
Zehao Yu, Xi Yang, Chong Dang et al. PubMed Central, 2021. Cites: paper

Atrial Fibrillation Prediction from Critically Ill Sepsis Patients
Syed Khairul Bashar, Eric Ding, Allan J. Walkey et al. Biosensors, 2021. Cites: dataset, paper

Deep dynamic imputation of clinical time series for mortality prediction
Zhenkun Shi, Sen Wang, Lin Yue et al. Information Sciences, 2021. Cites: paper

Universal transformer Hawkes process with adaptive recursive iteration
Lu-ning Zhang, Jian–wei Liu, Zhi-yan Song et al. Engineering Applications of Artificial Intelligence, 2021. Cites: paper

Medical Data Mining Course Development in Postgraduate Medical Education: Web-Based Survey and Case Study
Lin Yang, Si Zheng, Xiaowei Xu et al. JMIR Medical Education, 2021. Cites: paper

Improvement of APACHE II score system for disease severity based on XGBoost algorithm
Yan Luo, Zhiyu Wang, Cong Wang. BMC Medical Informatics and Decision Making, 2021. Cites: paper

Pattern Recognition in Vital Signs Using Spectrograms
Sidharth Srivatsav Sribhashyam, Md Sirajus Salekin, Dmitry B. Goldgof et al. arXiv (Cornell University), 2021. Cites: paper

Learning Your Heart Actions From Pulse: ECG Waveform Reconstruction From PPG
Qiang Zhu, Xin Tian, Chau-Wai Wong et al. IEEE Internet of Things Journal, 2021. Cites: paper

VBridge: Connecting the Dots Between Features, Explanations, and Data for Healthcare Models.
Furui Cheng, Dongyu Liu, Fan Du et al. arXiv (Cornell University), 2021. Cites: paper

Imputation of the continuous arterial line blood pressure waveform from non-invasive measurements using deep learning
Brian L. Hill, Nadav Rakocz, Ákos Rudas et al. Scientific Reports, 2021. Cites: paper

Landscape of biomedical informatics standards and terminologies for clinical sleep medicine research: A systematic review
Diego R. Mazzotti. Sleep Medicine Reviews, 2021. Cites: paper

Restricted sub‐tree learning to estimate an optimal dynamic treatment regime using observational data
Kelly A. Speth, Lu Wang. Statistics in Medicine, 2021. Cites: paper

A Machine Learning Sepsis Prediction Algorithm for Intended Intensive Care Unit Use (NAVOY Sepsis): Proof-of-Concept Study
Inger Persson, Andreas Östling, Martin Arlbrandt et al. JMIR Formative Research, 2021. Cites: paper

A novel solution of using deep learning for early prediction cardiac arrest in Sepsis patient: enhanced bidirectional long short-term memory (LSTM)
Samit Baral, Abeer Alsadoon, P. W. C. Prasad et al. Multimedia Tools and Applications, 2021. Cites: paper

A Review of Recent Work in Transfer Learning and Domain Adaptation for Natural Language Processing of Electronic Health Records
Egoitz Laparra, Aurelie Mascio, Sumithra U. Velupillai et al. Yearbook of Medical Informatics, 2021. Cites: paper

Association Between Anion Gap and Mortality in Critically Ill Patients with Cardiogenic Shock
Tingting Zhang, Jie Wang, Xiangyang Li. International Journal of General Medicine, 2021. Cites: paper

Association between body mass index and short-term mortality in patients with intra-abdominal infections: a retrospective, single-centre cohort study using the Medical Information Mart for Intensive Care database
Qinglin Li, Yingmu Tong, Sinan Liu et al. BMJ Open, 2021. Cites: paper

Association Between Obstructive Sleep Apnea and Reduced Mortality in Critically Ill Patients: A Propensity Score-Based Analysis
Ping Lin, Xiaoqian Li, Jiarui Zhang et al. International Journal of General Medicine, 2021. Cites: paper

Association Between the Admission Serum Bicarbonate and Short-Term and Long-Term Mortality in Acute Aortic Dissection Patients Admitted to the Intensive Care Unit
Liao Tan, Qian Ya Xu, Chan Li et al. International Journal of General Medicine, 2021. Cites: paper

Association Between the Neutrophil Percentage-to-Albumin Ratio and Outcomes in Cardiac Intensive Care Unit Patients
Xue Wang, Jie Wang, Shujie Wu et al. International Journal of General Medicine, 2021. Cites: paper

Atrial fibrillation increases inpatient and 4-year all-cause mortality in critically ill patients with liver cirrhosis
Yanting Luo, Bingyuan Wu, Yuankai Wu et al. Annals of Translational Medicine, 2021. Cites: paper

Automatic Assignment of ICD-10 Codes to Diagnostic Texts using Transformers Based Techniques
Mihai Horia Popescu, Kevin Roitero, Stefano Travasci et al. IEEE International Conference on Healthcare Informatics (ICHI), 2021. Cites: paper

CATAN: Chart-aware temporal attention network for adverse outcome prediction
Zelalem Gero, Joyce C. Ho. IEEE International Conference on Healthcare Informatics (ICHI), 2021. Cites: paper

Change Matters: Medication Change Prediction with Recurrent Residual Networks
Chaoqi Yang, Cao Xiao, Lucas M. Glass et al. International Joint Conference on Artificial Intelligence, 2021. Cites: paper

Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare
Chang Hua Lu, Chandan K. A. Reddy, Prithwish Chakraborty et al. International Joint Conference on Artificial Intelligence, 2021. Cites: paper

Comparison of machine learning algorithms for mortality prediction in intensive care patients on multi-center critical care databases
Thanakron Na Pattalung, Sitthichok Chaichulee. IOP Conference Series Materials Science and Engineering, 2021. Cites: paper

Contrastive Representations Pre-Training for Enhanced Discharge Summary BERT
Dae-Yeon Won, Youngjun Lee, Ho‐Jin Choi et al. IEEE International Conference on Healthcare Informatics (ICHI), 2021. Cites: paper

Cooperative Joint Attentive Network for Patient Outcome Prediction on Irregular Multi-Rate Multivariate Health Data
Qingxiong Tan, Mang Ye, Grace Lai‐Hung Wong et al. International Joint Conference on Artificial Intelligence, 2021. Cites: paper

Development and Validation of Nomogram to Predict Long-Term Prognosis of Critically Ill Patients with Acute Myocardial Infarction
Yiyang Tang, Qin Chen, Lihuang Zha et al. International Journal of General Medicine, 2021. Cites: paper

Examining the Concordance in the Documented Pressure Injury Site, Stage, and Count in Medical Information Mart for Intensive Care-III
Wenhui Zhang, Mani Sotoodeh, Joyce C. Ho et al. Applied Clinical Informatics, 2021. Cites: paper

Explainable Deep Learning for Readmission Prediction with Tree-GloVe Embedding
Jialiang Jiang, Sharon J. Hewner, Varun Chandola. IEEE International Conference on Healthcare Informatics (ICHI), 2021. Cites: paper

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