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

Documentation Gaps are the Primary Barrier to Reproducing Clinical ML Literature: Automated Replication with VERA
Andre Chu, Warren Woodrich Pettine. Lecture notes in computer science, 2026. Cites: paper

Hybrid Interpretability and Performance Healthcare Model
Hamid Mcheick, Mouhamadou Faye, Batoul Msheik. International Conference on Smart Applications, Communications and Networking (SmartNets), 2026. Cites: paper

Informative Missingness to Generate Irregular Clinical Time Series
Hadi Mehdizavareh, Gabriele Santangelo, Giovanna Nicora et al. Lecture notes in computer science, 2026. Cites: paper

P2Es: Physiology-conditioned diffusion for 12-lead ECG generation from PPG
Hui Ji, Wei Gao, Pengfei Zhou. Smart Health, 2026. Cites: paper

Context aware knowledge discovery for clinical support using transfer learning
Gaurav Paliwal, Aaquil Bunglowala. Multimedia Tools and Applications, 2026. Cites: paper

Early mortality risk prediction in critically ill patients with liver cancer using interpretable machine learning: a retrospective cohort study
Li Qin, Bo Zhang, Li Zhang et al. Frontiers in Cell and Developmental Biology, 2026. Cites: paper

MedFed-Secure: A privacy-enhanced and trust-aware federated learning framework for connected healthcare
Waseem Abbass, Muzammil Ahmad Khan, Nasim Abbas. Ad Hoc Networks, 2026. Cites: paper

Medical question answering: A comprehensive multimodal and LLM-driven survey
Eya Mhedhbi, Xiang Zhu, Muhammad Ayaz et al. Computer Methods and Programs in Biomedicine, 2026. Cites: paper

Avaliação de Modelos de Paralelismo para Rastreabilidade de Dados em Saúde: Um Estudo de Caso sobre a Interpolação de Sinais Médicos
Regisson C. P. Aguiar, Roberta A. A. Fagundes. Escola Regional de Alto Desempenho da Região Nordeste (ERAD-NE), 2026. Cites: paper

Graph Network Feature Space Fusion for Predicting Irregularly Sampled Medical Time-Series Data: Deep Learning Model Development and Validation Study
Tianle Hong, Zedong Ren, Junfei Fang et al. JMIR Medical Informatics, 2026. Cites: paper

Structured-to-text ClinicalBERT embeddings with random Forest for heart disease prediction: a proof-of-concept study on the UCI Statlog dataset
U. Priyadharshini, R. Vijayan. Frontiers in Artificial Intelligence, 2026. Cites: paper

Artificial intelligence assisted telemedicine, clinical decision support for anesthesia and critical care in intensive care units: a scoping review
Qingxia Yang, Meixia Li, Lei Yu. BMC Anesthesiology, 2026. Cites: paper

A scoping review of applications of natural language processing for chronic pain research
Swati Rajwal, Selen Bozkurt, Jeanmarie Perrone et al. Discover Artificial Intelligence, 2026. Cites: paper

MLIF: Multi-aspect Label Information Fusion for Effective ICD Coding in Long-Tail Scenarios
Yonghe Yan, 忻裕静, Ning Liu et al. Communications in computer and information science, 2026. Cites: paper

Temporal Feature Engineering and Ensemble Learning for Predicting 28-Day Mortality in ICU Patients with Alcoholic Cirrhosis
Janet Sanjaya, Mohammadsaeed Haghi, Nausin Tabassum Kudrot et al. medRxiv, 2026. Cites: paper

A knowledge enhanced framework for interpretable medical visual question and answering via large foundation model
Xinyan Deng, Yinxin Xu, Xiaorou Zheng et al. Multimedia Systems, 2026. Cites: paper

An Artificial Intelligence-Enabled Framework for Early Disease Diagnosis through Clinical Narrative Mining
Nitin A. Dhawas, Vilas Deotare, Reshma Sonar et al. International Conference on Computer, Mechatronics, Robotics & Artificial Intelligence (ICCMRAI), 2026. Cites: paper

Association between frailty and clinical outcomes in critically ill coronary artery disease patients: A retrospective cohort study
Mengxiao Wang, Chengjian Guan, 马千里 et al. Science Progress, 2026. Cites: paper

Association between hemoglobin-to-red cell distribution width ratio and critically ill patients with atrial fibrillation: A retrospective cohort study
Yuan Yuting, Lijuan Guo, Xinghe Sun. Science Progress, 2026. Cites: paper

Characterizing Synchronization Overhead in Hybrid Parallel Training of Clinical Prediction Models on Multilevel Architectures
Shaili Balampaki, Satish Wagle, Khem Poudel. International Conference on Computer Communications and Networks (ICCCN), 2026. Cites: paper

Comparative Study of Representation Learning Methods for ICU Mortality Prediction in Congestive Heart Failure Patients with Class Overlap
Mohammad Yoga Pratama, Riyanarto Sarno, Agus Tri Haryono et al. IEEE International Conference on Artificial Intelligence and Mechatronics Systems (AIMS), 2026. Cites: paper

Detection of cancer recurrence from Thai-English electronic medical records using sentence embeddings
Ekapob Sangariyavanich, Wanchana Ponthongmak, Nawanan Theera-Ampornpunt et al. BMJ Health & Care Informatics, 2026. Cites: paper

Development and validation of an interpretable machine-learning-based model incorporating time-weighted variables for predicting intensive care unit mortality in patients with cardiac arrest: A retrospective study
Guyu Zhang, Le An, Chenchen Hang et al. Intelligent Medicine, 2026. Cites: paper

DMGExNet: A Dual‐Stream Transformer‐Guided Multi‐Graph Collaborative Explainable Network for Medication Recommendation
Chao Pan, Haitao Wang, Jianfeng He et al. Engineering Reports, 2026. Cites: paper

ECG-PPG Fusion with Feature Transfer for Blood Pressure Estimation
Hui-Ming Huang, Hong-Xin Tan, Chao-Xin Xie et al. IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan), 2026. Cites: paper

Faithful Explainability in Clinical Neural Networks via Attention-SHAP Consistency for ICU Mortality Forecasting
Vinjamuri S. N. C. H. Dattu, Jenyfal Sampson, Nayani Sateesh et al. International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE), 2026. Cites: paper

Identifying Patients at Risk of Sudden Cardiac Arrest Using Graph Representation Learning on Electronic Health Records
Fatemeh Ghaffarpour, Emad A. Mohammed, Behrouz H. Far. IEEE International Conference on Information Reuse and Integration (IRI), 2026. Cites: paper

JudgEHR: LLM-Guided Cohort Inference for Clinical Decision Confidence Estimation
Kexuan Xin, Guillaume Pelat, Jonathan Vitale et al. IEEE International Conference on Digital Health (ICDH), 2026. Cites: paper

KACIO: Keyword-Aware Cross-Attention for Long-Tailed ICD-9 Coding
Jing Tao, Farhana H. Zulkernine. IEEE International Conference on Digital Health (ICDH), 2026. Cites: paper

MediDiagnose: An Explainable AI-Powered Clinical Decision Support System Using Biomedical NLP and Human-in-the-Loop Validation
Youssef Waleed Sayed, Ali Mohamed Hassan, Nermin Negeid. Intelligent Methods, Systems, and Applications (IMSA), 2026. Cites: paper

Monocyte-to-HDL-cholesterol ratio and 1-year mortality in critically ill coronary heart disease: A MIMIC cohort study
Ding Li, Jiayang Dong, Zhiqiang Zhang et al. Science Progress, 2026. Cites: paper

Multi-Agent Medical Debate System for Clinical Reasoning
Shreyas Bhoyar, Adil Ansari, Navrati Saxena. IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT), 2026. Cites: paper

Multimodal clinical data integration for prognosis of pulmonary embolism: A comparative study
Domenico Paolo, Paolo Soda, Matteo Tortora et al. Computerized Medical Imaging and Graphics, 2026. Cites: paper

Shield: Semantic Hierarchy-Enhanced Hypergraph Learning for Diagnosis Prediction
Xusheng Yu, Hang Lv, Guofang Ma et al. IEEE International Conference on Web Services (ICWS), 2026. Cites: paper

An Investigation of Federated GNNs under Aggregation, Data Poisoning, and Differential Privacy for ICU Length-of-Stay Prediction
Shakib Mahmud Dipto, Soumya Banerjee, Sandip Roy et al. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), 2026. Cites: paper

ARTIFICIAL INTELLIGENCE IN INTENSIVE CARE UNITS: CLINICAL APPLICATIONS, ETHICAL CHALLENGES AND FUTURE DIRECTIONS - A NARRATIVE REVIEW
Jakub Swiech, Marta Kamrowska, Katarzyna Apanasewicz et al. International Journal of Innovative Technologies in Social Science, 2026. Cites: paper

Large Language Models and Responsible AI in Clinical Decision Support Systems: A Systematic Literature Review
Dennis Paulino, André Thiago C. Netto, Rafael Ris-Ala José Jardim et al. International Journal of Human-Computer Interaction, 2026. Cites: paper

LTR-ICD: A Ranking-Aware Framework for Automatic ICD Coding
Mohammad Mansoori, Amira Soliman, Kobra Etminani. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), 2026. Cites: paper

Probing the Intrinsic Effectiveness of Large Language Models for Medical Classifications
Riccardo Lunardi, Kevin Roitero, Vincenzo Della Mea. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), 2026. Cites: paper

Quantifying delay: modeling the impact of timeliness on narrative feedback for Entrustable Professional Activity assessments in internal medicine training using artificial intelligence
Eddy Yu, Haozhong Tian, Farida Mohamad et al. Canadian Medical Education Journal, 2026. Cites: paper

Scalability and Saturation in Swarm Learning: A KPI-Driven Analysis on Real-World Clinical Data
Matteo Mantovani, Simone Scaglia, Carlo Combi. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), 2026. Cites: paper

Stochastic Retrieval for Fairness–Accuracy Trade-offs in Clinical RAG
Riccardo Lunardi, Vincenzo Della Mea, Carsten Eickhoff et al. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB), 2026. Cites: paper

A hybrid machine learning algorithm for clustering healthcare data improving prediction accuracy
S. Balapriya, D. Hemanand, Mahmad Mustafa et al. Cluster Computing, 2026. Cites: paper

Evaluation of temporal preservation in synthetic longitudinal patient data
Katariina Perkonoja, Parisa Movahedi, Antti Airola et al. Journal of Biomedical Informatics, 2026. Cites: paper

LSAB-zCDP: Layer-wise Sensitivity Analysis with Tight Bounds under Zero-Concentrated Differential Privacy for Deep Autoencoder Composition in Medical IoT
Manas Kumar Yogi, A. S. N. Chakravarthy. Journal of ISMAC, 2026. Cites: paper

Mixing It Up: Exploring Mixer Networks for Irregular Multivariate Time Series Forecasting
Christian Klötergens, Tim Dernedde, Lars Schmidt-Thieme et al. Lecture notes in computer science, 2026. Cites: paper

Time-Updated Prognostic Modeling in ICU Patients with Documented Coma or Unresponsiveness Using Routine Arterial Blood Gas Trajectories: An Exploratory Explainable Machine-Learning Study
Pompiliu Mircea Bogdan, Camer Salim, Elena Roxana Bogdan Goroftei et al. Journal of Clinical Medicine, 2026. Cites: paper

Towards A Novel Shapley-Based Framework for Data-Centric Cohort Refinement
Yueh Tang, Justin Z. Zhan. Lecture notes in computer science, 2026. Cites: paper

Application of Total Bilirubin to Albumin Ratio in Predicting In-Hospital Mortality of Acute Pancreatitis and Construction and Validation of Machine Learning Prediction Models: A Multi-Database Study
Rui Zhang, Zheng Xu, Hongwei Li et al. Research Square, 2026. Cites: paper

Development and temporal validation of an auditable EHR-based risk-ranking pipeline integrating Chinese admission notes and laboratory data for cardiac intensive care: a retrospective cohort study
Quan Zuo, Li Zhao, Ge Tao. Research Square, 2026. Cites: paper

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