Cited by
MIMIC-III Waveform Database (v1.0)
7936 publications cite any version of this project or its primary paper, newest first.
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Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records
Nenad Tomašev, Natalie Harris, Sebastien Baur et al. Nature Protocols, 2021. Cites: paper -
Biomedical and clinical English model packages for the Stanza Python NLP library
Yuhao Zhang, Yuhui Zhang, Peng Qi et al. Journal of the American Medical Informatics Association, 2021. Cites: paper -
Blind Pareto Fairness and Subgroup Robustness
Natalia Martínez, Martín Bertrán, Afroditi Papadaki et al. UCL Discovery (University College London), 2021. Cites: paper -
Clinically relevant pretraining is all you need
Oliver J. Bear Don’t Walk, Tony Sun, Adler Perotte et al. Journal of the American Medical Informatics Association, 2021. Cites: paper -
Collecting specialty-related medical terms: Development and evaluation of a resource for Spanish
Pilar López Úbeda, Alexandra Pomares, Manuel Carlos Díaz–Galiano et al. BMC Medical Informatics and Decision Making, 2021. Cites: paper -
SoCal: Selective Oracle Questioning for Consistency-based Active Learning of Cardiac Signals
Dani Kiyasseh, Tingting Zhu, David Andrew Clifton. arXiv (Cornell University), 2021. Cites: paper -
Weakly supervised temporal model for prediction of breast cancer distant recurrence
Josh Sanyal, Amara Tariq, Allison W. Kurian et al. Scientific Reports, 2021. Cites: paper -
Generative Time-series Modeling with Fourier Flows
Ahmed M. Alaa, Alex Chan, Mihaela van der Schaar. International Conference on Learning Representations, 2021. Cites: paper -
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
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.