Publications citing MIMIC-III Waveform Database v1.0

Transformative role of artificial intelligence in healthcare robotics
Aniket Kailas Shahade, Priyanka V. Deshmukh. Elsevier eBooks, 2025. Cites: paper

Unlocking Clinical Narrative Text for Secondary Clinical Usage
Lena AlMutair, Eric Atwell, Nishant Ravikumar. Lecture notes in networks and systems, 2025. Cites: paper

Unraveling Complex Temporal Patterns in EHRs via Robust Irregular Tensor Factorization.
Ren Yifei, Linghui Zeng, Jian Lou et al. Europe PMC (PubMed Central), 2025. Cites: paper

Using Ensemble and Multi-Model Learning to Predict Longitudinal Hospitalization of Cardiovascular Patients and Warn of Pandemic Risks: A Retrospective Cohort Study with External Validations
Chengbo Fu, Zhe Zheng, Xiaoyan Yin et al. Research Square, 2025. Cites: paper

Using Pseudo-Synonyms to Generate Embeddings for Clinical Terms
Santosh Purja Pun, Oliver Obst, Jim Basilakis et al. Lecture notes in computer science, 2025. Cites: paper

Vertical Federated Learning Across Second-Hop Parties
Zikai Dou, Fei Chiang. Lecture notes in computer science, 2025. Cites: paper

A Review of Applying Large Language Models in Healthcare
Qiming Liu, Ruirong Yang, Qin Feng Gao et al. IEEE Access, 2024. Cites: paper

Boundary-enhanced time series data imputation with long-term dependency diffusion models
Chunjing Xiao, Xue Jiang, Xianghe Du et al. Knowledge-Based Systems, 2024. Cites: paper

Machine Learning and Medical Data: Predicting ICU Mortality and Re-admission Risks
Ulya Bayram, Runia Roy. Journal of Advanced Research in Natural and Applied Sciences, 2024. Cites: paper

Predicting Sepsis Onset with Deep Federated Learning
Lena Mondrejevski, Daniel Azzopardi, Ioanna Miliou. Communications in computer and information science, 2024. Cites: paper

Towards Automatically Refining Low-Quality Domain Knowledge: A Case Study in Healthcare
Pawel Bielski, Sönke Jendral, Lena Witterauf et al. Communications in computer and information science, 2024. Cites: paper

An artificial intelligence application to predict prolonged dependence on mechanical ventilation among patients with critical orthopaedic trauma: an establishment and validation study
Weigang Jiang, Tao Liu, Baisheng Sun et al. BMC Musculoskeletal Disorders, 2024. Cites: paper

Heart Health Detector GPT Based on GPT-4o Model
Neha Bansal, Bhawna Singla. Automation Control and Intelligent Systems, 2024. Cites: paper

Intelligent algorithms powered smart devices for atrial fibrillation discrimination
Liping Xie, Lindong Wang, Dongze Mo et al. Biomedical Signal Processing and Control, 2024. Cites: paper

Advancing cuffless arterial blood pressure estimation: A patient-specific optimized approach reducing computational requirements
José A. González‐Nóvoa, Laura Busto, Silvia Campanioni et al. Future Generation Computer Systems, 2024. Cites: paper

A perspective on individualized treatment effects estimation from time-series health data
Ghadeer O. Ghosheh, Moritz Gögl, Tingting Zhu. Journal of the American Medical Informatics Association, 2024. Cites: paper

Association between anion gap/calcium ratio and 30-day all-cause mortality in sepsis patients with diabetes mellitus
Jing Cai, Lin Pu, Nanbing Yuan et al. Scientific Reports, 2024. Cites: paper

Development and validation of a mortality predictive model for ICU patients with primary pulmonary hypertension
Chaoyong Zhang, Yaoshi Hu, Zhongyuan Meng et al. Scientific Reports, 2024. Cites: paper

The aluminum standard: using generative Artificial Intelligence tools to synthesize and annotate non-structured patient data
Juan Guillermo Diaz Ochoa, Faizan E Mustafa, Felix Weil et al. BMC Medical Informatics and Decision Making, 2024. Cites: paper

Association between BMI and outcomes in critically ill patients: an analysis of the MIMIC-III database
Wenbo Yu, Weiwei Jiang, Jihong Yuan et al. Scientific Reports, 2024. Cites: paper

LieRHRV system for remote lie detection using heart rate variability parameters
Moran Davoodi, Nitay Aspis, Yael Drori et al. Scientific Reports, 2024. Cites: paper

Applications and Future Prospects of Medical LLMs: A Survey Based on the M-KAT Conceptual Framework
Ying Chang, Jianming Yin, Jianmin Li et al. Journal of Medical Systems, 2024. Cites: paper

CARE-SD: classifier-based analysis for recognizing provider stigmatizing and doubt marker labels in electronic health records: model development and validation
Andrew L. Walker, Annie Thorne, Sudeshna Das et al. Journal of the American Medical Informatics Association, 2024. Cites: paper

Embedding dynamic graph attention mechanism into Clinical Knowledge Graph for enhanced diagnostic accuracy
Deng Chen, Weiwei Zhang, Zuohua Ding. Expert Systems with Applications, 2024. Cites: paper

Fast and interpretable mortality risk scores for critical care patients
Chloe Qinyu Zhu, Muhang Tian, Lesia Semenova et al. Journal of the American Medical Informatics Association, 2024. Cites: paper

OmniFuse: A general modality fusion framework for multi-modality learning on low-quality medical data
Yixuan Wu, Jintai Chen, Lianting Hu et al. Information Fusion, 2024. Cites: paper

A comprehensive survey of large language models and multimodal large language models in medicine
Hanguang Xiao, Feizhong Zhou, Xingyue Liu et al. Information Fusion, 2024. Cites: paper

Predicting in-hospital mortality in patients with heart failure combined with atrial fibrillation using stacking ensemble model: an analysis of the medical information mart for intensive care IV (MIMIC-IV)
Panpan Chen, Junhua Sun, Yingjie Chu et al. BMC Medical Informatics and Decision Making, 2024. Cites: paper

Overview of Wearable Healthcare Devices for Clinical Decision Support in the Prehospital Setting
Rachel Gathright, Isiah Mejia, Jose M. Gonzalez et al. Sensors, 2024. Cites: paper

Contextualized Biomedical Language Processing Enhances ICU Survival Prediction
Rui Chen, Yu Ran Cai, S. J. Zhang et al. medRxiv, 2024. Cites: paper

A comprehensive survey of Federated Intrusion Detection Systems: Techniques, challenges and solutions
Ioannis Makris, Aikaterini S. Karampasi, Panagiotis I. Radoglou Grammatikis et al. Computer Science Review, 2024. Cites: paper

Enhancing Diagnostic Accuracy in Bangla: LLM Approaches to Gender Based Medical Specialty Prediction
Refat Ishrak Hemel, Md Asef, Tarikul Islam Tamiti. International Conference on Computer and Information Technology (ICCIT), 2024. Cites: paper

Lessons learned on information retrieval in electronic health records: a comparison of embedding models and pooling strategies
Skatje Myers, Timothy A. Miller, Yanjun Gao et al. Journal of the American Medical Informatics Association, 2024. Cites: paper

MISDP: multi-task fusion visit interval for sequential diagnosis prediction
Shengrong Zhu, Ruijia Yang, Zifeng Pan et al. BMC Bioinformatics, 2024. Cites: paper

Large language models to process, analyze, and synthesize biomedical texts: a scoping review
Simona Emilova Doneva, Sijing Qin, Beate Sick et al. Discover Artificial Intelligence, 2024. Cites: paper

Optimising the paradigms of human AI collaborative clinical coding
Yue Gao, Yuepeng Chen, Minghao Wang et al. npj Digital Medicine, 2024. Cites: paper

Advancements in Mortality Prediction Models for Intensive Care Units: A Review of Various Learning Approaches and Clinical Applications
Sahil Shukla, Savita Gupta, Shilpa Sharma. International Conference on Parallel, Distributed and Grid Computing (PDGC), 2024. Cites: paper

OptimCLM: Optimizing clinical language models for predicting patient outcomes via knowledge distillation, pruning and quantization
Mohammad Junayed Hasan, Fuad Rahman, Nabeel Mohammed. International Journal of Medical Informatics, 2024. Cites: paper

Towards Holistic Disease Risk Prediction using Small Language Models
Liv Björkdahl, Oskar Pauli, Johan Östman et al. International Conference on Machine Learning and Applications, 2024. Cites: paper

Uncertainty-aware automatic TNM staging classification for [18F] Fluorodeoxyglucose PET-CT reports for lung cancer utilising transformer-based language models and multi-task learning
Stephen H. Barlow, Sugama Chicklore, Yulan He et al. BMC Medical Informatics and Decision Making, 2024. Cites: paper

Variational Encoder Based Synthetic Alzheimer's Data Generation for Deep Learning, XGBoost and Statistical Survival Analysis
Henry Musto, Daniel Stamate, Daniel R. Stahl. International Conference on Machine Learning and Applications, 2024. Cites: paper

TransformerFusionNet: A Real-Time Multimodal Framework for ICU Heart Failure Mortality Prediction Using Big Data Streaming
Hager Saleh, Michael McCann, Shaker El–Sappagh et al. International Conference on Computer and Applications (ICCA), 2024. Cites: paper

Blood Pressure Estimation Using Explainable Deep-Learning Models Based on Photoplethysmography
Jade Perdereau, Thibaut Chamoux, Étienne Gayat et al. Anesthesia & Analgesia, 2024. Cites: paper

Decreased cardio-respiratory information transfer is associated with deterioration and a poor prognosis in critically ill patients with sepsis
Cecilia Morandotti, Matthew Wikner, Qijun Li et al. Journal of Applied Physiology, 2024. Cites: dataset, paper

Context-Specific Feature Augmentation for Improving Social Determinants of Health Extraction
Lei Gong, Andrey Shor, Aidong Zhang et al. IEEE International Conference on Big Data (BigData), 2024. Cites: paper

Explainable RNN Classification of Right Ventricular Dysfunction from Echocardiogram Reports
Arun Rajaratanam, Roberto Corizzo, Zois Boukouvalas. IEEE International Conference on Big Data (BigData), 2024. Cites: paper

Federated Learning Governance using Eclipse Dataspace Components Connectors
Angela Mitrovska, Marcel Fernandez Rosas, Pooyan Safari et al. IEEE International Conference on Big Data (BigData), 2024. Cites: paper

ICL: An Incentivized Collaborative Learning Framework
Xinran Wang, Qi Le, Ahmad Khan et al. IEEE International Conference on Big Data (BigData), 2024. Cites: paper

Leveraging BERT and Network-Based Attention Analysis for Identifying Treatment Milestones in EHRs
Minsu Kim, Sol Kim, Byung S. Park. IEEE International Conference on Big Data (BigData), 2024. Cites: paper

MPLite: Multi-Aspect Pretraining for Mining Clinical Health Records
Eric Yang, Pengfei Hu, Xiaoxue Han et al. IEEE International Conference on Big Data (BigData), 2024. Cites: paper

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