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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Utilizing Machine Learning Models to Predict Acute Kidney Injury in Septic Patients from MIMIC-III Database
Aleyeh Roknaldin, Junyi Fan, Shu‐Heng Chen et al. medRxiv, 2025. Cites: paper -
A Multi-scenario Attention-based Generative Model for Personalized Blood Pressure Time Series Forecasting
Cheng Wan, Chenjie Xie, Longfei Liu et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2025. Cites: paper -
Application of the KA-Transformer model to early sepsis prediction: a hybrid network analysis based on time series data
Yu Zhu, Yunzhang Cheng, Tianyi Zhang et al. Discover Applied Sciences, 2025. Cites: paper -
Assessing Total Hip Arthroplasty Outcomes and Generating an Orthopedic Research Outcome Database via a Natural Language Processing Pipeline: Development and Validation Study
Nicholas H. Mast, Clara L. Oeste, D.F.E. Hens. JMIR Medical Informatics, 2025. Cites: paper -
Harmonizing foundation models in healthcare: A comprehensive survey of their roles, relationships, and impact in artificial intelligence’s advancing terrain
Mohan Timilsina, Samuele Buosi, Muhammad Asif Razzaq et al. Computers in Biology and Medicine, 2025. Cites: paper -
Healthcare Outcome Data Analytics through Electronic Health Records (EHR) and LLMs
Manideep Marripudugala. International Conference on Intelligent Sustainable Systems (ICISS), 2025. Cites: paper -
HiRes: Hierarchical Feature Optimization and Rescorer for Automatic ICD Coding
Z. Liang, Hongjiao Guan, Wenpeng Lü et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2025. Cites: paper -
Large Language Model–Based Critical Care Big Data Deployment and Extraction: Descriptive Analysis
Yang Zhong-bao, Shan-Shan Xu, Xiaozhu Liu et al. JMIR Medical Informatics, 2025. Cites: paper -
Longitudinal Wrist PPG Analysis for Reliable Hypertension Risk Screening Using Deep Learning
Hui Zhi Lin, Jiyang Li, Ramy Hussein et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2025. Cites: paper -
Meta-Conscious Driven Domain-Aware Federated Learning
Zilong Yin, Haoyu Wang, Xiaogang Lin et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2025. Cites: paper -
MSTBI: Head CT Detection and Prognostic Assessment of Traumatic Brain Injury Dataset
Yang Xu, Menghao Fang, Qiuyu Fu et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2025. Cites: paper -
Overcoming Uncertain Incompleteness for Robust Multimodal Sequential Diagnosis Prediction via Curriculum Data Erasing Guided Knowledge Distillation
Heejoon Koo. IEEE International Conference on Acoustics Speech and Signal Processing, 2025. Cites: paper -
Scientific Evidence for Clinical Text Summarization Using Large Language Models: Scoping Review
Lydie Bednarczyk, Daniel Reichenpfader, Christophe Gaudet-Blavignac et al. Journal of Medical Internet Research, 2025. Cites: paper -
Disentangled and reassociated deep representation for dynamic survival analysis with competing risks
Chang Cui, Yongqiang Tang, Wensheng Zhang. Knowledge-Based Systems, 2025. Cites: paper -
Evaluating large language models for predicting psychiatric acute readmissions from clinical notes of population-based EHR
Terne Sasha Thorn Jakobsen, Enric Cristòbal-Cóppulo, Simon Rasmussen et al. medRxiv, 2025. Cites: paper -
Low responsiveness of machine learning models to critical or deteriorating health conditions
Tanmoy Sarkar Pias, Sharmin Afrose, Moon Das Tuli et al. Communications Medicine, 2025. Cites: paper -
Machine Learning in Psychiatric Health Records: A Gold Standard Approach to Trauma Annotation
Bruce Atwood, Eben Holderness, Marc Verhagen et al. medRxiv, 2025. Cites: paper -
Strengthening Discovery and Application of Artificial Intelligence in Anesthesiology: A Report from the Anesthesia Research Council
Hannah Lonsdale, Michael L Burns, Richard H. Epstein et al. Anesthesiology, 2025. Cites: paper -
A systematic review of privacy-preserving techniques for synthetic tabular health data
Tobias Hyrup, Anton D. Lautrup, Arthur Zimek et al. Discover Data, 2025. Cites: paper -
Generative Models in Medical Visual Question Answering: A Survey
Wenjie Dong, Shuhao Shen, Yuqiang Han et al. Applied Sciences, 2025. Cites: paper -
Impact of left ventricular stroke work index on 30-day mortality in sepsis: a retrospective analysis based on the MIMIC-III database
Yuewei Li, Zhaolin Li, Shiyi Bu et al. BMC Infectious Diseases, 2025. Cites: paper -
Leveraging large language models for knowledge-free weak supervision in clinical natural language processing
Enshuo Hsu, Kirk E Roberts. Scientific Reports, 2025. Cites: paper -
Medication recommendation via dual molecular modalities and multi-step enhancement
Shi Mu, Chen Li, Xiang Li et al. Expert Systems with Applications, 2025. Cites: paper -
Hyperbolic vision language representation learning on chest radiology images
Zuojing Zhang, Zhi Qiao, Linbin Han et al. Health Information Science and Systems, 2025. Cites: paper -
Validation of a Practical Method for Estimating Total Glasgow Coma Scale Scores in Intubated Traumatic Brain Injury Patients: A Cohort Study Using the MIMIC ‐ IV Database
Yangchun Zhang, Feng Chen, Na Ma et al. Journal of Clinical Nursing, 2025. Cites: paper -
Integrated Framework for Equitable Healthcare AI: Bias Mitigation, Community Participation, and Regulatory Governance
Joydeep Chandra, Ramanjot Kaur, Rashi Sahay. IEEE International Conference on Communication Systems and Network Technologies (CSNT), 2025. Cites: paper -
Mechanical Power: Using Ideal Body Weight to Identify Injurious Mechanical Ventilation Thresholds
William Michael LeTourneau, Alice Gallo de Moraes. Respiratory Care, 2025. Cites: paper -
Associations between sepsis occurrence, hemoglobin level and mortality in patients with non-trauma hemorrhagic brain injuries: trajectory-based analysis
Xinyuan Ding, Guolong Cai, Shangzhong Chen et al. European journal of medical research, 2025. Cites: paper -
Dynamic Prediction and Intervention of Serum Sodium in Patients with Stroke Based on Attention Mechanism Model
Xiao Lü, Hongli Xu, Wei Dong et al. Journal of Healthcare Informatics Research, 2025. Cites: paper -
Medical foundation large language models for comprehensive text analysis and beyond
Qianqian Xie, Qingyu Chen, Aokun Chen et al. npj Digital Medicine, 2025. Cites: paper -
Context-aware automated ICD coding: A semantic-driven approach
O.K. Reshma, Nabizath Saleena, K. A. Abdul Nazeer. Information Systems, 2025. Cites: paper -
Predicting mortality in heart failure: BUN/creatinine ratio in MIMIC-III
Changsen Zhu, Liyan Wu, Yiyi Xu et al. Frontiers in Cardiovascular Medicine, 2025. Cites: paper -
Association of Oxygenation Targets and Mortality in Critical Care Patients Following Cardiac Surgery: A Retrospective Cohort Study
Zhencong Jiang, Ying Shan, Yanling Wei et al. Journal of Cardiothoracic and Vascular Anesthesia, 2025. Cites: paper -
Enhancing diagnosis prediction with adaptive disease representation learning
Hengliang Cheng, Shibo Li, Tao Shen et al. Artificial Intelligence in Medicine, 2025. Cites: paper -
Evaluating the effectiveness of biomedical fine-tuning for large language models on clinical tasks
Felix J. Dorfner, Amin Dada, Felix Busch et al. Journal of the American Medical Informatics Association, 2025. Cites: paper -
A common longitudinal intensive care unit data format (CLIF) for critical illness research
J.C. Rojas, Patrick G. Lyons, K. Chhikara et al. Intensive Care Medicine, 2025. Cites: paper -
A framework and analytical exploration for a data-driven update of the Sequential Organ Failure Assessment (SOFA) score in sepsis
Drago Plečko, Nicolas Bennett, Ida-Fong Ukor et al. Critical Care and Resuscitation, 2025. Cites: paper -
MLFusion: Multilevel Data Fusion using CNNs for atrial fibrillation detection
Arlene John, Keshab K. Parhi, Barry Cardiff et al. Computers in Biology and Medicine, 2025. Cites: paper -
Aspirin increases the risk of acute kidney injury in critical patients with chest trauma: a retrospective cohort study
Yu Huang, Hongchun Xu, Feng Xiang et al. International Journal of Emergency Medicine, 2025. Cites: paper -
Data transformation of unstructured electroencephalography reports by natural language processing: improving data usability for large-scale epilepsy studies
Yoon Gi Chung, Jaeso Cho, Young Ho Kim et al. Frontiers in Neurology, 2025. Cites: paper -
Generative AI for synthetic data across multiple medical modalities: A systematic review of recent developments and challenges
Mahmoud K. Ibrahim, Yasmina Al Khalil, Sina Amirrajab et al. Computers in Biology and Medicine, 2025. Cites: paper -
PPGAIHI: Efficient Authentication in Healthcare IoT via CNN- and Distance-Based Thresholding
Sunghan Lee, GyeongBong Kim, In Cheol Jeong. IEEE Internet of Things Journal, 2025. Cites: paper -
Temporal Feature Impact Explanation via Dynamic Sliding Window Sampling
Yan Zhou, Xiaodong Li, Kedong Zhu et al. International Conference on Consumer Electronics and Computer Engineering (ICCECE), 2025. Cites: paper -
Explainable AI for Clinical Outcome Prediction: A Survey of Clinician Perceptions and Preferences
Hou, Jun, Lucy Lu Wang. Europe PMC (PubMed Central), 2025. Cites: paper -
A labeled medical records corpus for the timely detection of rare diseases using machine learning approaches
Matias Rolando, Víctor E. Raggio, Hugo Naya et al. Scientific Reports, 2025. Cites: paper -
MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection
Raman Dutt, Ondrej Bohdal, Pedro P. Sanchez et al. IEEE Winter Conference on Applications of Computer Vision, 2025. Cites: paper -
Offline Safe Reinforcement Learning for Sepsis Treatment: Tackling Variable-Length Episodes with Sparse Rewards
Rui Tu, Zhipeng Luo, Chuanliang Pan et al. Human-Centric Intelligent Systems, 2025. Cites: paper -
What is the patient re-identification risk from using de-identified clinical free text data for health research?
Elizabeth M Ford, Simon Pillinger, Robert J. Stewart et al. AI and Ethics, 2025. Cites: paper -
A nomogram to predict congestive heart failure in patients with acute kidney injury: a retrospective study based on the MIMIC-III database
Quankuan Gu, Yucheng Qi, Yaxin Xiong et al. BMC Cardiovascular Disorders, 2025. Cites: paper -
Change trends in serum phosphate levels predict in-hospital mortality in critically ill septic patients
Jun Wang, Xiaohua Song, Shi-Yang Shi et al. Scientific Reports, 2025. Cites: paper
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.