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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MLM4SynMed: Masked Language Modelling for Synthetic Free-text Medical Records Generation
Samuel Belkadi, Libo Ren, Nicolo Micheletti et al. IEEE International Conference on Healthcare Informatics (ICHI), 2025. Cites: paper -
Nonlinear relationship between fibrinogen-to-albumin ratio and mortality in critically ill patients with sepsis: a retrospective cohort study
Daishan Jiang, Xiaoyu Yuan, Yanbo Shen et al. Frontiers in Nutrition, 2025. Cites: paper -
Predicting Cardiovascular deterioration in a paediatric intensive care unit (PicEWS): a machine learning modelling study of routinely collected health-care data
Dan F. Stein, Michael James Carter, John Booth et al. EClinicalMedicine, 2025. Cites: paper -
The effect of target transpulmonary driving pressure values on mortality in ARDS patients: A retrospective study based on the MIMIC-IV database
Na Liu, Qi Zhang, Huiyong Wang et al. PLoS ONE, 2025. Cites: paper -
Fast and Scalable Data Transfer Across Data Systems
Haralampos Gavriilidis, Kaustubh Beedkar, Matthias Böehm et al. Proceedings of the ACM on Management of Data, 2025. Cites: paper -
Artificial intelligence models for predicting acute kidney injury in the intensive care unit: a systematic review of modeling methods, data utilization, and clinical applicability
Tongyue Shi, Yu Lin, Huiying Zhao et al. JAMIA Open, 2025. Cites: paper -
A Dual-Focus Cloud–Edge Collaborative Framework in Multitask Hemodynamic Parameter Cross-Scale Analysis: The Equilibrium of Clinical Performance and Efficiency
Jian Liu, Shuaicong Hu, Yanan Wang et al. IEEE Internet of Things Journal, 2025. Cites: paper -
ModiFedCat: A multi-modal distillation based federated catalytic framework
Dongdong Li, Zhenqiang Weng, Zhengji Xuan et al. Information Fusion, 2025. Cites: paper -
Nomogram for predicting the 28-day mortality risk of patients with subendocardial infarction
Menglei Li, Beiping Song, Xianjing Zeng et al. Frontiers in Cardiovascular Medicine, 2025. Cites: paper -
Oncology field diagnosis and treatment report generation
Li Dianzhen, Feng Yao. IEEE International Conference on Pattern Recognition and Machine Learning (PRML), 2025. Cites: paper -
A Comparative Study of Lesion-Centered and Severity-Based Approaches to Diabetic Retinopathy Classification: Improving Interpretability and Performance
Gangmin Park, Ji-Hoon Moon, Ho-Gil Jung. Biomedicines, 2025. Cites: paper -
Artificial Intelligence Workload Allocation Method for Edge-Cloud Computing Environment
Sarah A. Rafea, Ammar Dawood Jasim. International Conference on Electronics Representation and Algorithm (ICERA), 2025. Cites: paper -
Machine Learning-Augmented Triage for Sepsis: Real-Time ICU Mortality Prediction Using SHAP-Explained Meta-Ensemble Models
Hülya Yılmaz Başer, Turan Evran, Mehmet Akif Çifçi. Biomedicines, 2025. Cites: paper -
Mortality risk prediction in emergency department patients: Modeling approaches and performance analysis with gradient boosting
Erkan Boğa. The European Research Journal, 2025. Cites: paper -
Toward Precision Cardiac Healthcare: Deep Learning and IoT Integration for Real-Time Monitoring and Personalized Diagnosis
Gang Feng, Shanmuganathan Manimurugan, Bo Yi et al. IEEE Internet of Things Journal, 2025. Cites: paper -
Enhancing generalization in zero-shot multi-label endoscopic instrument classification
Raphaela Maerkl, Tobias Rueckert, David Rauber et al. International Journal of Computer Assisted Radiology and Surgery, 2025. Cites: paper -
Predicting survival rates of critically ill septic patients with heart failure using interpretable machine learning models
Haiying Yang, Meng-Han Jiang, Fang Yu et al. Technology and Health Care, 2025. Cites: paper -
Elevating Clinical Semantics: Contrastive Pre-Training Beyond Cross-Entropy in Discharge Summaries
Svetlana Kim, Yuchae Jung. Applied Sciences, 2025. Cites: paper -
Multivariate multi-horizon time-series forecasting for real-time patient monitoring based on cascaded fine tuning of attention-based models
Hager Saleh, Shaker El–Sappagh, Michael McCann et al. Computers in Biology and Medicine, 2025. Cites: paper -
PRIME: Pretraining for Patient Condition Representation with Irregular Multimodal Electronic Health Records
Bohao Li, Bowen Du, Junchen Ye. ACM Transactions on Knowledge Discovery from Data, 2025. Cites: paper -
A Hybrid Approach for Irregular-Time Series Prediction Using Electronic Health Records: An Intensive Care Unit Mortality Case Study
Shaojie Zhong, Li Rong Wang, Zhuoxuan Zhan et al. ACM Transactions on Computing for Healthcare, 2025. Cites: paper -
Analyzing the Trade-off Between Fairness and Model Performance in Supervised Learning: A Case Study in the MIMIC dataset
Bruno Pires M. Silva, Lilian Berton. 2025. Cites: paper -
Assessing synthetic data generation utility for cohort data secondary use
Mattia Mazzoli, Janis Nikolaus Elfert, Paolo Sacerdoti et al. medRxiv, 2025. Cites: paper -
Unraveling the interconnectedness: A network-based study of type 2 diabetes and its comorbidities
Tincy A John, Megha Gupta, Alok Srivastava. Computers in Biology and Medicine, 2025. Cites: paper -
Lack of children in public medical imaging data points to growing age bias in biomedical AI
Stanley Bryan Z. Hua, Nicholas E. Heller, Ping He et al. medRxiv, 2025. Cites: paper -
Machine Learning and Artificial Intelligence in Intensive Care Medicine: Critical Recalibrations from Rule-Based Systems to Frontier Models
Pierre Hadweh, Alexandre Niset, Michele Salvagno et al. Journal of Clinical Medicine, 2025. Cites: paper -
An Extraction Tool for Venous Thromboembolism Symptom Identification in Primary Care Notes to Facilitate Electronic Clinical Quality Measure Reporting: Algorithm Development and Validation Study
John Novoa-Laurentiev, Mica Curtin-Bowen, Avery Pullman et al. JMIR Medical Informatics, 2025. Cites: paper -
Artificial intelligence applications in delirium prediction, diagnosis, and management: a systematic review
Sirui Lv, Jianqiang Li, Hang He et al. Artificial Intelligence Review, 2025. Cites: paper -
Empirical Review of LLM-driven Classification of Multidimensional Sleep Health Mentions from Free-Text Clinical Notes
Syed-Amad Hussain, Ariana Calloway, Joseph Sirrianni et al. medRxiv, 2025. Cites: paper -
Medical Knowledge Integration Into Reinforcement Learning Algorithms for Dynamic Treatment Regimes
Sophia Yazzourh, Nicolas Savy, Philippe Saint-Pierre et al. International Statistical Review, 2025. Cites: paper -
Multi-Level Transfer Learning for irregular clinical time series prediction
Xingwang Li, Fei Teng, Minbo Ma et al. Knowledge-Based Systems, 2025. Cites: paper -
VOLEMIA: Non-invasive blood pressure estimation using temporal-spectral convolutional network
Trishna Saikia, Satwik Vankayalapati, Puneet Gupta et al. Digital Signal Processing, 2025. Cites: paper -
Electronic Health Records in Epidemiology: Appropriate Questions, Common Biases, and Potential Sensitivity Analyses
Neal D. Goldstein. Current Epidemiology Reports, 2025. Cites: paper -
GRU-TV: Time- and Velocity-aware Gated Recurrent Unit for patient representation
Ningtao Liu, Shuiping Gou, Ruoxi Gao et al. Journal of Biomedical Informatics, 2025. Cites: paper -
Machine Learning and Deep Learning Models for Early Sepsis Prediction: A Scoping Review
Saumya Rawat, Hemalatha Shanmugam, Lavanya Airen. Indian Journal of Critical Care Medicine, 2025. Cites: paper -
Automated Insomnia Phenotyping from Electronic Health Records: Leveraging Large Language Models to Decode Clinical Narratives
Guillermo López-García, Davy Weissenbacher, Matthew Stadler et al. medRxiv, 2025. Cites: paper -
Explainable machine learning models for mortality prediction in patients with sepsis in tertiary care hospital ICU in low- to middle-income countries
S.G. Diwan, Vinay Gandhi Mukkelli, Esha Baidya Kayal et al. Intensive Care Medicine Experimental, 2025. Cites: paper -
Generating synthetic electronic health record data: a methodological scoping review with benchmarking on phenotype data and open-source software
Xingran Chen, Zhenke Wu, Xu Shi et al. Journal of the American Medical Informatics Association, 2025. Cites: paper -
Light Tree-Based Models for Mortality Prediction of ICU Patients
Mai P. Tran, Quynh Thi Nguyen. International Conference on Smart Computing, IoT and Machine Learning (SIML), 2025. Cites: paper -
SDoH-GPT: using large language models to extract social determinants of health
Bernardo Scapini Consoli, Haoyang Wang, Xizhi Wu et al. Journal of the American Medical Informatics Association, 2025. Cites: paper -
Blockchain-Enhanced Privacy and Security in Electronic Health Records: A Scalable Framework for Decentralised Data Management
Nagaraj Segar, Vijayarajan Vijayan. The Journal of British Blockchain Association, 2025. Cites: paper -
Graph-empowered Text-to-SQL generation on Electronic Medical Records
Qian Chen, Jun Peng, Baiyang Song et al. Pattern Recognition, 2025. Cites: paper -
Leveraging Vision Transformers with Hyperparameter Optimization for the Classification of Acute Respiratory Distress Syndrome
Josefine Busch, Chadi Barakat, T. Pauli et al. International Convention on Information and Communication Technology, Electronics and Microelectronics, 2025. Cites: paper -
Development of an automated natural language text analysis system using transformers
Ihor Pasemko, Yuriy Fedonyuk. Vìsnik Nacìonalʹnogo unìversitetu Lʹvìvsʹka polìtehnìka Serìâ Ìnformacìjnì sistemi ta merežì, 2025. Cites: paper -
Parenclitic network mapping predicts survival in critically ill patients with sepsis
Emily Ito, Tope Oyelade, Matthew Wikner et al. Physiological Reports, 2025. Cites: paper -
A dual medical ontology and relational graph framework with neural ordinary differential equations for diagnostic prediction
Shibo Li, Fanglin Dong, Weihua Li et al. Neurocomputing, 2025. Cites: paper -
Comparative analysis of natural language processing methodologies for classifying computed tomography enterography reports in Crohn’s disease patients
Jiayi Dai, Mi-Young Kim, Reed Taylor Sutton et al. npj Digital Medicine, 2025. Cites: paper -
Dexmedetomidine increases the risk of delirium in critically ill patients: A propensity score analysis
He-Jie Shi, Han-Wei Li, Yi-Fei Lu et al. Medicine, 2025. Cites: paper -
Intelligent Prediction Platform for Sepsis Risk Based on Real-Time Dynamic Temporal Features: Design Study
Mengting Zhang, Ming Zhong, Yunzhang Cheng et al. JMIR Medical Informatics, 2025. Cites: paper -
Synthetic4Health: generating annotated synthetic clinical letters
Libo Ren, Samuel Belkadi, Lifeng Han et al. Frontiers in Digital Health, 2025. Cites: paper
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.