Publications citing MIMIC-III Clinical Database Demo v1.4

Artificial Intelligence in Medical Informatics: From Algorithms to Clinical Practice—A Survey
Yu-Fan Luo, Dechao Bu, Yang Wu et al. Journal of Computer Science and Technology, 2026. Cites: paper

Artificial intelligence in predicting adverse drug reactions, surgical outcomes, and radiotherapy responses
Sukanya Samanta, Ilma Bano, Akhil Gudladona et al. Elsevier eBooks, 2026. Cites: paper

A Secure Priority‐Adaptive Federated Learning Framework for Multimodal IoT Data Fusion in Real‐Time Edge Environments
Laxman Kisan Lonkar, Balakrishnan Malarkodi, Adarsh Kumar et al. International Journal of Distributed Sensor Networks, 2026. Cites: paper

Association Between Central Venous Pressure and 30‐Day Postoperative Outcomes After Cardiopulmonary Bypass: A Retrospective Observational Study
Xiang Gao, Zhanyu Xu, Lin Liao et al. International Journal of Clinical Practice, 2026. Cites: paper

Association rule mining leverage in biomedical text engineering for streamlined PC-PNDT enforcement
Vaishali M. Kumbhakarna, Sonali B. Kulkarni. Research Connections, 2026. Cites: paper

Augmenting AI with Context: Hybrid Generative Models for Summarizing Complex Medical Texts
M. Pavithra, Umamageswaran Jambulingam. Springer eBooks, 2026. Cites: paper

AutoML-Driven Feature Engineering in Structured and Semi-structured Enterprise Data
Sai Sukesh Reddy Tummuri. Smart innovation, systems and technologies, 2026. Cites: paper

Beyond Static Agents: A Six-Dimensional Taxonomy and Survey of Self-Evolving LLM Agents for Healthcare
Shubham Vatsal, Harsh Dubey, Ahsaas Bajaj. IEEE Access, 2026. Cites: paper

Bridging Healthcare Gaps: Machine Learning Solutions for Cardiovascular Disease in Low-Resource Settings
Md Mahmudul Haque, Kamrul Golder, M. Raihan. Information systems engineering and management, 2026. Cites: paper

CardioMex-Q: A Clinical Dataset for Cardiovascular Health Studies in Mexico
Mariana Avila-Ponce, Sarahi Rodríguez‐González, Eliodoro Castro Montes et al. Lecture notes in networks and systems, 2026. Cites: paper

Causal Inference for Observational Studies: Deep Learning Approaches to Counterfactual Generative Modeling
Seema Singh Saharan, Mary Malloy, John P. Kane. Communications in computer and information science, 2026. Cites: paper

ClinEX: A Multimodal Graph Attention Framework with Human-in-the-Loop Explainability for Accurate Medication Recommendation in Intensive Care
Sarra Laaouar, Nacim Yanes, Sihem Ben Sassi. Procedia Computer Science, 2026. Cites: paper

CNN-FCN-LSTM Based Multimodal Framework for Disease Diagnosis Using Medical Imaging, EHR, and ECG Signals
Shatrunjay Kumar, Devshree Babhale, Vedant Shah et al. Lecture notes in networks and systems, 2026. Cites: paper

Combining Unstructured and Structured Clinical Data in a Hybrid Transformer Model to Enhance Cardiovascular Analytics and Clinical Decision-Making
Kalyani Neve, Padma Mishra, Karishma Chaudhari. International Journal of Bioinformatics and Computational Biology., 2026. Cites: paper

Comparative Analysis of Machine Learning Algorithms for Predicting Creatinine Levels from Blood Parameters
Dounia El Moujtahide, E. Sebbar, Abdelmounaim Kerkri et al. Lecture notes in networks and systems, 2026. Cites: paper

Comparison of Imputation Strategies for Incomplete Electronic Health Data
Shuo Zhang, Zhilong Zhang, Yuxi Zhou et al. Health Data Science, 2026. Cites: paper

Confidence Interval Construction for Causally Generalized Estimates With Target Sample Summary Information
Yi Chen, Guanhua Chen, Menggang Yu. Statistics in Medicine, 2026. Cites: paper

Construction of a Mortality Prediction Model for Cardiac Arrest Patients Using Lactate Clearance Rate and Albumin‐Corrected Anion Gap
Yani Gao, Sheng Bi, Haoran Li et al. Emergency Medicine International, 2026. Cites: paper

Correlation Aware Imbalanced Multimodal Fusion in IoT Environment
Wenxiao Zhang, Yuze Huang, Qianxi Li et al. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2026. Cites: paper

Deep Learning Techniques for the Detection of Atrial Fibrillation Using Photoplethysmography (PPG) Signals
Mamta Arora, Jampala Dinesh Chowdary, Badipadaga Yashwanth Reddy et al. Lecture notes in networks and systems, 2026. Cites: paper

Descriptor: Invasive Blood Pressure With Multimodal Physiological Signals During Ergometer Exercise Dataset (ErgoBP)
Filip Emil Schjerven, Torjus L. Steffensen, Frank Lindseth et al. IEEE data descriptions., 2026. Cites: paper

Development and validation of an online machine-learning tool for predicting delirium risk in older adults with type 2 diabetes: A retrospective cohort study based on the MIMIC-IV database
Lang Gao, Guangdong Wang, Xingyi Yang et al. Science Progress, 2026. Cites: paper

DifferentiableHMM: Neural Differentiable Hidden Markov Model
Arbia Boudaoud, Salheddine Kabou. ITEGAM- Journal of Engineering and Technology for Industrial Applications (ITEGAM-JETIA), 2026. Cites: paper

Differentially Private RL for ICU Decision Support: A Comparative Analysis
Rakesh Batchala, Priyank Jain, Manasi Gyanchandani et al. Lecture notes in networks and systems, 2026. Cites: dataset

DITS: Double Imputation for Enhanced Irregular Multivariate Time Series Classification
Shilong Deng, Hongting Qu, Zhenkun Wen et al. Communications in computer and information science, 2026. Cites: paper

Domain generalization and adaptation in intensive care with anchor regression
Malte Londschien, Manuel Burger, Gunnar Rätsch et al. RSS Data Science and Artificial Intelligence, 2026. Cites: paper

Domain Transfer of Generative AI for Estimating Electrophysiological Changes Through Hemodynamic Variations in Optical Blood Flow: Potential and Performance Evaluation Methodology
Sanghoon Choi, SungJun Hong, Hyo-Chang Seo. IEEE Access, 2026. Cites: paper

Dual-Branch Fusion Neural Network Model: A Preliminary Demonstration of Absolute, Calibration-Free Blood Pressure Estimation from ECG and PPG Signals
Federico Delrio, Vincenzo Randazzo, Giansalvo Cirrincione et al. Smart innovation, systems and technologies, 2026. Cites: paper

Dual-Level Contrastive Learning for Patient Condition Representation with Multimodal Electronic Health Records
Bohao Li, Yan Gong, Bowen Du et al. Lecture notes in computer science, 2026. Cites: paper

EHR Innovations: Shedding Light on Anemia in the Healthcare Paradigm
Proma Mondal, Souhardya Das, Shambhab Chaki et al. Lecture notes in networks and systems, 2026. Cites: paper

Empirical Research on Petri Nets
Jan Mendling, Benoît Depaire, Henrik Leopold. Lecture notes in computer science, 2026. Cites: paper

Enhanced Heart Disease Diagnosis Using Feature Selection and Machine Learning Approaches
Santosh Kumar, Debabrata Singh, Surajit Mohanty et al. Lecture notes in electrical engineering, 2026. Cites: paper

Enhancing Clinical Prediction via Synthetic Tabular Data Generation Using Deep Generative Models
Zareen Alamgir, M Asad Bin Hameed, Haroon Mahmood et al. IEEE Access, 2026. Cites: paper

Enhancing Electronic Health Records Annotation with a Cluster-Focused Combination Algorithm and Interface Terminologies
Shuxin Zhou, Mahshad Koohi H. Dehkordi, Wei Yao et al. Communications in computer and information science, 2026. Cites: paper

Enhancing Large Language Models for Medical Diagnosis in Pulmonology
Rima Jemni, Rahma Boujelben, Lamia Hadrich Belguith. Lecture notes in business information processing, 2026. Cites: paper

Explaining Medical Time Series Classification Through Boundary-Aware Feature Analysis
Christel Sirocchi, Damiano Verda. Communications in computer and information science, 2026. Cites: paper

Exploring an Adaptive Framework for Accurate Personalized Cuff-Less Blood Pressure Tracking
Yumin Li, Xiangyu Zhang, Ling Li et al. IEEE Transactions on Instrumentation and Measurement, 2026. Cites: paper

Fairness-Aware Federated Learning Framework for ICU Mortality Prediction
Samar Hussni Anbarkhan. IEEE Access, 2026. Cites: paper

FA-Transformer-MRMR: A Hybrid Feature Selection Framework Combining Firefly Algorithm, Transformer Networks, and Minimum Redundancy Maximum Relevance for Medical Data Analysis
Preethi K R, Dr. Ramakrishnan M. International Journal of Artificial Intelligence and Machine Learning, 2026. Cites: paper

Federated AI for Mental Health: A Privacy-Preserving GAN-LLM Framework for Risk Prediction and Early Detection
Naledi Portia Thothela, Antoine Bagula. Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research, 2026. Cites: paper

Federated Learning Implementation for Clinical Mortality Prediction Models in Intensive Care Units: Multi-institutional Simulation Study
Jorge Alberto Valle-Reconco, Yolly Molina, Patricia Soriano. LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI), 2026. Cites: paper

Federated Learning in Healthcare Finance: A Systematic Review of Privacy-Preserving Models
Manika Garg, Sunitaa Tank, Bharat Kumar Tank. Studies in computational intelligence, 2026. Cites: paper

FedMedNet: A Federated Privacy-Preserving Framework for Multi-Modal EHR-Based Clinical Outcome Prediction
Rekha R Nair, T Lokesh Babu, Deepika Nayak. Procedia Computer Science, 2026. Cites: paper

Fine-Tuning BART for Multi-label ICD-9 Prediction from Clinical Discharge Summaries
Ch Geethika Gayatri, P. Lavanya, S. Manvitha Reddy et al. Lecture notes in networks and systems, 2026. Cites: paper

Fractal Multiscale Early Warning System for Clinical Deterioration in Critical Care
Stergios Pellis. SSRN Electronic Journal, 2026. Cites: paper

From Static to Dynamic: GNNs-Driven Clinical Decision-Making Assistance
Shiyi Lin, Zirui Zhuang, Qi Qi et al. Lecture notes in computer science, 2026. Cites: paper

Generalizing Intensive Care AI across Time Scales in Resource-Limited Settings
Akshaya Devadiga, Pradeep Singh, Jhuma Sankar et al. SSRN Electronic Journal, 2026. Cites: paper

Generativna AI za desetogodišnje predviđanje multimorbiditeta - metodološka studija zasnovana na javno dostupnim i sintetičkim podacima
Marko Kimi Milić, Šćepan Sinanović, Dejan Kostić et al. Medicinski glasnik Specijalne bolnice za bolesti štitaste žlezde i bolesti metabolizma, 2026. Cites: paper

GE-SHAP: A Causally-Informed Explainable Framework for Trustworthy ICU Medication Recommendation
Mayssa Kilani, Nacim Yanes, Sihem Ben Sassi. Procedia Computer Science, 2026. Cites: paper

HEADS: Temporal Observation Density Boosts Irregular Multivariate Time Series Forecasting
Yimian Hu, Jin Zhou, Bin Lu et al. Lecture notes in computer science, 2026. Cites: paper

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