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

IB-Mix: Information Bottleneck and Mixup for Class-Imbalanced Image Classification
Wisdom Xornam Ativi, Wenyu Chen, Lazarus Kwao et al. Asia Conference on Algorithms, Computing and Machine Learning (CACML), 2026. Cites: paper

Performance fairness of neural network models in early risk assessment of inpatients with varying severity: a retrospective study
Lan Lan, Shixin Huang, Yang Chen et al. BMC Medical Informatics and Decision Making, 2026. Cites: paper

CF-GNN: An Imbalance-Aware Counterfactual Graph Neural Network for ICU Mortality Prediction in Coronary Artery Disease Patients
Geetha Pratyusha Miriyala, Arun Kumar Sinha. IEEE International Conference on AI Engineering and Innovations (AIEI), 2026. Cites: paper

Enhancing fairness and privacy in federated graph neural networks via macro-level restructuring
Dongli Tan, Zuobin Ying, Yajie Wang et al. Knowledge-Based Systems, 2026. Cites: paper

Generative AI-Enhanced Data Engineering Pipelines for Predictive Biomarker Discovery in Alzheimer’s and Kidney Disease
Mahesh Recharla, Ravi Shankar Garapati, Velangani Divya Vardhan Kumar Bandi et al. IEEE International Conference on AI Engineering and Innovations (AIEI), 2026. Cites: paper

RACE-Fusion: Reliability- and Calibration-Enhanced Tri-Modal Learning from ECG, Echocardiography, and EHR
Bikram Kumar, T Narayanan, Bikram Kumar. World Conference on Computational Science and Technology (WcCST), 2026. Cites: paper

Sample size calculation for training ensemble machine learning models on health data
Nicholas Mitsakakis, Dan Liu, Thomas D. Walters et al. Patterns, 2026. Cites: paper

Dynamic association between triglyceride-glucose-body mass index and hospital mortality in critically ill patients with heart failure: a multicenter retrospective cohort study
Shuang Liu, Yuzhou Cai, Chenming Shi et al. Cardiovascular Diabetology, 2026. Cites: paper

Rôle de l’intelligence artificielle en recherche clinique : promesses, méthodologie d’évaluation et intégration opérationnelle
Loïc Verlingue, Camille Brodin, Jean‐Yves Blay. Bulletin de l Académie Nationale de Médecine, 2026. Cites: paper

Translator-Oriented AI for Medical Record Reconciliation (TOAI-MR)
Anas Alsobeh, Amani Shatnawi, Rafat Hammad. IEEE International Conference on Secure IoT, Assured and Trusted Computing (SATC), 2026. Cites: paper

Biomedical Named Entity Recognition and Relation Extraction: Methodologies, Challenges & Opportunities
Andr´e Gonc¸alves, Henrique Lopes Cardoso, L. P. Reis. IEEE Transactions on Computational Biology and Bioinformatics, 2026. Cites: paper

CBPE: Causal-aware Blood Pressure Estimation with Multimodal Data
Hoyoon Byun, Seong-Jin Park, Jinho Kang et al. ACM Symposium on Applied Computing, 2026. Cites: paper

DynaMamba: Multi-scale dynamic interacting Mamba network for irregular clinical time series classification
Hao Chen, Junjie Zhang, Xiaowei Yan et al. Journal of Biomedical Informatics, 2026. Cites: paper

A systematic review of artificial intelligence-driven decentralized learning in healthcare: emerging techniques, applications, challenges and future directions
Zehui Zhao, Laith Alzubaidi, Haider A. Alwzwazy et al. Artificial Intelligence Review, 2026. Cites: paper

LLM-based harmonized data ingestion for dataspace: a novel system for automating data ingestion across heterogeneous data sources
Parwinder Singh, Michele Gaspari, Nirvana Meratnia et al. Knowledge-Based Systems, 2026. Cites: paper

Association of the Endothelial Activation and Stress Index (EASIX) with short-term mortality in critically ill patients with congestive heart failure: A retrospective cohort study from the MIMIC database
Xiao Dong, Yingxiu Huang, Ming Hu et al. Medicine, 2026. Cites: paper

Central venous pressure measurement is associated with improved outcomes in critically ill elderly patients: A propensity score matched cohort study based on the MIMIC-III database
Jun Wang, Huiguo Ding, Yang-Ru-Rou Liu et al. Medicine, 2026. Cites: paper

Ontology-Based Medication Named Entity Recognition Using Pretrained Transformer Models From a Thai Hospital: Model Fine-Tuning and Validation Study
Natthanaphop Isaradech, Wachiranun Sirikul, Stefan Schulz et al. JMIR Formative Research, 2026. Cites: paper

Prognostic Value of the Acute Physiology and Chronic Health Evaluation II (APACHE II) Score in Secondary Peritonitis: A Narrative Review
Shubham Ramanbhai Kotwal, Dhaval V Patel, Dr.CHIRAL L. BAMANIYA. Cureus, 2026. Cites: paper

Optimizing real-time phenotyping in critical care using machine learning on electronic health records
Piotr Picheta, Stanisław R. Deniziak. Expert Systems with Applications, 2026. Cites: paper

Toward Better Privacy-Protected Federated Learning for Healthcare Services in Non-IID Scenarios
Yanli Li, Jifei Hu, Hang Zhang et al. IEEE Transactions on Emerging Topics in Computational Intelligence, 2026. Cites: paper

DispatchMAS: fusing taxonomy and artificial intelligence agents for emergency medical services
Xiang Li, Huizi Yu, Wenkong Wang et al. BMC Emergency Medicine, 2026. Cites: paper

The causal transparency framework: a multi-metric approach to algorithmic accountability
John Gabriel O. Marko, Daniel C. Neagu, P. B. Anand. AI and Ethics, 2026. Cites: paper

Yapay Zekâ Tabanlı Sentetik Hasta Modellemesi ile Karar Destek Sistemlerinin Geliştirilmesi
Utku Köse, Emine Betül Sürücü. Özgür Yayınları eBooks, 2026. Cites: paper

Aligning language models with clinical expertise: Direct preference optimization for heart failure nursing documentation in critical care
Junyi Fan, Li Sun, Negin Ashrafi et al. Computer Methods and Programs in Biomedicine Update, 2026. Cites: paper

A comprehensive review of temporal reasoning with multimodal LLMs: Foundations, challenges, and healthcare applications
Marouene Chaieb, Nour Ben Ameur, Wadii Boulila. Computer Science Review, 2026. Cites: paper

CKD-EHR: Clinical Knowledge Distillation for Electronic Health Records
Junke Wang, Hongshun Ling, Li Zhang et al. Biomedical Signal Processing and Control, 2026. Cites: paper

Enhancing few-shot personalized cuffless blood pressure estimation with self-supervised learning
Liwen Tang, Wan-Hua Lin, Zheng Dingchang et al. Physiological Measurement, 2026. Cites: paper

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort
Francisco Manuel Ortuño, Víctor de la Oliva, Javier‐Ignacio Ramirez‐Lopez et al. Advanced Science, 2026. Cites: paper

Hypergraph topic neural network with cross-modal fusion for latent treatment pattern recommendation
Xin Min, Wei Li, Weidong Xie et al. Engineering Applications of Artificial Intelligence, 2026. Cites: paper

ChainCare: Clinical prediction via bidirectional monitoring event chains and multi-event time series modeling
Shi Mu, Qizheng Sun, Shihui Zhang. Information Processing & Management, 2026. Cites: paper

Fine-grained dynamic graph learning for irregular multivariate time series
Jinquan Ji, Chunyi Hou, Yu Cao et al. Information Processing & Management, 2026. Cites: paper

Inteligencia artificial aplicada a los cuidados (II): algoritmos y aplicaciones
Reyes Grangel, María Victoria Ibáñez Gual, Amelia Simó Vidal et al. Enfermería Clínica, 2026. Cites: paper

High anion gap and albumin-adjusted anion gap are associated with hospital mortality in intensive care unit patients with liver cirrhosis: A retrospective cohort
Liu Zhao, Song Xuefeng, Zhang Qiang et al. Medicine, 2026. Cites: paper

Mobile systems for healthcare 5.0: Applications, challenges and opportunities
Yuxuan Zhao, Liping Zuo, Dexin Yu et al. High-Confidence Computing, 2026. Cites: paper

Contextualizing Decisions in the Monarchy of Healthcare through Traceable Patient-Level Evidence
Gaurav Sharma, Rahul Kumar, Yashi Tiwari et al. IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), 2026. Cites: paper

Natural language processing for geriatric syndromes: a systematic review of methods, applications, and challenges
Fahrurrozi Rahman, Imane Guellil, Abul Hasan et al. BMC Medical Informatics and Decision Making, 2026. Cites: paper

AI-powered metaverse for lifelong learning and skill evolution
Soha Rawas, Agariadne Dwinggo Samala, Aprilla Fortuna. Discover Education, 2026. Cites: paper

Safe and personalized drug recommendation via heterogeneous graph learning: integrating graphSAGE representations with DDI-aware cross-attention
Navid Khaledian, Sonya Falahati. Progress in Artificial Intelligence, 2026. Cites: paper

Admission systemic immune-inflammatory index predicts long-term mortality in patients with acute ischemic stroke: a retrospective analysis of the MIMIC-III database
Xiao Su, Xiuqing Tong, Ning Li et al. Intensive Care Medicine Experimental, 2026. Cites: paper

Identifying and timing patient outcomes in clinician notes using large language models
Tassallah Abdullahi, Ali Hamzeh, Isaac Sears et al. Artificial Intelligence in Medicine, 2026. Cites: paper

Identification of Heterogenous Treatment Response to Corticosteroids Among Patients With Ventilator-Dependent Respiratory Failure
Charles R. Terry, Kit N. Simpson, Andrew J. Goodwin et al. CHEST Critical Care, 2026. Cites: paper

Privacy attack against federated tensor decomposition-based models
Yichen Ma, Michael Biehler, Jianjun Shi. IISE Transactions, 2026. Cites: paper

Association between deep learning–based atrial fibrillation burden and in-hospital mortality
Yongseop Lee, Yujee Chang, Jihoon Seo et al. PLOS Digital Health, 2026. Cites: paper

Bridging Stepwise Lab-Informed Pretraining and Knowledge-Guided Learning for Diagnostic Reasoning
Pengfei Hu, Chang Hua Lu, Fei Wang et al. IEEE Journal of Biomedical and Health Informatics, 2026. Cites: paper

Variability in Automated Sepsis Case Detection: A Systematic Analysis of Implementation Methods in Clinical Data Repositories
Falk Meyer-Eschenbach, René Schmiedler, Johannes v. Stoephasius et al. medRxiv, 2026. Cites: paper

A systematic review of automatic mapping of clinical terminologies
Mohammad Mekayel Anik, Syed Ahmmed, Md. Rubaiyat Hossain Mondal. Array, 2026. Cites: paper

Collaborative Coarse-to-Fine Disease Learning With Discharge Summary Awareness for EHR Event Prediction
Yan Kang, Zhuolun Li, Bin Pu et al. IEEE Transactions on Cybernetics, 2026. Cites: paper

From Patient Emotion Recognition to Provider Understanding: A Multimodal Data Mining Framework for Emotion-Aware Clinical Counseling Systems
Saahithi Mallarapu, Xinyan Liu, Pegah Zargarian et al. Computers, 2026. Cites: paper

A comprehensive survey on medical concept normalization: Datasets, techniques, applications, and future directions
Haihua Chen, Yuhan Zhou, Ruochi Li et al. Journal of Biomedical Informatics, 2026. Cites: paper

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