Publications citing MIMIC-III Waveform Database v1.0

RETRACTED ARTICLE: Prediction of gestational diabetes based on explainable deep learning and fog computing
Nora Mahmoud El-Rashidy, Nesma E. ElSayed, Amir El-Ghamry et al. Soft Computing, 2022. Cites: paper

External validation of the hospital frailty risk score among older adults receiving mechanical ventilation
Eric J. Sy, Sandy Kassir, Jonathan F. Mailman et al. Scientific Reports, 2022. Cites: paper

Application of Machine Learning for Clinical Subphenotype Identification in Sepsis
Chang Hu, Yiming Li, Fengyun Wang et al. Infectious Diseases and Therapy, 2022. Cites: paper

BioGPT: generative pre-trained transformer for biomedical text generation and mining
Renqian Luo, Liai Sun, Yingce Xia et al. Briefings in Bioinformatics, 2022. Cites: paper

An artificial intelligence-based noninvasive solution to estimate pulmonary artery pressure
Jianwei Zheng, Islam Abudayyeh, Georgi Mladenov et al. Frontiers in Cardiovascular Medicine, 2022. Cites: paper

Artificial Intelligence-Based Medical Data Mining
Amjad Zia, Muzzamil Aziz, Ioana Popa et al. Journal of Personalized Medicine, 2022. Cites: paper

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: 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

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