Publications citing MIMIC-III Waveform Database Matched Subset v1.0

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

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

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

Association between antithrombin levels and prognosis in patients with sepsis: a retrospective cohort study based on the MIMIC-IV and MIMIC-III databases
Bingkui Ren, Gang Zhou, Haiyan Xue et al. Journal of Intensive Care, 2026. Cites: paper

Artificial intelligence-assisted phenotyping of sepsis: Research progress, clinical challenges, and translational prospects
Hang Ruan, Jing-Kun Lee, Jie Xiong et al. Digital Health, 2026. Cites: paper

Explainable AI for mortality prediction: a comparative study using the MIMIC-III dataset
Niusha Shafiabady, Dave Akume, Mohammadreza Haghighat et al. BMJ Health & Care Informatics, 2026. Cites: paper

Federated learning for heterogeneous electronic health record systems with cost effective participant selection
Junsu Kim, Junsu Kim, Kyunghoon Hur et al. Scientific Reports, 2026. Cites: paper

Semantic analysis of SNOMED CT concept co-occurrences in clinical documentation using MIMIC-IV
Ali Noori, Prashanti Manda. Digital Health, 2026. Cites: paper

Transformers for Graph-based Recommender Systems: A Survey
Lorenzo Zangari, Sílvio Raso, Andrea Tagarelli. Machine Intelligence Research, 2026. Cites: paper

Conflux: A High-Performance Keyword Private Retrieval System for Dynamic Datasets
Zehao Chen, Zhaoyan Shen, Qian Wei et al. IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2026. Cites: paper

KATMed: a knowledge-augmented transformer model for contraindication-aware medication recommendation in comorbidities
Ziqian Qiao, Shaofu Lin, Jiatong Fan et al. Journal of Biomedical Informatics, 2026. Cites: paper

CLOVER: A framework for benchmarking synthetic data generation methods balancing utility and privacy in healthcare
Yue Qi, Lorrie Herbault, Hadrien Lautraite et al. Artificial Intelligence in the Life Sciences, 2026. Cites: paper

Multimodal spatiotemporal graph convolutional attention network for dynamic risk stratification and intervention strategy generation in rare disease rehabilitation nursing
Siwen Zhao, Min Hu, Shan Fang. Scientific Reports, 2026. Cites: paper

Revisiting NLP applications using MIMIC data: A systematic literature review toward advancing clinical processes and workflows in the Era of LLMs
Jiawei Wu, Nazmus Sakib, Fahim Islam Anik et al. Smart Health, 2026. Cites: paper

A survey On large language models for medical time series
Xingyue Liu, Feizhong Zhou, Hanguang Xiao et al. Expert Systems with Applications, 2026. Cites: paper

Liver Infection Detection Using Machine Learning
Sulekh Kumar, Momita Kundu, Kamla Kumari et al. International Conference on Recent Trends in Computer Science and Technology (ICRTCST), 2026. Cites: paper

Large language models for clinical artificial intelligence in healthcare a systematic review
Rawan Ghnemat, Amro Saleh. Discover Artificial Intelligence, 2026. Cites: paper

PPG-AFNet: a lightweight and intelligible network for atrial fibrillation identification using photoplethysmography signals
Preeti P. Ghasad, Bhupendra Tiwari, Vipin Milind Kamble et al. Biomedical Engineering Letters, 2026. Cites: paper

Interdisciplinary expertise to advance human-centered explainable AI
Chloe R. Bennett, Heather J. Cole-Lewis, Stephanie Ann Farquhar et al. Social Science & Medicine, 2026. Cites: paper

Multi-Model Fusion for 28-Day Mortality Prediction in ICU Patients: A Comprehensive Retrospective Cohort Study with Subgroup Validation and Clinical Risk Stratification
Zhanzhi Long, Shijun Tong. Shock, 2026. Cites: paper

Exploring the association between dexmedetomidine and all-cause mortality in mechanically ventilated patients with sepsis through propensity score matching analysis and machine learning algorithms: a MIMIC-IV retrospective study
Yanxia Wei, Minghui Li, Peng Wang et al. Frontiers in Cellular and Infection Microbiology, 2026. Cites: paper

Optimizing ED patient disposition predictions through clinical narratives with advanced pre-trained language models
Mei-Hui Lee, Ting-Yun Huang, Pei-Ying Yang et al. Health Information Science and Systems, 2026. Cites: paper

The next frontier in sepsis: connected ICU data for real-world clinical decision making
Ricardo Simón Carbajo, Julia Palma, Ignacio Martín‐Loeches. Intensive Care Medicine, 2026. Cites: paper

KRAM: Knowledge-driven robust training against label noise for medication recommendation
Yuan Jin, Zhen Zhang. Expert Systems with Applications, 2026. Cites: paper

Developing a multi-domain EHR foundation model for predicting Hepatitis B liver disease: a clinical perspective
Caroline Weis, Filippo Grazioli, Giovanni Visonà et al. medRxiv, 2026. Cites: paper

IKDP: Implicit Knowledge Enhanced Disease Prediction via heterogeneous admission sequence graphs
Zongbao Yang, Yuchen Lin, Yichen He et al. Artificial Intelligence in Medicine, 2026. Cites: paper

Optimizing atrial fibrillation detection through ECG feature selection using Extra-Trees and statistical association measures
Γεώργιος Πετμεζάς, Vasileios Ε. Papageorgiou, ROD S. PASSMAN et al. Journal of Electrocardiology, 2026. Cites: paper

Artificial Intelligence and Deep Learning-Based Methods and Devices for Measuring Vital Signs: A Systematic Review
César Castrejón-Peralta, Jesús Yaljá Montiel-Pérez, Saulo Abraham Gante-Díaz et al. Applied Sciences, 2026. Cites: paper

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