Cited by
MIMIC-III Waveform Database Matched Subset (v1.0)
7929 publications cite any version of this project or its primary paper, newest first.
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Few-Shot Electronic Health Record Coding through Graph Contrastive Learning
Shanshan Wang, Pengjie Ren, Zhumin Chen et al. arXiv (Cornell University), 2021. Cites: paper -
Statin Use Is Associated With Reduced Mortality On Mechanically Ventilated Patients : A Retrospective Propensity-Matched Analysis Of MIMIC-III Database
Daonan Chen, Huifang Zhang, Liu Wang et al. Research Square, 2021. Cites: paper -
Avaliação de desempenho do Hyperledger Fabric com banco de dados para o armazenamento de grandes volumes de dados médicos
Ana Caroline Fernandes Spengler, Paulo Sérgio Lopes de Souza. 2021. Cites: paper -
Improving the In-Hospital Mortality Prediction of Diabetes ICU Patients Using a Process Mining/Deep Learning Architecture
Julian Theis, William Galanter, Andrew Dallas Boyd et al. IEEE Journal of Biomedical and Health Informatics, 2021. Cites: paper -
Platelet-to-Lymphocyte ratio (PLR) is a Novel Independent Risk Factor for Newborn Patients in the Neonatal Intensive Care Unit (NICU)
Yanfei Tang, Yiqun Teng, Lingyan Xu et al. Research Square, 2021. Cites: paper -
Teaching Responsible Machine Learning to Engineers
Hilde Weerts, Mykola Pechenizkiy. TU/e Research Portal, 2021. Cites: paper -
The Predictive Value of the Oxford Acute Disease Severity Score for Clinical Outcomes in Patients with Acute Kidney Injury: A Secondary Analysis of a Large Prospective Observational Study
Na Wang, Meiping Wang, Li Jiang et al. Research Square, 2021. Cites: paper -
Algorithms for Prediction of Clinical Deterioration on the General Wards: A Scoping Review
Roel V. Peelen, Yassin Eddahchouri, Mats Koeneman et al. Journal of Hospital Medicine, 2021. Cites: paper -
Exploratory Analysis of Disease Characteristics and Demographic Data of Neonatal Patients using MIMIC-IV Database
Madhura Devendra Ranade, Anupama Deshpande. International Conference on Communication Information and Computing Technology (ICCICT), 2021. Cites: paper -
Generalization in Clinical Prediction Models: The Blessing and Curse of Measurement Indicator Variables
Joseph Futoma, Morgan G. Simons, Finale Doshi‐Velez et al. Critical Care Explorations, 2021. Cites: paper -
A systematic review of automatic text summarization for biomedical literature and EHRs
Mengqian Wang, Manhua Wang, Fei Yu et al. Journal of the American Medical Informatics Association, 2021. Cites: paper -
Disease Progression Modeling Workbench 360
Parthasarathy Suryanarayanan, Prithwish Chakraborty, Piyush Madan et al. arXiv (Cornell University), 2021. Cites: paper -
Evaluation of leukopenia during sepsis as a marker of sepsis-defining organ dysfunction
Samuel H. Belok, Nicholas A. Bosch, Elizabeth S. Klings et al. PLoS ONE, 2021. Cites: paper -
Pathophysiologic Signature of Impending ICU Hypoglycemia in Bedside Monitoring and Electronic Health Record Data: Model Development and External Validation
William B. Horton, Andrew J. Barros, Robert T. Andris et al. Critical Care Medicine, 2021. Cites: dataset, paper -
A proposal for the supplementation of traditional Postmarket Surveillance systems based on Named Entity Recognition
Gustavo Cunha Garcia, Marcelo Ladeira. Iberian Conference on Information Systems and Technologies (CISTI), 2021. Cites: paper -
Big Data Analysis of Electronic Health Records: Clinically interpretable representations of older adult inpatient trajectories using time-series numerical data and Hidden Markov Models
María Herrero-Zazo, Tomas W. Fitzgerald, Vince Taylor et al. medRxiv, 2021. Cites: paper -
Recognising Biomedical Names: Challenges and Solutions
Xiang Dai. arXiv (Cornell University), 2021. Cites: paper -
FairLens: Auditing black-box clinical decision support systems
Cecilia Panigutti, Alan Perotti, André Panisson et al. Information Processing & Management, 2021. Cites: paper -
REDECA: A Novel Framework to Review Artificial Intelligence and Its Applications in Occupational Safety and Health
Maryam Pishgar, Salah Fuad Issa, Margaret Sietsema et al. International Journal of Environmental Research and Public Health, 2021. Cites: paper -
Patient Embeddings in Healthcare and Insurance Applications.
Pavel Dmitrievich Blinov, Vladimir Kokh. arXiv (Cornell University), 2021. Cites: paper -
Admission Oxygen Saturation and Mortality in Acute Pulmonary Embolism Patients: Observational Data From Large ICU Databases
Xiaolin Xu, Anping Peng, Jing Tian et al. Research Square, 2021. Cites: paper -
Semantic enrichment of data for AI applications
Fatma Özcan, Chuan Lei, Abdul Quamar et al. Workshop on Data Management for End-to-End Machine Learning (DEEM), 2021. Cites: paper -
Semi-supervised Optimal Transport with Self-paced Ensemble for Cross-hospital Sepsis Early Detection.
Ruiqing Ding, Zhou Yu, Jie Xu et al. arXiv (Cornell University), 2021. Cites: paper -
Transgender data collection in the electronic health record: Current concepts and issues
Clair A. Kronk, Avery Rose Everhart, Florence Ashley et al. Journal of the American Medical Informatics Association, 2021. Cites: paper -
Structuring clinical text with AI: Old versus new natural language processing techniques evaluated on eight common cardiovascular diseases
Xianghao Zhan, Marie Humbert‐Droz, Pritam Mukherjee et al. Patterns, 2021. Cites: paper -
A Knowledge Distillation Ensemble Framework for Predicting Short- and Long-Term Hospitalization Outcomes From Electronic Health Records Data
Zina M. Ibrahim, Daniel M. Bean, Thomas Searle et al. IEEE Journal of Biomedical and Health Informatics, 2021. Cites: paper -
Klarigi: Characteristic Explanations for Semantic Data
Luke T. Slater, John Alexander Williams, Paul N. Schofield et al. bioRxiv (Cold Spring Harbor Laboratory), 2021. Cites: paper -
Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks
Byunggill Joe, Akshay Mehra, Insik Shin et al. arXiv (Cornell University), 2021. Cites: paper -
Association of fluid balance with mortality in sepsis is modified by admission hemoglobin levels: A large database study
Sandra M. Y. Tan, Yuan Zhang, Ying Chen et al. PLoS ONE, 2021. Cites: paper -
Editorial: Registries and Population Databases in Clinical Research and Practice
Dinah V. Parums. Medical Science Monitor, 2021. Cites: paper -
Association Between Systemic Corticosteroid Therapy and Mortality in Critically Ill Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease: A Retrospective Cohort Study
Tingyu Pan, Le Bai, Shi Chen et al. Research Square, 2021. Cites: paper -
Early Fresh Frozen Plasma Transfusion: Can It Improve the Outcomes of Patients With Sepsis?
Xiaoyi Qin, Wei Zhang, Xiaodan Zhu et al. Research Square, 2021. Cites: paper -
Predicting ventilator-associated pneumonia with machine learning
Christine Giang, Jacob S. Calvert, Keyvan Rahmani et al. Medicine, 2021. Cites: paper -
Performance of D-dimer for predicting sepsis mortality in the intensive care unit
Yanqiu Han, Lei Zhang, Zhi-De Hu et al. Biochemia Medica, 2021. Cites: paper -
Classification of blood pressure in critically ill patients using photoplethysmography and machine learning
Elisa Mejía‐Mejía, James Michael May, Mohamed Elgendi et al. Computer Methods and Programs in Biomedicine, 2021. Cites: paper -
Explaining Time Series Predictions with Dynamic Masks
Jonathan Crabbé, Mihaela van der Schaar. arXiv (Cornell University), 2021. Cites: paper -
Impact of socio-economic status and race on emergency hospital admission outcomes: Analysis from hospital admissions between 2001 and 2012
Thomas Davidson, Farhaan Mirza, Mirza Mansoor Baig. Health Services Management Research, 2021. Cites: paper -
Medical Entity Disambiguation Using Graph Neural Networks
Alina Vretinaris, Chuan Lei, Vasilis Efthymiou et al. ACM SIGMOD International Conference on Management of Data (SIGMOD), 2021. Cites: paper -
PACE: Learning Effective Task Decomposition for Human-in-the-loop Healthcare Delivery
Kaiping Zheng, Gang Chen, Melanie Herschel et al. ACM SIGMOD International Conference on Management of Data (SIGMOD), 2021. Cites: paper -
Towards an Explainable Model for Sepsis Detection Based on Sensitivity Analysis
Maoxing Chen, Alfredo I. Hernandez. IRBM, 2021. Cites: paper -
Are synthetic clinical notes useful for real natural language processing tasks: A case study on clinical entity recognition
Jianfu Li, Yujia Zhou, Xiaoqian Jiang et al. Journal of the American Medical Informatics Association, 2021. Cites: paper -
Clinical Notes Mining for Post Discharge Mortality Prediction
Vineet Kumar, Rohit Bajpai, Ram Babu Roy. IETE Technical Review, 2021. Cites: paper -
A Machine Learning–Based Algorithm for the Prediction of Intensive Care Unit Delirium (PRIDE): Retrospective Study
Sujeong Hur, Ryoung‐Eun Ko, Junsang Yoo et al. JMIR Medical Informatics, 2021. Cites: paper -
Improving domain adaptation in de-identification of electronic health records through self-training
Shun Liao, Jamie Kiros, Jiyang Chen et al. Journal of the American Medical Informatics Association, 2021. Cites: paper -
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression
Zhaozhi Qian, William R. Zame, Lucas M. Fleuren et al. Pure Amsterdam UMC, 2021. Cites: paper -
Open science saves lives: lessons from the COVID-19 pandemic
Lonni Besançon, Nathan Peiffer‐Smadja, Corentin Ségalas et al. BMC Medical Research Methodology, 2021. Cites: paper -
Real-world Patient Trajectory Prediction from Clinical Notes Using Artificial Neural Networks and UMLS-Based Extraction of Concepts
Jamil Zaghir, Jose Fernando Rodrigues Junior, Lorraine Goeuriot et al. Journal of Healthcare Informatics Research, 2021. Cites: paper -
Analysis of the Impact of Medical Features and Risk Prediction of Acute Kidney Injury for Critical Patients Using Temporal Electronic Health Record Data With Attention-Based Neural Network
Zhimeng Chen, Ming Chen, Xuri Sun et al. Frontiers in Medicine, 2021. Cites: paper -
MT-clinical BERT: scaling clinical information extraction with multitask learning
Andriy Mulyar, Özlem Uzuner, Bridget McInnes. Journal of the American Medical Informatics Association, 2021. Cites: paper -
Estimating the class prior for positive and unlabelled data via logistic regression
Małgorzata Łazȩcka, Jan Mielniczuk, Paweł Teisseyre. Advances in Data Analysis and Classification, 2021. Cites: paper
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.