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

The presence of a circadian rhythm in pulse arrival time and its application for classifying blood pressure night-time dip
Eoin Finnegan, Shaun M. Davidson, Mirae Harford et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021. Cites: paper

Unsupervised learning approach for predicting sepsis onset in ICU patients
Guilherme Ramos, Erida Gjini, Luis Coelho et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2021. Cites: paper

Does the magic of BERT apply to medical code assignment? A quantitative study
Shaoxiong Ji, Matti Hölttä, Pekka Marttinen. Computers in Biology and Medicine, 2021. Cites: paper

ProAID: path-based reasoning for self-attentional disease prediction
Xudong Lü, Lizhen Cui, Zhenchao Sun et al. Knowledge and Information Systems, 2021. Cites: paper

Explainable ICD multi-label classification of EHRs in Spanish with convolutional attention
Owen Trigueros, Alberto Blanco, Nuria Lebeña et al. International Journal of Medical Informatics, 2021. Cites: paper

Incidence, prognosis, and risk factors of sepsis-induced cardiomyopathy
Yanwen Liang, Youfeng Zhu, Rui Zhang et al. World Journal of Clinical Cases, 2021. Cites: paper

Admission Blood Glucose Is Associated With the 30-Days Mortality in Septic Patients: A Retrospective Cohort Study
Xiaoyuan Wei, Yu Min, Jiang-Chuan Yu et al. Frontiers in Medicine, 2021. Cites: paper

Elevated Lactate Dehydrogenase Levels Display a Poor Prognostic Factor for Non-Hodgkin’s Lymphoma in Intensive Care Unit: An Analysis of the MIMIC-III Database Combined With External Validation
Jiaqian Qi, Chengyuan Gu, Weijuan Wang et al. Frontiers in Oncology, 2021. Cites: paper

Extracting Clinician's Goals by What-if Interpretable Modeling.
Chun‐Hao Chang, George-Alexandru Adam, Rich Caruana et al. arXiv (Cornell University), 2021. Cites: paper

Machine Learning Prediction Models for Mortality in Intensive Care Unit Patients with Lactic Acidosis
Pattharawin Pattharanitima, Charat Thongprayoon, Wisit Kaewput et al. Journal of Clinical Medicine, 2021. Cites: paper

Multi-Task Processes
Donggyun Kim, Seongwoong Cho, Wonkwang Lee et al. arXiv (Cornell University), 2021. Cites: paper

A BERT-Based Generation Model to Transform Medical Texts to SQL Queries for Electronic Medical Records: Model Development and Validation
Youcheng Pan, Chenghao Wang, Baotian Hu et al. JMIR Medical Informatics, 2021. Cites: paper

A Deep Language Model for Symptom Extraction From Clinical Text and its Application to Extract COVID-19 Symptoms From Social Media
Xiao Luo, Priyanka Gandhi, Susan Storey et al. IEEE Journal of Biomedical and Health Informatics, 2021. Cites: paper

Using Explainable Machine Learning to Improve Intensive Care Unit Alarm Systems
José A. González‐Nóvoa, Laura Busto, Juan Jose Rodriguez-Andina et al. Sensors, 2021. Cites: paper

Integrating Static and Time-Series Data in Deep Recurrent Models for Oncology Early Warning Systems
Dingwen Li, Patrick G. Lyons, Jeff Klaus et al. ACM International Conference on Information and Knowledge Management (CIKM), 2021. Cites: paper

Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation
Yanda Wang, Weitong Chen, Dechang Pi et al. ACM International Conference on Information and Knowledge Management (CIKM), 2021. Cites: paper

Representation Learning via Variational Bayesian Networks
Oren Barkan, Avi Caciularu, Idan Rejwan et al. ACM International Conference on Information and Knowledge Management (CIKM), 2021. Cites: paper

Stress ulcer prophylaxis in critically ill adult patients with sepsis at risk of gastrointestinal bleeding: a retrospective cohort study
Minqiang Huang, Ming Han, Zhi Fang Song et al. Internal Medicine Journal, 2021. Cites: paper

A novel artificial intelligence based intensive care unit monitoring system: using physiological waveforms to identify sepsis
Maximiliano Mollura, Li-wei H. Lehman, Roger G. Mark et al. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, 2021. Cites: paper

Diagnostic Challenges in Sepsis
Chris F. Duncan, Taryn Youngstein, Marianne Kirrane et al. Current Infectious Disease Reports, 2021. Cites: paper

Estimating redundancy in clinical text
Thomas Searle, Zina M. Ibrahim, James Teo et al. Journal of Biomedical Informatics, 2021. Cites: paper

Evaluating the state of the art in missing data imputation for clinical data
Yuan Luo. Briefings in Bioinformatics, 2021. Cites: paper

Novel Prognostic Predictor for Primary Pulmonary Hypertension: Focus on Blood Urea Nitrogen
Bo Hu, Guangtao Xu, Xin Jin et al. Frontiers in Cardiovascular Medicine, 2021. Cites: paper

Sentiment Analysis for Necessary Preview of 30-Day Mortality in Sepsis Patients and the Control Strategies
Yanqun Zou, Jian Wang, Zheng Lei et al. Journal of Healthcare Engineering, 2021. Cites: paper

Health status classification model for medical adherence system in retirement township
Abubaker Sherif, Wooi-Haw Tan, Chee‐Pun Ooi et al. F1000Research, 2021. Cites: paper

Feature-Based Interpretable Reinforcement Learning based on State-Transition Models
Omid Davoodi, Majid Komeili. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics, 2021. Cites: paper

Pattern Recognition in Vital Signs Using Spectrograms
Sidharth Srivatsav Sribhashyam, Md Sirajus Salekin, Dmitry B. Goldgof et al. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics, 2021. Cites: paper

Association Between Serum Osmolality and Acute Kidney Injury in Critically Ill Patients: A Retrospective Cohort Study
Jie Yang, Yisong Cheng, Ruoran Wang et al. Frontiers in Medicine, 2021. Cites: paper

Clinical Value of the Lactate/Albumin Ratio and Lactate/Albumin Ratio × Age Score in the Assessment of Prognosis in Patients With Sepsis
Xiaonan Chen, Xinjian Zhou, Hui Zhao et al. Frontiers in Medicine, 2021. Cites: paper

Differentially Private Medical Texts Generation Using Generative Neural Networks
Md Momin Al Aziz, Tanbir Ahmed, Tasnia Faequa et al. ACM Transactions on Computing for Healthcare, 2021. Cites: paper

Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing
裕二池谷, Robert Tinn, Hao Cheng et al. ACM Transactions on Computing for Healthcare, 2021. Cites: paper

Examination of Electrolyte Replacements in the ICU Utilizing MIMIC-III Dataset Demonstrates Redundant Replacement Patterns
Mousa Ghannam, Parasteh Malihi, Krzysztof Laudański. Healthcare, 2021. Cites: paper

MIMICause : Defining, identifying and predicting types of causal relationships between biomedical concepts from clinical notes.
Vivek Khetan, Md Imbesat Hassan Rizvi, Jessica E. Huber et al. arXiv (Cornell University), 2021. Cites: paper

A Retrospective Cohort Study on the Association between Red Cell Distribution Width and All-Cause Mortality of Patients with Cholecystitis at ICU Admission
Yihua Dong, Yu Pan, Wei Zhou et al. Disease Markers, 2021. Cites: paper

Predictive Value of Lymphocyte-to-Monocyte Ratio in Patients with Atrial Fibrillation: A Propensity Score Matching Analysis
Yue Yu, Suyu Wang, Pei Wang et al. Research Square, 2021. Cites: paper

Sentiment Analysis Based on the Nursing Notes on In-Hospital 28-Day Mortality of Sepsis Patients Utilizing the MIMIC-III Database
Qiaoyan Gao, Dandan Wang, Pingping Sun et al. Computational and Mathematical Methods in Medicine, 2021. Cites: paper

Using Clinical Drug Representations for Improving Mortality and Length of Stay Predictions
Batuhan Bardak, Mehmet Tan. IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2021. Cites: paper

Machine learning for early discrimination between transient and persistent acute kidney injury in critically ill patients with sepsis
Xiao-Qin Luo, Ping Yan, Ning-Ya Zhang et al. Scientific Reports, 2021. Cites: paper

Ontology-Based Reasoning for Educational Assistance in Noncommunicable Chronic Diseases
Andrêsa Vargas Larentis, Eduardo Gonçalves de Azevedo Neto, Jorge Luís Victória Barbosa et al. Computers, 2021. Cites: paper

A Novel Nomogram for Predicting Survival in Patients with Severe Acute Pancreatitis: An Analysis Based on the Large MIMIC-III Clinical Database
Didi Han, Fengshuo Xu, Chengzhuo Li et al. Emergency Medicine International, 2021. Cites: paper

Datenreiche Medizin und das Problem der Einwilligung
Gesine Richter, Wulf Loh, Alena Buyx et al. Springer eBooks, 2021. Cites: paper

Die ethische Aufsicht über die Datenwissenschaft im Gesundheitswesen
Stuart McLennan. Springer eBooks, 2021. Cites: paper

Machine Learning, Clinical Notes and Knowledge Graphs for Early Prediction of Acute Kidney Injury in the Intensive Care
Martijn C. Schut, Wei-Hsiang Hsu, Iacopo Vagliano. OSF Preprints (OSF Preprints), 2021. Cites: paper

Pre-trained Language Models in Biomedical Domain: A Systematic Survey
Benyou Wang, Qianqian Xie, Jiahuan Pei et al. arXiv (Cornell University), 2021. Cites: paper

Sepsis prediction, early detection, and identification using clinical text for machine learning: a systematic review
Melissa Y. Yan, Lise Tuset Gustad, Øystein Nytrø A. Journal of the American Medical Informatics Association, 2021. Cites: paper

Self-explaining Neural Network with Plausible Explanations.
Sayantan Kumar, Sean Yu, Andrew P. Michelson et al. arXiv (Cornell University), 2021. Cites: paper

ConflictClassifier: An Interpretable Pipeline to Identify Contradictions in Clinical Notes
Sharon Jiang. IEEE MIT Undergraduate Research Technology Conference (URTC), 2021. Cites: paper

Developing clinical prediction models when adhering to minimum sample size recommendations: The importance of quantifying bootstrap variability in tuning parameters and predictive performance
Glen Philip Martin, Richard D Riley, Professor Gary S. Collins et al. Statistical Methods in Medical Research, 2021. Cites: paper

Medical Dead-ends and Learning to Identify High-risk States and Treatments
Mehdi Fatemi, Taylor W. Killian, Jayakumar Subramanian et al. arXiv (Cornell University), 2021. Cites: paper

Digital signatures for early traumatic brain injury outcome prediction in the intensive care unit
Anil K. Palepu, Aditya Murali, Jenna L. Ballard et al. Scientific Reports, 2021. Cites: paper

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