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

A Calibrated Class-Weighted Ensemble Framework for Relationship Classification in SNOMED CT with Domain-Specific BERT Models
T. M. Rubaith Bashar, Mengjia Xu, James Geller. IEEE International Conference on Healthcare Informatics (ICHI), 2026. Cites: paper

AI-Driven Early-Warning System to Predict Multi-Organ Deterioration in Critical Care Patients
Chaitanya Krishna Kasaraneni, Sarmista Thalapaneni. IEEE International Conference on Healthcare Informatics (ICHI), 2026. Cites: paper

AI Voice-Based Multilingual Emergency Assessment
Eren Yigidim. IEEE International Conference on Healthcare Informatics (ICHI), 2026. Cites: paper

Association between renal replacement therapy and in-hospital mortality in patients with severe acute kidney injury: a retrospective cohort study based on MIMIC-IV database
Guanyuan Tian, Zhibin Lin, Zhanmao Chen et al. BMC Urology, 2026. Cites: paper

A survey on medical multimodal retrieval-augmented generation (RAG)
Ruipeng Wang, Jian Wang, Yan Huang et al. High-Confidence Computing, 2026. Cites: paper

CHGRec: causal heterogeneous graph-enhanced medication recommendation with personalized refinement
Guangyao Wan, Anting Gao, Kai Che et al. International Journal of Data Science and Analytics, 2026. Cites: paper

ClinCode Copilot: An Interactive Clinical Coding Assistant with Dual Interpretability
Vicente Barros, Luís Carlos Afonso, José Luís Oliveira et al. IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2026. Cites: paper

Confimed: a Parallel English-Arabic Benchmark for Fine-Grained Confidentiality Classification in Healthcare Correspondence
Sarah Kohail, Abdularahman Albajali, Mohammed Alshehhi. IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2026. Cites: paper

Continuous Acute Kidney Injury Prediction in the Intensive Care Unit
Eldar Zosmanovich, Niv Shifrin, Yair Erell et al. IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2026. Cites: paper

Deep Learning for Early Disease Detection: A Multimodal Approach to Diagnostic Accuracy in Medical Imaging
NEHA V. VYAS, Kiran Velukuri, Nityal Kumar Alagingi et al. IEEE Global Symposium on Emerging and Communication Technologies (GSEACT), 2026. Cites: paper

Deep neural networks for early detection of chronic diseases using multi-modal health data
Dharmendra Kumar. Neural Computing and Applications, 2026. Cites: paper

Evolution of LLMs for Clinical Information Extraction: A Comparative Study of GPT and Llama Models
Vipina K. Keloth, Yang Ren, Kriti Bhattarai et al. IEEE International Conference on Healthcare Informatics (ICHI), 2026. Cites: paper

Explainable AI for Scientific Applications: Making AI Models Interpretable in Healthcare, Climate Science, and Engineering
Mohammad Mahmudur Rahman, Md Shakawat Hossain Rabbi, Md Zubair Ahmad et al. Technology and Innovation Conference (TIC), 2026. Cites: paper

Fine-Tuning BERT with Privacy-Preserving LLM-Labeled Synthetic Training Data: An Application to Valley Fever Symptom Extraction
Amimul Ehsan Zoha, Gondy Leroy A, John N. Galgiani et al. IEEE International Conference on Healthcare Informatics (ICHI), 2026. Cites: paper

Hypergraph Core Attention Network for Irregular Multivariate Time Series Forecasting
Jo Masuda, Yuma Dose, Takahiro Hara. International Joint Conference on Neural Networks (IJCNN), 2026. Cites: paper

IndoClinNER: Overcoming Medical Prior Bias in Clinical De-Identification Via Adversarial Surname Injection
Sayantan Mandal, Ashish Tiwari. IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2026. Cites: paper

Interpretable Deep Reinforcement Learning with Differentiable Decision Trees for Cost-Effective Medical Diagnosis
Sumedh Ramteke, Umesh Ashok Deshpande. IEEE Guwahati Subsection Conference (GCON), 2026. Cites: paper

Interpretable ICD Coding with Chunk-Level Attention and Contrastive Pretraining
Luís Carlos Afonso, Vicente Barros, João Rafael Almeida et al. IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2026. Cites: paper

Interpretable Machine Learning for Early Sepsis Prediction
Charithea Stylianides, Andria Nicolaou, Anna Vavlitou et al. IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2026. Cites: paper

MAP: evaluation and multi-agent enhancement of large language models for inpatient pathways
Zhen Chen, Zhihao Peng, Xusheng Liang et al. npj Health Systems, 2026. Cites: paper

Pareto fronts for privacy-utility trade-offs in multi-query systems
Yi Yin, Guangquan Zhang, Hua Zuo et al. European Journal of Operational Research, 2026. Cites: paper

PolyReal: A Benchmark for Real-World Polymer Science Workflows
Wanhao Liu, Weida Wang, Jiaqing Xie et al. 2026. Cites: paper

Privacy Awareness in Large Language Models: Input Regurgitation and Prompt-Induced Sanitization for HIPAA and GDPR Compliance
Aravinda Jatavallabha, Venkatesha Matam, Vidisha Vijay. IEEE International Conference on AI and Data Analytics (ICAD), 2026. Cites: paper

Privacy without Loss of Utility: Evaluation of De-identification Techniques in Deep Learning for Intensive Care Units
Vitor Matheus Valandro da Rosa, Giovana Nunes Inocêncio, Jean Everson Martina. 2026. Cites: paper

Relationship Extraction for Adverse Drug Events in Clinical Notes Using Large Language Models
Joseph Michael Plasek, Yiming Li, Mary G. Amato et al. medRxiv, 2026. Cites: paper

Retrieval-Augmented Generation for Evidence-Based Biomedical Knowledge Extraction from Clinical Reports
Tarannum Alimahmad Bloch, Deep Dave, Chandraparsad. International Conference on Smart Communication and Sustainable Technologies (ICSCST), 2026. Cites: paper

RLMV: An Algorithm for Predicting the Duration of Mechanical Ventilation in Patients
Jiaying Xi, Zhao Yunbo, Haoquan Zhou et al. Asian Control Conference (ASCC), 2026. Cites: paper

Systematic Evaluation of Large Language Models for Post-Discharge Clinical Action Extraction
Shivali Dalmia, Ananya Mantravadi, Prasanna Desikan. IEEE International Conference on Healthcare Informatics (ICHI), 2026. Cites: paper

TabHealth: Towards a Self-Supervised Tabular Foundation Model for Smart Healthcare
Mattia Giovanni Campana, Giada Anastasi, Stefania Pieroni et al. IEEE International Conference on Smart Computing, 2026. Cites: paper

TD-Hyper: Time-Density Guided Hypergraph Learning for Clinical Irregular Multivariate Time Series
Guohui Ding, Zejun Zhang, Jinwei Wang. International Joint Conference on Neural Networks (IJCNN), 2026. Cites: paper

trAIn Health: Uma Plataforma para Experimentação Reprodutível em Aprendizagem de Máquina para Dados em Saúde
Thiago Guilherme Bezerra de Aguiar, Renan T. Leite, Ana Beatriz S. V. dos Santos et al. 2026. Cites: paper

Elastic functional Cox regression model with shape predictors
Yi Tang Chen, Sebastian Kurtek. Journal of Applied Statistics, 2026. Cites: paper

Medical Reasoning With Large Language Models: A Systematic Review and Evaluation
Xiaohan Ren, Chenxiao Fan, Wenyin Ma et al. iNew Medicine, 2026. Cites: paper

Artificial Intelligence in Clinical Decision-Making: A Comprehensive Review of Diagnostic, Prognostic, and Therapeutic Applications, Validation Gaps, Bias, and Deployment Challenges
Saurabh S Patil, Gaurav Kumar Jha, Naveed Mohsin et al. Cureus, 2026. Cites: paper

Differentially Private and Explainable Federated Learning for ICU Mortality Prediction
Shabash Shaik, M. Nageswararao, Kondragunta Rama Krishnaiah. International Conference on Secure Cyber Computing and Communications (ICSCCC), 2026. Cites: paper

Estimating the dose–response relationship between first-24-h mean arterial pressure and ICU mortality in patients receiving norepinephrine: a GPU-assisted causalEGM analysis
Yoonjin Kang, Seung Min Song, Ji Eun Kim et al. The Journal of Supercomputing, 2026. Cites: paper

Toward trustworthy digital healthcare: A system-level convergence of IoMT, large language models, and explainable AI
Maria Bashir, Shaker El–Sappagh, Simon S. Woo et al. Information Fusion, 2026. Cites: paper

Hierarchical federated learning with paillier encryption: synergistic approach for secure analytics of sensitive healthcare data
Saeed Iqbal, Xiaopin Zhong, Muhammad Attique Khan et al. Expert Systems with Applications, 2026. Cites: paper

Multi-scale temporal fusion transformer with adaptive uncertainty quantification for EHR-based infectious disease prognosis
Yassin Ben Youssef, Asma Amdouni, Amit Chhabra et al. International Journal of Machine Learning and Cybernetics, 2026. Cites: paper

Impact of hemoglobin glycation index and stress hyperglycemia ratio on short-term mortality in critically ill patients with heart failure: a retrospective cohort study using the MIMIC database
Min He, Lingyan Lei, Siyu Ren et al. Nutrition Metabolism and Cardiovascular Diseases, 2026. Cites: paper

Debiased medication recommendation through fusing frequent pattern and temporal medical records
Xiaobo Li, Xiaodi Hou, Simiao Wang et al. Neural Networks, 2026. Cites: paper

External Validation, Recalibration, and Extension of a Prediction Model of Early Acute Kidney Injury in Critically Ill Children Using Multicenter Data
Adam C. Dziorny, Stephen Drury, Alex Clark et al. Critical Care Explorations, 2026. Cites: paper

Relational Deep Learning for Clinical Outcomes
Natalija Naseva, Martina Toshevska, Sonja Gievska. International Convention on Information and Communication Technology, Electronics and Microelectronics, 2026. Cites: paper

Labels matter: Incorporating label knowledge into dual branch knowledge distillation framework for long-tailed ICD code assignment
Linkun Cai, Haijun Niu, Han Lv et al. Information Processing & Management, 2026. Cites: paper

Phenotype discovery and mortality prediction in sepsis-induced myocardial dysfunction: a deep learning and stratified modeling approach
Yan Zhuang, Xin-yuan Zhang, Da-cheng Wang et al. BMC Medical Informatics and Decision Making, 2026. Cites: paper

Adaptive ETL Orchestration for Biomedical Data Streams Using Reinforcement Learning
Bogdan Nicuşor Bindea, Calin Ovidiu Cenan, Gratiana Hermann et al. IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), 2026. Cites: paper

ATBiGRU: an interpretable temporal model for in-hospital mortality prediction in acute kidney injury
Y Anita Li, Shuaishuai Li, Xia Wang. Computer Methods in Biomechanics & Biomedical Engineering, 2026. Cites: paper

Hyperbaric oxygen in the artificial intelligence era: integration and innovation
Francisco Epelde. Medical Gas Research, 2026. Cites: paper

Medical text generation and classification using large language models: A feasibility study in ophthalmology
Trixy Meyer, Tobias Schlosser, Sara Moniri et al. Engineering Applications of Artificial Intelligence, 2026. Cites: paper

Disease and Health Surveillance in Companion Animals Using Artificial Intelligence and Machine Learning
Peter‐John M. Noble, Sean Farrell. Veterinary Clinics of North America Small Animal Practice, 2026. Cites: paper

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