Publications citing MIMIC-III Clinical Database Demo v1.4

Improving ICU Mortality Prediction via Meta-Learning and Explainable AI: A MetaCost and LIME Approach
F.I. Kaya. Karadeniz Fen Bilimleri Dergisi, 2026. Cites: paper

Integration of the A7-HBM-ΩΦ Model with the Pellis Golden Biomedical Function (PGFF): Experimental Validation Using Seven Independent Datasets Including Simultaneous EEG-ECG Recordings from Healthy, Epileptic, and Cardiac Patients
Yazeed Mohammed Al-Olofi. Research Square, 2026. Cites: paper

RuralFed: Lightweight Federated Learning for Privacy-Preserving Healthcare AI in Rural Hospitals
Parthiv Gopa, T Grace Shalini, Mahendrakar Ashok Vaishnavi et al. International Conference on Visual Analytics and Data Visualization (ICVADV), 2026. Cites: paper

MERAC: Multimodal fusion of ECG and clinical report with local–global encoding for arrhythmia classification
Yunjie Jiang, Nan Wang, Qin Guo et al. Computational Biology and Chemistry, 2026. Cites: paper

Secondary use of health data: applications, models, algorithms, and ethical considerations
Mahmoud Soliman, Omar Abdelziz, Ahmed A. Radwan et al. AI and Ethics, 2026. Cites: paper

Large language models in radiogenomics: a comprehensive survey of applications from imaging to genetics
Muhammad Nadeem Cheema, Anam Nazir, Arif O. Harmanci et al. The Visual Computer, 2026. Cites: paper

Prognostic value of a mortality risk nomogram model for sepsis combined with COPD patients based on the MIMIC-III database
Fenmei Shi, Xuelian Huang, Jun Peng et al. Internal and Emergency Medicine, 2026. Cites: paper

Association between serum bicarbonate and 30-day mortality in critically Ill patients with influenza: A retrospective cohort study from MIMIC-IV database
Yingxiu Huang, Ting Ao, Ming Hu et al. Medicine, 2026. Cites: paper

Blockchain-driven vocational higher education framework for industry-academia-research collaboration within digital public health context
Hu Nan, Zheng Bing. Frontiers in Public Health, 2026. Cites: paper

Blood pressure estimation using single photoplethysmography signal based on ResNet-BiGRU
Gongwei Fan, Yuhao Pang, Wei Zheng et al. Biomedizinische Technik/Biomedical Engineering, 2026. Cites: paper

Fine-tuning foundational models to code diagnoses from veterinary health records
Mayla R. Boguslav, Adam Kiehl, David Kott et al. PLOS Digital Health, 2026. Cites: paper

Identifying pertinent cohorts and addressing imbalance for robust intensive care survival analysis
Awais Ahmed, Xiaoyang Zeng, Rui Xi et al. Engineering Applications of Artificial Intelligence, 2026. Cites: paper

MHDash: An Online Platform for Benchmarking Mental Health–Aware AI Assistants
Yihe Zhang, Finn Mohawk, Kaiying Han et al. IEEE SoutheastCon, 2026. Cites: paper

Enhancing survival analysis through federated learning in non-IID and scarce data scenarios
Patricia A. Apellániz, Juan Parras, Santiago Zazo. Computers in Biology and Medicine, 2026. Cites: paper

Knowledge -driven hierarchical concept clustering for interpretable data analysis
Ning Kang, Li Zou, Kuo Pang et al. Knowledge-Based Systems, 2026. Cites: paper

Prospective Multicenter Validation of Machine Learning Models for Mortality Prediction in Adult Critically Ill Patients using Transfer Learning
Ioannis Papapanagiotou, Charikleia S. Vrettou, Μαρία Θεοδωρακοπούλου et al. Research Square, 2026. Cites: paper

Research Protocol - Validation of Topological Saturation (v7c Model) as a Predictor of Hemodynamic Collapse and Mortality in Sepsis: A Retrospective Cohort Study in MIMIC‑III
Vicente Merino Gallardo. Research Square, 2026. Cites: paper

Contributions of Artificial Intelligence to Decision Making in Nursing: A Scoping Review
Filipe Fernandes, Lucy Shinners, Mauro Mota et al. Nursing and Health Sciences, 2026. Cites: paper

Representation Before Retrieval: Structured Patient Artifacts Reduce Hallucination in Clinical AI Systems
Joe Scanlin, Armando Gutiérrez Cuesta, Martin Varsavsky. medRxiv, 2026. Cites: paper

CardioEHR: A longitudinal electronic health record dataset of cardiovascular patients from central China
Lingfeng Zha, Chengbo Fu, Xue Sha et al. Scientific Data, 2026. Cites: paper

Unsupervised identification of sepsis subpopulations in the eICU database: A multi-method clustering approach with validation
Hanwen Ju, Joel A. Dubin. Computers in Biology and Medicine, 2026. Cites: paper

ContraIndicator: A Natural Language Processing-Based Approach to Potential Drug–Drug Interaction Detection in Pediatric Intensive Care
Pradeep Singh, Akshaya Devadiga, Ridam Pal et al. Clinical Drug Investigation, 2026. Cites: paper

Early Sepsis Detection from ICU Data Using Multimodal Deep Learning
Abhishek S. Shamkuwar, Parikshit Bhardwaj, Naveen Kumar et al. International Conference on Intelligent Processing, Hardware, Electronics, and Radio Systems (CIPHER), 2026. Cites: paper

Hybrid inverse reinforcement learning for mimicking clinicians' decision‑making in sepsis treatment
Ziyi Wang, Chuan Zhou, Yifan Wang et al. SPIE Medical Imaging: Imaging Informatics for Healthcare, Research, and Applications, 2026. Cites: paper

A closed-loop feedback framework based on large language models for iterative optimization in medical record generation
Shuo Huang, Chenhan Lin, Yang Yang et al. International Symposium on Robotics and Artificial Intelligence (ISRAI), 2026. Cites: paper

Development and evaluation of a prediction model for adult ICU hemorrhage using only continuous cardiorespiratory data
Andrew Barros, Brynne Sullivan, Matthew Clark et al. Physiological Measurement, 2026. Cites: paper

ICU mortality prediction using fine‑tuned large language models on structured clinical data
Akhil Kasturi, Ashley R. Proctor, Yunsung Hong et al. SPIE Medical Imaging: Computer-Aided Diagnosis, 2026. Cites: paper

ASQ-PHI: An adversarial synthetic data benchmark for clinical de-identification and search utility
James Weatherhead, George Golovko, Peter McCaffrey. Data in Brief, 2026. Cites: paper

Deep Learning-Based Missing Value Imputation for Heart Failure Mortality risk Prediction Data from MIMIC-III: A Comparative Study of DAE, SAITS, and MICE+LightGBM
Shilpa Sharma, Mandeep Kaur, Savita Gupta. medRxiv, 2026. Cites: paper

Establishment and External Validation of a Nomogram for Predicting In-Hospital Mortality in Patients With Maxillary Fractures Combined With Basilar Skull Fractures
Yutong Sun, Meng Wu, Wei Zhang et al. Journal of Oral and Maxillofacial Surgery, 2026. Cites: paper

Hierarchy-aware graph neural network and inverse-variance reinforcement learning for drug recommendation
Wei Hou, Xianxing Liu, Linxiao Li et al. Neurocomputing, 2026. Cites: paper

International Conference on Synergistic Research in Science, Technology, and Social Innovation (ICSRSTSI), January, 2026
Dr. Sneha Khadse, Sajitha A. V, Namra Joshi. International Journal of Integrative Studies (IJIS), 2026. Cites: paper

Interpreting peripheral oxygen saturation variability in critical illness: A directional framework adjusted for hypoxia severity
Shuyang Iris Feng, Tope Oyelade, Mudra Ko et al. Experimental Physiology, 2026. Cites: paper

Progress in sepsis prediction models: from traditional scoring systems to multimodal intelligence and clinical translation
Chenglin Mou, Jie Yang, Qingmei Wu et al. Frontiers in Medicine, 2026. Cites: paper

Multimodal Autoencoder–Based Anomaly Detection Reveals Clinical–Radiologic Heterogeneity in Pulmonary Fibrosis
Constantin Ghimuș, Călin Gheorghe Buzea, Alin Horațiu Nedelcu et al. Medical Sciences, 2026. Cites: paper

Agentic ElderFedLearn: A Differential Privacy-Based Approach for Elderly Disease Prediction
Sunder Ali Khowaja, Kapal Dev, Dipanwita Thakur et al. IEEE Transactions on Computational Social Systems, 2026. Cites: paper

Health-FedNet: secure federated learning for chronic disease prediction on MIMIC-III with differential privacy and homomorphic encryption
Muhammad Ilyas Shahid, Hafiz Muhammad Sanaullah Badar, Muhammad Nabeel Asghar et al. Scientific Reports, 2026. Cites: paper

SummFuseCare: extractive summarization enhancement and attention-based dual-modal fusion network for clinical risk prediction
Xinyue Li, Youshen Chi, Lin Cheng et al. Pattern Analysis and Applications, 2026. Cites: paper

Concise PPG features for lightweight identity verification
Danyal Shahmirzadi, Wen-Fong Wang. Multimedia Tools and Applications, 2026. Cites: paper

DLR: A Unified Framework for Semi-Supervised Learning with Large Language Models
Imran Ahmad, Khalid N. Alhayyan. International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2026. Cites: paper

End-to-end non-invasive ECG signal generation from PPG signal: a self-supervised learning approach
Murat Yalcin, Marc Erich Latoschik. Frontiers in Physiology, 2026. Cites: paper

Causal Inference-Based Collaborative Membership Inference Attack on Federated Recommendation
Jinyin Chen, Yang Bai, Minying Ma et al. IEEE Transactions on Computational Social Systems, 2026. Cites: paper

Innovative Entity Semantic Retrieval and Reasoning Algorithm with Knowledge Graph Integration (KGI-ERR)
Juan Hui, Qingmei Tan. International Journal of Pattern Recognition and Artificial Intelligence, 2026. Cites: paper

PhysioBridge: Physiology-Constrained Self-Supervised Foundation Model for Cross-Device ECG–PPG Learning with Conformal Risk Control
A H Alzubaidi, Ali Al-Shuwaili, Ali Al-Bayaty. International Conference on Computing and Emerging Sciences, 2026. Cites: paper

A clinically accessible heart disease prediction framework: multi-model evaluation with ensemble learning and low-code deployment
Mowafaq Salem Alzboon, Mohammad Subhi Al-Batah. Discover Applied Sciences, 2026. Cites: paper

A comprehensive dataset of customer behavior in Latin American Fintech: 12-month transactional and demographic data for churn analysis
Luis Eduardo Muñoz Guerrero, Yony Fernando Ceballos, Luis David Trejos Rojas. Data in Brief, 2026. Cites: paper

ECG and PPG Signals-Based Premature Ventricular Contraction Detection Methods: A Review, Key Challenges, and Future Directions
Shailesh Mohine, Nabasmita Phukan, M. Sabarimalai Manikandan et al. Cardiovascular Engineering and Technology, 2026. Cites: paper

Operationalizing Medical Transcription AI at the edge for faster, accurate, secure, and cost-efficient healthcare workflow integration
Syafie Nizam, Kuan Heng Lee, Abhishek Khowala. International Conference on Consumer Electronics, 2026. Cites: paper

Towards Automated Reporting: A Bronchoscopy Report Dataset for Enhancing Multimodality Large Language Models
Xingjian Luo, Xinyan Huang, Xusheng Liang et al. Scientific Data, 2026. Cites: paper

Artificial Intelligence in Healthcare: Advances in Medical Image Processing For Diagnosis, Treatment, and Monitoring
Dr. T. Balaji, Veeranan Arun Giridhari Veeranan. International Journal of Integrative Studies (IJIS), 2026. Cites: paper

Cited by