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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Predicting Abnormalities in Laboratory Values of Patients in the Intensive Care Unit Using Different Deep Learning Models: Comparative Study
Ahmad Ayad, Ahmed Hallawa, Arne Peine et al. JMIR Medical Informatics, 2022. Cites: paper -
OARD: Open annotations for rare diseases and their phenotypes based on real-world data
Cong Liu, Casey Ta, James M. Havrilla et al. The American Journal of Human Genetics, 2022. Cites: paper -
Domain Generalization via Selective Consistency Regularization for Time Series Classification
Wenyu Zhang, Mohamed Ragab, Chuan-Sheng Foo. Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition, 2022. Cites: paper -
Text-guided visual representation learning for medical image retrieval systems
Guillaume Serieys, Camille Kurtz, Laure S Fournier et al. Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition, 2022. Cites: paper -
Association of longitudinal platelet count trajectory with ICU mortality: A multi-cohort study
Jiajin Chen, Xi Gao, Sipeng Shen et al. Frontiers in Immunology, 2022. Cites: paper -
Hierarchical label-wise attention transformer model for explainable ICD coding
Leibo Liu, Oscar Perez‐Concha, Anthony N Nguyen et al. Journal of Biomedical Informatics, 2022. Cites: paper -
A model-based hybrid soft actor-critic deep reinforcement learning algorithm for optimal ventilator settings
Shaotao Chen, Xihe Qiu, Xiaoyu Tan et al. Information Sciences, 2022. Cites: paper -
Gender and ethnicity bias in medicine: a text analysis of 1.8 million critical care records
David M. Markowitz. PNAS Nexus, 2022. Cites: paper -
Real-Time Cuffless Continuous Blood Pressure Estimation Using 1D Squeeze U-Net Model: A Progress toward mHealth
Tasbiraha Athaya, Sunwoong Choi. Biosensors, 2022. Cites: paper -
Timing errors and temporal uncertainty in clinical databases—A narrative review
Andrew J. Goodwin, Danny Eytan, William Dixon et al. Frontiers in Digital Health, 2022. Cites: paper -
Data-Driven Guided Attention for Analysis of Physiological Waveforms With Deep Learning
Jonathan Martinez, Zhale Nowroozilarki, Roozbeh Jafari et al. IEEE Journal of Biomedical and Health Informatics, 2022. Cites: paper -
Inpatient Fall Prediction Models: A Scoping Review
Rex Parsons, Robin D. Blythe, Susanna M. Cramb et al. Gerontology, 2022. Cites: paper -
Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Models
Yanjun Gao, Dmitriy Dligach, Timothy A. Miller et al. PubMed, 2022. Cites: paper -
Tuning a neural information retrieval system in medical domains with limited data: Development Study (Preprint)
Tiancheng Yang, Ilia Sucholutsky, Kuang‐Yu Jen et al. 2022. Cites: paper -
A hybrid machine learning approach for early mortality prediction of ICU patients
Ardeshir Mansouri, Mohammadreza Noei, Mohammad Saniee Abadeh. Progress in Artificial Intelligence, 2022. Cites: paper -
Association of serum total bilirubin and potential predictors with mortality in acute respiratory failure: A retrospective cohort study
Zhishen Ruan, Dan Li, Xianhai Chen et al. Heart & Lung, 2022. Cites: paper -
Computational approaches to alleviate alarm fatigue in intensive care medicine: A systematic literature review
Jonas Chromik, Sophie Anne Inès Klopfenstein, Bjarne Pfitzner et al. Frontiers in Digital Health, 2022. Cites: paper -
Explainable Prediction of Medical Codes through Automated Knowledge Graph Curation Framework
Mutahira Khalid, Hasan Ali Khattak, Arsalan Ahmad et al. International Bhurban Conference on Applied Sciences and Technology (IBCAST), 2022. Cites: paper -
DrNote: An open medical annotation service
Johann Frei, Iñaki Soto‐Rey, Frank Krämer. PLOS Digital Health, 2022. Cites: paper -
Enabling Timely Medical Intervention by Exploring Health-Related Multivariate Time Series with a Hybrid Attentive Model
Jia Xie, Zhu Wang, Zhiwen Yu et al. Sensors, 2022. Cites: paper -
New Frontiers of Natural Language Processing in Surgery
Miranda Xiao Morris, Ethan Y. Song, Aashish Rajesh et al. The American Surgeon, 2022. Cites: paper -
4SDrug: Symptom-based Set-to-set Small and Safe Drug Recommendation
Yanchao Tan, Chengjun Kong, Leisheng Yu et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022. Cites: paper -
Deconfounding Actor-Critic Network with Policy Adaptation for Dynamic Treatment Regimes
Changchang Yin, Ruoqi Liu, Jeffrey M. Caterino et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022. Cites: paper -
Intelligent Optimization Approaches for a Secured Dynamic Partial Reconfigurable Architecture-Based Health Monitoring System
R. Saravana Ram, M. Lordwin Cecil Prabhaker. Journal of Circuits Systems and Computers, 2022. Cites: paper -
Identifying the Perceived Severity of Patient-Generated Telemedical Queries Regarding COVID: Developing and Evaluating a Transfer Learning–Based Solution
Joseph Gatto, Parker Seegmiller, Garrett Johnston et al. JMIR Medical Informatics, 2022. Cites: paper -
Offline reinforcement learning with representations for actions
Xingzhou Lou, Qiyue Yin, Junge Zhang et al. Information Sciences, 2022. Cites: paper -
Standardized Description of the Feature Extraction Process to Transform Raw Data Into Meaningful Information for Enhancing Data Reuse: Consensus Study
Antoine Lamer, Mathilde Fruchart, Nicolás Paris et al. JMIR Medical Informatics, 2022. Cites: paper -
Association of platelet count trajectories with clinical outcomes in patients with sepsis: a retrospective cohort study based on the MIMIC-IV database
Dong Wang, Zepeng Zhu, Xun Lu et al. Research Square, 2022. Cites: paper -
Development and validation of a nomogram to predict the 30-day mortality risk of patients with intracerebral hemorrhage
Jianyu Zou, Huihuang Chen, Cuiqing Liu et al. Frontiers in Neuroscience, 2022. Cites: paper -
Fair Reinforcement Learning for Maternal Sepsis Treatment
Siân Carey, Ciarán D. McInerney, Tom Lawton et al. medRxiv, 2022. Cites: paper -
Interaction of hemoglobin, transfusion, and acute kidney injury in patients undergoing cardiopulmonary bypass: a group-based trajectory analysis
Lingyong Cao, Weizhe Ru, Caibao Hu et al. Renal Failure, 2022. Cites: paper -
A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction
Weimin Lyu, Xinyu Dong, Rachel Wong et al. PubMed, 2022. Cites: paper -
Association Between Wait Time of Central Venous Pressure Measurement and Outcomes in Critical Patients With Acute Kidney Injury: A Retrospective Cohort Study
Qilin Yang, Weixiao Chen, Yichao Wen et al. Frontiers in Public Health, 2022. Cites: paper -
Base excess is associated with the risk of all-cause mortality in critically ill patients with acute myocardial infarction
Chaodi Luo, Zhenzhen Duan, Tingting Zheng et al. Frontiers in Cardiovascular Medicine, 2022. Cites: paper -
Development and validation of a prognostic nomogram among patients with acute exacerbation of chronic obstructive pulmonary disease in intensive care unit
Jiang-Chen Peng, Wen-Wen Gong, Yan Yun Wu et al. BMC Pulmonary Medicine, 2022. Cites: paper -
The Application of Machine Learning in Predicting Mortality Risk in Patients With Severe Femoral Neck Fractures: Prediction Model Development Study
Lingxiao Xu, Jun Liu, Chunxia Han et al. JMIR Bioinformatics and Biotechnology, 2022. Cites: paper -
Performance of existing clinical scores and laboratory tests for the diagnosis of invasive candidiasis in critically ill, nonneutropenic, adult patients: A systematic review with qualitative evidence synthesis
Daniele Roberto Giacobbe, Erika Asperges, Andrea Cortegiani et al. Mycoses, 2022. Cites: paper -
Prediction of All-cause Mortality with Sepsis-associated Encephalopathy in the ICU Based on Interpretable Machine Learning
Lu Xiao, Jiang Zhu, Jiahui Gui et al. IEEE International Conference on Mechatronics and Automation (ICMA), 2022. Cites: paper -
Comparison of pulse rate variability and morphological features of photoplethysmograms in estimation of blood pressure
Elisa Mejía‐Mejía, Karthik Budidha, P. A. Kyriacou et al. Biomedical Signal Processing and Control, 2022. Cites: paper -
Development and usage of an anesthesia data warehouse: lessons learnt from a 10-year project
Antoine Lamer, Mouhamed Djahoum Moussa, Romaric Marcilly et al. Journal of Clinical Monitoring and Computing, 2022. Cites: paper -
Time-varying intensity of oxygen exposure is associated with mortality in critically ill patients with mechanical ventilation
Zhu Zhu, Mingqin Zhou, Yao Wei et al. Critical Care, 2022. Cites: paper -
A comparison of statistical methods for modeling count data with an application to hospital length of stay
Gustavo A. Fernandez, Kristina P. Vatcheva. BMC Medical Research Methodology, 2022. Cites: paper -
A Computational Modeling and Simulation Workflow to Investigate the Impact of Patient-Specific and Device Factors on Hemodynamic Measurements from Non-Invasive Photoplethysmography
Jesse N. Fine, Michael J. McShane, Gerard L. Coté et al. Biosensors, 2022. Cites: dataset, paper -
One-Class Machine-Learning Model to Screen for Dysglycemia Using Single Lead ECG in ICU, toward Noninvasive Blood Glucose Monitoring
I-Min Chiu, Chi-Yung Cheng, Po-Kai Chang et al. Preprints.org, 2022. Cites: paper -
A scoping review of publicly available language tasks in clinical natural language processing
Yanjun Gao, Dmitriy Dligach, Leslie Christensen et al. Journal of the American Medical Informatics Association, 2022. Cites: paper -
Evaluating Prognostic Bias of Critical Illness Severity Scores Based on Age, Gender, and Primary Language in the USA: A Retrospective Multicenter Study
Xiaoli Liu, Max Shen, Margaret Lie et al. medRxiv, 2022. Cites: paper -
In with the old, in with the new: machine learning for time to event biomedical research
Ioana Danciu, Greeshma A. Agasthya, Janet P. Tate et al. Journal of the American Medical Informatics Association, 2022. Cites: paper -
Machine learning models for predicting acute kidney injury: a systematic review and critical appraisal
Iacopo Vagliano, Nicholas C Chesnaye, Jan Hendrik Leopold et al. Clinical Kidney Journal, 2022. Cites: paper -
Fine-Grained ICD Code Assignment Using Ontology-Based Classification
Joshua Carberry, Haiping Xu. IEEE International Conference on Information Reuse and Integration (IRI), 2022. Cites: paper -
GAN-based Differential Privacy Trajectory Data Publishing with Sensitive Label
Lin Yao, Yu Zhang, Zhaolong Zheng et al. International Conference on Big Data Computing and Communications (BigCom), 2022. Cites: paper
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.