Cited by
MIMIC-III Waveform Database Matched Subset (v1.0)
7929 publications cite any version of this project or its primary paper, newest first.
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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 -
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 -
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 -
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 -
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 -
HHGCN-DrugRec: Hierarchical HyperGraph Convolution Network for Drug Combination Recommendation
Zihan Zhang, H J Liu, Tianqi Sun et al. Lecture notes in computer science, 2026. Cites: paper -
Human-Centric Medical Summarization with Hybrid Generative AI: A New Era for Accessible Healthcare Insights
M. Pavithra, B Varunkrishna, J Umamageswaran et al. Springer eBooks, 2026. Cites: paper -
Hybrid Generative AI Framework for Medical Text Summarization: Enhancing Precision and Relevance in Healthcare Decision-Making
Parvathy K.S, J Umamageswaran. Springer eBooks, 2026. Cites: paper -
Integrating cross-view multi-scale perception and RAG-enabled expert fusion for medical prediction
Cheng Wang, Yongbin Liu, Ying Yu et al. AI Open, 2026. Cites: paper -
Introduction to Health Data Engineering
Janusz Wojtusiak. Springer handbooks, 2026. Cites: paper -
Large language models in healthcare and biomedical informatics: A comprehensive review
Andrew M. Hornback, Harinishree Sathu, Kyungbeom Kim et al. Innovation and Emerging Technologies, 2026. Cites: paper -
Learning Reversible Bidirectional Mappings on Lower-Dimensional Manifolds Using Cycle Autoencoders
Shahbaz Nazami, Udit Satija, Jimson Mathew. IEEE Transactions on Instrumentation and Measurement, 2026. Cites: paper -
LLM-Based Abstractive Summarization of PubMed Articles
Eric Ho, Maryam Heidari, Samira Zad et al. Lecture notes in electrical engineering, 2026. Cites: paper -
Machine learning-based prognostic models for hypertensive acute response for stroke patients in intensive care units and emergency departments
Mariem Abid, Philippe A. Jouvet, Elyes Oueslati et al. Elsevier eBooks, 2026. Cites: paper -
Machine learning for healthcare
Jyoti Kukreja, Ramesh Chandra Poonia. Advances in computers, 2026. Cites: paper -
Managerial imperatives for health–security information sharing: Balancing confidentiality and utility amid a deepening interface
Ayako Takemi. Politics and the Life Sciences, 2026. Cites: paper -
Managing Model Evolution from NoSQL Data Lakes to Decision Support Systems
Saïd Taktak, Zoubair Mabrouk, Slim Kallel et al. Lecture notes in computer science, 2026. Cites: paper -
Mapping Clinical Intent in Internet Hospitals: Identifying and Profiling Patient Demand via Natural Language Processing
Ruoxin Xu, Jing Liu, Huizi Ye et al. Computational and Structural Biotechnology Journal, 2026. Cites: paper -
Mapping Higher Education Research in Malaysia and Singapore (2014–2024): A Bibliometric Analysis Through the Research–Policy–Practice Lens
Shuo Wu, R. B. Radin Firdaus, Yinghui Wang et al. SAGE Open, 2026. Cites: paper -
MedFusion-GPT: A Multimodal Generator Combining GPT-2 and BioGPT for Clinical Report Synthesis
Hamida Abdaoui, Sabri Barbaria, Taha Ridene et al. Procedia Computer Science, 2026. Cites: paper -
MIMIC-IV ICU Risk Stratification: A Dual-Stage Predictive Model for Short and Long-Term Patient Outcome Prediction
Neetesh Jatav, Vibha Tiwari, Aryan Singh. Lecture notes in networks and systems, 2026. Cites: paper -
MMFC-PFL: Multimodal Feature Collaborative Personalized Federated Learning
Dongdong Li, Zhenqiang Weng, Jia Yao et al. IEEE Transactions on Network Science and Engineering, 2026. Cites: paper -
Modeling Complex Short EHR Visits With xLSTM and Medical Entity Enhancement for Medication Recommendation
Qingchuan Xu, Kai Che, Jiafeng Li et al. IEEE Access, 2026. Cites: paper -
Modularity encoding: A network-based approach for representing healthcare coding systems in machine learning models
Mohsen Askar, Kristian Svendsen. Elsevier eBooks, 2026. Cites: paper -
Multimodal Artificial Intelligence for Precision Critical Care: A Scoping Review
Meicheng Yang, Nan Shi, Hui Chen et al. Health Data Science, 2026. Cites: paper -
Multimodal Drug Recommendation with Quantum Chemical Molecular Representations
Yujin Kim, Seoeun Park, Chongmyung Kwon et al. Lecture notes in computer science, 2026. Cites: paper -
Natural Language Processing of Clinical Data
Kevin Lybarger, Özlem Uzuner, Giridhar Kaushik Ramachandran et al. Springer handbooks, 2026. Cites: paper -
Optimizing DAG Scheduling in Data Pipelines Using Reinforcement Learning
Sai Sukesh Reddy Tummuri. Lecture notes in networks and systems, 2026. Cites: paper -
Overview of CHIP 2025 Shared Task 2: Discharge Medication Recommendation for Metabolic Diseases Based on Chinese Electronic Health Records
Juntao Li, Haobin Yuan, Ling Luo et al. Communications in computer and information science, 2026. Cites: paper -
Parameter-Efficient Tuned LongFormer for Diagnostic Code Classification Based on Unstructured Clinical Reports
Reshma Unnikrishnan, S. Sowmya Kamath, V. S. Ananthanarayana. Lecture notes in networks and systems, 2026. Cites: paper -
Pathophysiological Mechanisms of Early-Onset Type 2 Diabetes Mellitus Complicated with Hypertension and the Potential Prognostic Value of Clinical Indicators
Lingyan Hu, Wen Zhong. Journal of Biosciences and Medicines, 2026. Cites: paper -
PheCode-guided multi-modal topic modeling of electronic health records improves disease incidence prediction and GWAS discovery from UK Biobank
Ziqi Yang, Ziyang Song, Shadi Zabad et al. Briefings in Bioinformatics, 2026. Cites: paper -
Phenotype Identification in Pseudo-Time Series: Exploring Trajectories in the Ageing Process
Barbara Puccio, Allan Tucker, Pierangelo Veltri. Communications in computer and information science, 2026. Cites: paper -
PHRF-Net: An Interpretable Deep Learning Approach for Early Prediction of Hypoxemic Respiratory Failure After Cardiac Surgery
Jianbo Zhang, Yanhu Ge, Qing Zhao et al. Communications in computer and information science, 2026. Cites: paper -
PiSO: Pipelined Selection Optimization Framework for Preprocessed Data and DL Models on ABP Estimation Using MIMIC-IV
Aruzhan Suleimenova, Barrett London Burgess, Jaemin Choi et al. IEEE Access, 2026. Cites: paper -
Predictive Analytics for Cardiovascular Disease Risk Using Electronic Health Records (EHRs)
M. Jeya Sudha, D. Rajesh. Studies in systems, decision and control, 2026. Cites: paper -
Privacy Meets Retrieval: The Performance Consequences of De-Identification in Retrieval-Augmented Generation
Yuxin Geng, Xuan Bi, Liu De. SSRN Electronic Journal, 2026. Cites: paper -
Privacy-Preserving ETL Pipelines for Sensitive AI Systems: A Dual-Domain Evaluation Using Differential Privacy
Nandagopal Seshagiri, Pavan Nutalapati, Rakesh Keshava et al. Communications in computer and information science, 2026. Cites: paper -
Privacy Protection in Recommender Systems and Mobile Crowd Sensing Using PrivFusion
Ami Choksi, Ravi M. Gulati. Lecture notes in networks and systems, 2026. Cites: paper -
Secure Cloud Architecture for Privacy-Preserving Machine Learning on Electronic Health Records with Web-Based Analytics Tools
Ravi Shankar Garapati, Avinash Reddy Aitha, Sneha Singireddy. Lecture notes in computer science, 2026. Cites: paper -
Self-supervised Hierarchical Representation for Medication Recommendation
Yuliang Liang, Yuting Liu, Yizhou Dang et al. Lecture notes in computer science, 2026. Cites: paper -
Semantic Mediation Method Based on Natural Language Processing for Interoperability of Heterogeneous Software Systems
А. A. Selivanov, Дмитрий Валерьевич Жевнерчук, A. D. Surkov et al. Lecture notes in electrical engineering, 2026. Cites: paper -
Split federated learning: an enhanced collaborative learning algorithm for ResourceLimited 6G contexts
Lakhdar Kamel Ouladdjedid, Mohammed Kamel Benhaoua. Elsevier eBooks, 2026. Cites: paper -
Stress Hyperglycemia Ratio as a Predictor of All-Cause Mortality in Patients With Non-Traumatic Intracerebral Hemorrhage: From the MIMIC-IV Database
Qianmiao Zhu, Zhichao Chen, Weiqi Bian et al. Clinical and Applied Thrombosis/Hemostasis, 2026. Cites: paper -
Synthetic Disease Trajectories for Predicting Chronic Kidney Disease Post-diabetes Onset
Víctor de la Oliva, David Philip Kreil, Joaquı́n Dopazo et al. Lecture notes in computer science, 2026. Cites: paper -
Task-Window Validity of Pre-Induction Arterial Pressure for Hypotension Modeling in VitalDB
Ge Gao. IEEE Access, 2026. Cites: paper
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.