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

AI-oriented Workload Allocation for Cloud-Edge Computing
Tianshu Hao, Jianfeng Zhan, Kai Hwang et al. IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2021. Cites: paper

Effect of spontaneous breathing on ventilator-free days in critically ill patients—an analysis of patients in a large observational cohort
for the PROVE Network investigators, Aline Reis, Thais Dias Midega et al. Annals of Translational Medicine, 2021. Cites: paper

Establishment of a prognostic model based on the Sequential Organ Failure Assessment score for patients with first-time acute myocardial infarction
Shuai Zheng, Jun Lyu, Didi Han et al. Journal of International Medical Research, 2021. Cites: paper

International Normalized Ratio to Albumin Ratio (PTAR): An Objective Risk Stratification Tool in Patients with Sepsis
Shaoxiong Wang, Shuizi Ding, Hong Luo et al. International Journal of General Medicine, 2021. Cites: paper

Lower serum chloride concentrations are associated with increased risk of mortality in critically ill cirrhotic patients: an analysis of the MIMIC-III database
Yun Seong Ji, Libin Li. BMC Gastroenterology, 2021. Cites: paper

Mortality prediction for patients with acute respiratory distress syndrome based on machine learning: a population-based study
Bingsheng Huang, Liang Dong, Rushi Zou et al. Annals of Translational Medicine, 2021. Cites: paper

Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit
Željko Kraljević, Thomas Searle, Anthony Shek et al. Artificial Intelligence in Medicine, 2021. Cites: paper

Personalized functional health and fall risk prediction using electronic health records and in-home sensor data
Anup Kumar Mishra. 2021. Cites: paper

Systemic immune-inflammation index as a promising predictor of mortality in patients with acute coronary syndrome: a real-world study
Gaofan Su, Ying Zhang, Ruyi Xiao et al. Journal of International Medical Research, 2021. Cites: paper

Using of machine learning methods in cardiology
М.А. Фирюлина, Ирина Леонидовна Каширина. Journal of Physics Conference Series, 2021. Cites: paper

Utilizing blockchain technology for clinical trial optimization
Yan Zhuang. 2021. Cites: paper

Enriching data analytics with incremental data cleaning and attribute domain management
Paulo Henrique de Oliveira. 2021. Cites: paper

Fibrinogen Level Predicts Outcomes in Critically Ill Patients with Acute Exacerbation of Chronic Heart Failure
Zhongyuan Meng, Yaxin Zhao, Yan He. Disease Markers, 2021. Cites: paper

Machine learning in clinical decision making
Lorenz Adlung, Yotam Cohen, Uria Mor et al. Med, 2021. Cites: paper

Pharmacokinetic/pharmacodynamic evaluation of tobramycin dosing in critically ill patients: the Hartford nomogram does not fit
Feifan Xie, Yan Wang, Yaru Peng et al. Journal of Antimicrobial Chemotherapy, 2021. Cites: paper

A Study into patient similarity through representation learning from medical records
Hoda Memarzadeh, Nasser Ghadiri, Matthias Samwald A et al. arXiv (Cornell University), 2021. Cites: paper

The critical care data exchange format: a proposed flexible data standard for combining clinical and high-frequency physiologic data in critical care
Philip Laird, Anthony Wertz, Gus Welter et al. Physiological Measurement, 2021. Cites: paper

The quest for better clinical word vectors: Ontology based and lexical vector augmentation versus clinical contextual embeddings
Namrata Nath, Sang‐Heon Lee, Mark D. McDonnell et al. Computers in Biology and Medicine, 2021. Cites: paper

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Michael M. Bronstein, Joan Bruna, Taco Cohen et al. arXiv (Cornell University), 2021. Cites: paper

Nonlinear relationship between blood glucose and 30-day mortality in critical patients with acute kidney injury: A retrospective cohort study
Yang Qi-lin, Weichao Huang, Zeng Xiaomei et al. Journal of Clinical Nephrology, 2021. Cites: paper

Urine Output Calculated Using Actual Body Weight May Result in Overestimation of Acute Kidney Injury for Obese Patients
Jun Jiang, Jing Zhang, Ye Liu et al. Shock, 2021. Cites: paper

A deep-learning model to continuously predict severe acute kidney injury based on urine output changes in critically ill patients
Francesca Alfieri, Andrea Ancona, Giovanni Luigi Tripepi et al. Journal of Nephrology, 2021. Cites: paper

Neural network predicts need for red blood cell transfusion for patients with acute gastrointestinal bleeding admitted to the intensive care unit
Dennis Legen Shung, Jessie Huang, Egbert Castro et al. Scientific Reports, 2021. Cites: paper

Association of prescription opioid use on mortality and hospital length of stay in the intensive care unit
Nicole Hardy, Fatima Zeba, Anaelia Ovalle et al. PLoS ONE, 2021. Cites: paper

Day-to-day progression of vital-sign circadian rhythms in the intensive care unit
Shaun M. Davidson, Mauricio Villarroel, Mirae Harford et al. Critical Care, 2021. Cites: paper

Calibrated Optimal Decision Making with Multiple Data Sources and Limited Outcome
Hengrui Cai, Wenbin Lu, Rui Song. arXiv (Cornell University), 2021. Cites: paper

Deep learning-based photoplethysmography classification for peripheral arterial disease detection: a proof-of-concept study
John Allen, Haipeng Liu, Sadaf Iqbal et al. Physiological Measurement, 2021. Cites: paper

Extracting Adverse Drug Events from Clinical Notes
Darshini Mahendran, Bridget Thomson McInnes. PubMed Central, 2021. Cites: paper

Impact of chronic respiratory diseases on re-intubation rate in critically ill patients: a cohort study
Yanfei Shen, Weizhe Ru, Xinmei Huang et al. Scientific Reports, 2021. Cites: paper

SepINav (Sepsis ICU Navigator): A data-driven software tool for sepsis monitoring and intervention using Bayesian Online Change Point Detection
Nazmus Sakib, Shiyu Tian, Md Munirul Haque et al. SoftwareX, 2021. Cites: paper

Simulation-derived best practices for clustering clinical data
Caitlin E. Coombes, Xin Liu, Zachary B. Abrams et al. Journal of Biomedical Informatics, 2021. Cites: paper

VitalDB: fostering collaboration in anaesthesia research
Simon Tilma Vistisen, Tom Pollard, Johannes Enevoldsen et al. British Journal of Anaesthesia, 2021. Cites: paper

A deep attention model to forecast the Length Of Stay and the in-hospital mortality right on admission from ICD codes and demographic data
Gaspard Harerimana, Jong Wook Kim, Beakcheol Jang. Journal of Biomedical Informatics, 2021. Cites: paper

AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings
Trong Nghia Hoang, Shenda Hong, Cao Xiao et al. International World Wide Web Conference (WWW), 2021. Cites: paper

Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics
Jing Ma, Qiuchen Zhang, Jian Lou et al. International World Wide Web Conference (WWW), 2021. Cites: paper

Comparative Efficacy of Fentanyl and Morphine in Patients with or At Risk for Acute Respiratory Distress Syndrome: A Propensity Score-Matched Cohort Study
Anmin Hu, Zhiming Shan, Zhongjun Zhang et al. Drugs in R&D, 2021. Cites: paper

Decision letter for "A Pilot Study For Fragment Identification Using 2D NMR and Deep Learning"
Publons reviews and discussion, 2021. Cites: paper

Impact of diagnosis code grouping method on clinical prediction model performance: A multi-site retrospective observational study
Aman Kansal, Michael C. Gao, Suresh Balu et al. International Journal of Medical Informatics, 2021. Cites: paper

Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks
Zifeng Wang, Rui Wen, Xi Chen et al. International World Wide Web Conference (WWW), 2021. Cites: paper

Expanding the Reach of Structured EHR Data with Clinical Notes
Seda Bilaloglu, Vincent J. Major, Himanshu Grover et al. Proceedings of the ... International Florida Artificial Intelligence Research Society Conference, 2021. Cites: paper

Physiological machine learning models for prediction of sepsis in hospitalized adults: An integrative review
Sherry L. Kausch, Joseph Randall Moorman, Douglas E. Lake et al. Intensive and Critical Care Nursing, 2021. Cites: paper

Hierarchical Transformer Networks for Longitudinal Clinical Document Classification.
Yuqi Si, Kirk E Roberts. arXiv (Cornell University), 2021. Cites: paper

Development and Validation of a Clinical Prediction Model for Sleep Disorders in the ICU: A Retrospective Cohort Study
Yun Li, Lina Zhao, Chenyi Yang et al. Frontiers in Neuroscience, 2021. Cites: paper

Critical carE Database for Advanced Research (CEDAR): An automated method to support intensive care units with electronic health record data
Edward James Schenck, Katherine L. Hoffman, Marika Mae Cusick et al. Journal of Biomedical Informatics, 2021. Cites: paper

Enhancing Investigative Pattern Detection via Inexact Matching and Graph Databases
Shashika Ranga Muramudalige, Benjamin W. K. Hung, Anura P. Jayasumana et al. IEEE Transactions on Services Computing, 2021. Cites: paper

Machine learning applied to a Cardiac Surgery Recovery Unit and to a Coronary Care Unit for mortality prediction
Beatriz Nistal‐Nuño. Journal of Clinical Monitoring and Computing, 2021. Cites: paper

Review of Temporal Reasoning in the Clinical Domain for Timeline Extraction: Where we are and where we need to be
Amy L. Olex, Bridget Thomson McInnes. Journal of Biomedical Informatics, 2021. Cites: paper

Type 2 Diabetes with Artificial Intelligence Machine Learning: Methods and Evaluation
Leila Ismail, Huned Materwala, Maryam Tayefi et al. Archives of Computational Methods in Engineering, 2021. Cites: paper

Association between red blood cell distribution width and in-hospital mortality in acute myocardial infarction
Sulan Huang, Quan Zhou, Ning Guo et al. Medicine, 2021. Cites: paper

Digital healthcare tools for the world’s poorest people and places: A new framework for syndromic surveillance forged in the fight against COVID-19 in Somalia. (Preprint)
Shrey Jain, Ian M. Furst, Marie‐Laure Charpignon et al. 2021. Cites: paper

Cited by