Publications citing MIMIC-III Clinical Database Demo v1.4

Leveraging Natural Language Processing for Symptom Identification in Acute Myeloid Leukemia Using Clinical Notes from Electronic Health Records
Sena Chae, Jaewon Bae, Pratik Maitra et al. Cancer Nursing, 2026. Cites: paper

Cognitive Autonomous Memory Security (CAMS) against injection and extraction attacks in long-term memory of AI agents
T Dhivyasree, S Saravanan, Arun Kumar Ramamoorthy et al. Egyptian Informatics Journal, 2026. Cites: paper

MediCARE: Medical Collaborative Agents REasoning over Interpretable Heterogeneous Graphs
Antonino Ferraro, Antonio Galli, Valerio La Gatta et al. Artificial Intelligence in Medicine, 2026. Cites: paper

Active Learning Strategies for Imbalanced Clinical Note Categories in ICU Mortality Prediction
Mina Afzali, Mohsen Kahani, Maryam Karrabi et al. International Interdisciplinary Conference on Artificial Intelligence: Engineering, Health, Finance and Humanities (IICAI), 2026. Cites: paper

Approximating Optimal Soft Repairs for Denial Constraints
Zizheng Guo, Pengyu Chen, Jianwei Yang et al. IEEE Transactions on Knowledge and Data Engineering, 2026. Cites: paper

Deep Learning for Stroke Mortality Prediction in eICU: A Dual-Tower Transformer Framework
Zhengrong Jia, Kwong-Cheong Wong. International Conference on Computer Communication and Artificial Intelligence (CCAI), 2026. Cites: paper

Intracranial Pressure Prediction Using Phase-Aligned Multimodal Physiological Signals and Multi-Scale Temporal Modeling
Rui Wang, Cai Li. IEEE Data Driven Control and Learning Systems Conference (DDCLS), 2026. Cites: paper

SaCal: An Efficient Saliency-Guided Causal Framework for Interpretable Healthcare Analytics
Feixuan Lin, Chenyu You, Zhongle Xie et al. IEEE International Conference on Data Engineering (ICDE), 2026. Cites: paper

Training Strategies for Imbalanced Single-Task and Multitask Electrocardiogram Classification
Joshua Tiffany, Qi Zhang. Conference proceedings - Canadian Conference on Electrical and Computer Engineering, 2026. Cites: paper

Federated Learning for Privacy-Preserving Healthcare Data Analytics
Tintu George. International Journal of Information Technology Research Studies (IJITRS), 2026. Cites: paper

FFDM-GAT-transformer: a fast FDM-based graph-attention and transformer framework for cuffless blood pressure estimation using PPG signal
Pankaj ., Pratibha Maan, Manjeet Kumar. Measurement, 2026. Cites: paper

The Role of Artificial Intelligence in the Diagnosis and Prognosis of Heart Diseases: A Systematic Review
Enoc Tapia-Mendez, Irving Armando Cruz-Albarrán, Saúl Tovar‐Arriaga et al. AI, 2026. Cites: paper

A hybrid Markov chain and AI approach for mining frequent multidimensional Temporal Association Rules
Wafa Tebourski. Intelligence in Business and Industry (IBI), 2026. Cites: paper

AI-Based Clinical Decision Support Framework for Health Report Visual Analytics
Gajalakshmi N, Harishmi R, Lishiga T. International Research Journal on Advanced Engineering Hub (IRJAEH), 2026. Cites: paper

Large Language Models for Explainable Medical Text Summarization: A Systematic Literature Review
Aleka Melese Ayalew, Md Rabiul Hasan, Tapio Seppänen et al. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, 2026. Cites: paper

NATURAL LANGUAGE PROCESSING UNTUK EKSTRAKSI INFORMASI ADVERSE DRUG REACTIONS DARI ELECTRONIC HEALTH RECORDS: SYSTEMATIC REVIEW
Irvan Pramanta Andika I Gede, Riska Wiradarma, Dody May Arfian. Journal Pharmactive, 2026. Cites: paper

Distributed Learning for ICU Length-of-Stay Prediction: A Comparative Study of FedAvg vs D-PSGD Using MIMIC-IV
H. Ridhwan, K Hassan, H Hashim. IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE), 2026. Cites: paper

A Hybrid Deep Learning Model Combining Tabular Transformers and Temporal Convolutional Network for Sepsis Prediction
Sona G, Anitha D., Narmatha B. Journal of Innovative Image Processing, 2026. Cites: paper

A machine learning-based prediction model for in-hospital mortality in ICU patients with acute rhinosinusitis: A multi-database study using SHAP interpretability
Manxiang Sun, L Wang, Jing Yang. Medicine, 2026. Cites: paper

Assessing the albumin–bilirubin score’s role in predicting the mortality rate of severe acute pancreatitis: A multicenter retrospective cohort study
Baiyan Xu, Huizhong Chen, Tingting Xu et al. Medicine, 2026. Cites: paper

CM-CGNS: Cross-modal clustering-guided negative sampling for self-supervised joint learning from medical images and reports
Libin Lan, Hongxing Li, Zunhui Xia et al. Expert Systems with Applications, 2026. Cites: paper

From Heuristics to Deep Generative Models: A Critical Review of Protein Sequence Analysis Architectures for Clinical Decision Support Systems (CDSS)
Faezeh Rahimzadeh, Leyli Mohammad Khanli, Pedram Salehpour et al. Expert Systems with Applications, 2026. Cites: paper

Predictive Analytics of Lifestyle Cardiovascular diseases for Early Risk Identification using AI/ML
Vaishnavi M. Sarad, Mahendra Pund, Dhiraj P. Tulaskar. International Conference on Innovations in Communication, Geoscience and Robotics (ICICGR), 2026. Cites: paper

Reinforcement and federated learning for privacy-preserving glucose regulation: A review
Sherif Abdelfattah, Rahul Biswa Karma, Rohit Biswa Karma et al. Artificial Intelligence in Health, 2026. Cites: paper

Underrepresentation of children in public medical imaging datasets
Stanley Bryan Z. Hua, Nicholas Heller, Ping He et al. Nature Health, 2026. Cites: paper

AI-driven Natural Language Processing and Stochastic Modeling for Transforming Unstructured Electronic Health Records into Structured Clinical Data
Philip Melo, Marie Rose, Mildred Jackson et al. American Journal of Life Sciences, 2026. Cites: paper

Beyond antimicrobials: a host-directed precision pharmacotherapy framework for septic shock
Xian-zhi Cheng, J Li, Ping An et al. Frontiers in Medicine, 2026. Cites: paper

Decoding the multimodal maze: A systematic review on the adoption of explainability in multimodal attention-based models
Md. Raisul Kibria, Sébastien Lafond, Janan Arslan. Information Fusion, 2026. Cites: paper

MANNERS: A strategy for representation learning in multivariate datasets with high proportions of missing data
Louis Bellmann, Maximilian Nielsen, Philipp Breitfeld. Patterns, 2026. Cites: paper

Adaptive physiological subspace reorganization and hemodynamic feature encoding for cuffless blood pressure estimation from photoplethysmography
Qingxin Zhao, Zexing Zhang, Huimin Lu. Digital Signal Processing, 2026. Cites: paper

AI-Driven Deep Learning Model for Photoplethysmography (PPG) Signal Analysis and Early Cardiovascular Disease Detection
J Jerome Julian, R S Rethees Raamm, Ashokan Praveen et al. International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI), 2026. Cites: paper

A Systematic Review of Machine Learning Techniques for Cardiovascular Disease Prediction With Performance Analysis and Future Perspectives
Payalben R Kasundra, Vaseem J Ghada. Cureus Journal of Computer Science., 2026. Cites: paper

Big data integration for enhanced epidemiological research: insights and directions from NHLBI's workshop
Md Mobashir Hasan Shandhi, Joseph Coresh, Jessilyn Dunn et al. Frontiers in Digital Health, 2026. Cites: paper

Clinical document metadata extraction: A scoping review
Kurt Miller, Qiuhao Lu, William Hersh et al. Journal of Biomedical Informatics, 2026. Cites: paper

Hybrid early warning model for autonomous physiological monitoring with a minimal sensor set
Yurii Myroshnyk, Олександр Борисович Лещенко. Aerospace technic and technology, 2026. Cites: paper

HybridICDNet: Standardized Preprocessing and Systematic Benchmarking for Admission-Level ICD-9 Prediction in Clinical NLP
Chirag H. Bhatt, Sidheswar Routray, Dharmesh Shah. International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI), 2026. Cites: paper

A Dataset of Robot-Patient and Doctor-Patient Medical Dialogues for Spoken Language Processing Tasks
Heriberto Cuayáhuitl, Grace Jang. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

Beyond Benchmark Accuracy: Toward Clinically Trustworthy AI for Biomedical Signals
Jinan Charafeddine, Taha Houda, nada salman et al. International Conference on Artificial Intelligence, Systems, and Emerging Technologies (ICAISET), 2026. Cites: paper

CARE-Agent: Multi-Agent Collaboration with Conflict-Aware Routing Mechanism for Diagnosis Prediction
Pengxiang Zhan, Binteng Cai, J Zhang et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

CoFE: A Framework Generating Counterfactual ECG for Explainable Cardiac AI-Diagnostics
Jong-Hwan Jang, Junho Song, Yong‐Yeon Jo. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

Feasibility of Ectopic Beat Detection and Count Estimation from Smartwatch-Based Photoplethysmography
Baiying Lu, Quan Dong, Sharanya Arcot Desai et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

Improving Radiology Report Error Detection Using a Multipass Large Language Model: Framework Development and Validation
Songsoo Kim, Seungtae Lee, See Young Lee et al. JMIR Medical Informatics, 2026. Cites: paper

Patient Journey Modeling Through Multi-Modal Even Fusion for Early ICD Coding
Pierre-Adrien Carnelutti, Hamed Behzadi-Khormouji, Abel Díaz Berenguer et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

Probabilistic Graphical Modeling for Biomedical Signal Completion with Non-Random Missingness on Patient Networks
Dinghao Xue, Wei Dong Lu. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

SHARK: Modeling Semantic Hierarchy of Medical Code via Residual K-Means Quantization
Kaisong Zhang, Hang Lv, Yanchao Tan et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

SpikeBP: Efficient Spike-Driven Transformer for Blood Pressure Waveform Generation with Frequency Knowledge Distillation
Zixuan Huang, Zi Wang, Weixiu Qiu et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

Automated Prediction of Glasgow Coma Scale Scores From Unstructured Electronic Health Records Using Natural Language Processing: Development and Validation Study
Marta P. Fernandes, Niels Turley, Haoqi Sun et al. Journal of Medical Internet Research, 2026. Cites: paper

Continuous-Time Counterfactual Quantile Learning for Risk-Sensitive Policy Optimization
Yi He, Anpeng Wu, Ruoxuan Xiong et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026. Cites: paper

Predicting acute kidney injury in adults after cardiac surgery with a novel clinical metric: The cardiac diuretic-responsiveness index
Michael Tyler Guinn, Travis J Miles, Daniel T. Engelman et al. JTCVS Open, 2026. Cites: paper

The role of triglyceride-glucose (TyG) index in predicting mortality risk in critically ill patients with sepsis: a machine learning model in a cohort study
Shuo Li, Zibo Wu, Meijun Jia et al. BMC Medical Informatics and Decision Making, 2026. Cites: paper

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