Publications citing MIMIC-III Waveform Database v1.0

A Multi-Language NLP Model for Inclusive Digital Healthcare Marketing and Patient Communication
Nargis Parveen, Albia Maqbool, Hina Skhawat et al. Engineering Technology & Applied Science Research, 2025. Cites: paper

Multiple disease diagnoses using heterogeneous EHR curated knowledge graph and machine learning models
Shivani Dhiman, Anjali Thukral, Punam Bedi. Applied Intelligence, 2025. Cites: paper

Observational Study of Microbial Colonization and Infection in Neurological Intensive Care Patients Based on Electronic Health Records
Alesya S. Gracheva, Artem N. Kuzovlev, Lyubov E. Salnikova. Biomedicines, 2025. Cites: paper

Robust and efficient semi-supervised learning for Ising model
Daiqing Wu, Molei Liu. Biometrics, 2025. Cites: paper

Automated transformation of unstructured cardiovascular diagnostic reports into structured datasets using sequentially deployed large language models
Sumukh Vasisht Shankar, Lovedeep Singh Dhingra, Arya Aminorroaya et al. European Heart Journal - Digital Health, 2025. Cites: paper

Comparisons are odious
Marcos Valiente Fernández, Alejandro Caballo Manuel, José Ginestal Calvo et al. Medicina Intensiva (English Edition), 2025. Cites: paper

Deep learning for electrocardiogram interpretation: Bench to bedside
Bas B.S. Schots, Camila S. Pizarro, Bauke K. O. Arends et al. European Journal of Clinical Investigation, 2025. Cites: paper

Efficient and scalable construction of clinical variable networks for complex diseases with RAMEN
Yiwei Xiong, Jingtao Wang, Xiaoxiao Shang et al. Cell Reports Methods, 2025. Cites: paper

LLM-DG: Leveraging large language model for enhanced disease prediction via inter-patient and intra-patient modeling
Yan Kang, Mingjian Yang, Yue Peng et al. Information Fusion, 2025. Cites: paper

The Development Landscape of Large Language Models for Biomedical Applications
Zhiyuan Cao, Vipina K. Keloth, Qianqian Xie et al. Annual Review of Biomedical Data Science, 2025. Cites: paper

The effect of antiseizure medication on mortality in spontaneous aneurysmal subarachnoid hemorrhage
John H. Kanter, Adam C. Glaser, Pablo Martínez‐Camblor et al. The Journal of Critical Care Medicine, 2025. Cites: paper

AI for e-Health : Robust Artificial Intelligence Models for the Analysis of Wearable Medical Devices Data
Hava Chaptoukaev. 2025. Cites: paper

Unsupervised Deep Learning of Electronic Health Records to Characterize Heterogeneity Across Alzheimer Disease and Related Dementias: Cross-Sectional Study
Matthew West, You Cheng, Yingnan He et al. JMIR Aging, 2025. Cites: paper

Multimodal contrastive learning for enhanced explainability in pediatric brain tumor molecular diagnosis
Sara Ketabi, Matthias W Wagner, Cynthia E Hawkins et al. Scientific Reports, 2025. Cites: paper

Predicting 28-Day Mortality in First-Time ICU Patients with Heart Failure and Hypertension Using LightGBM: A MIMIC-IV Study
Junyi Fan, Shuheng Chen, Haonan Pan et al. medRxiv, 2025. Cites: paper

Advancing early detection of sepsis with physiological variable interactions and temporal contrastive learning in critical care
Da Huang, Tao Tan, Yue Sun. Biomedical Signal Processing and Control, 2025. Cites: paper

Machine learning prediction models for multidrug-resistant organism infections in ICU ventilator-associated pneumonia patients: Analysis using the MIMIC-IV database
Zhigang Cui, Yifan Dong, Huizhu Yang et al. Computers in Biology and Medicine, 2025. Cites: paper

Predicting explainable dementia types with LLM-aided feature engineering
Aditya M Kashyap, Delip Rao, Mary Regina Boland et al. Bioinformatics, 2025. Cites: paper

Explainable ICD Code Assignment Using Knowledge-Based Sentence Extraction and Deep Learning
Joshua Carberry, Haiping Xu. International Journal of Semantic Computing, 2025. Cites: paper

NLP and AI for Public Health Intelligence: Automating Disease Surveillance from Unstructured Data
Vijayalaxmi Methuku. ICCK Transactions on Emerging Topics in Artificial Intelligence, 2025. Cites: paper

Understanding Reasons for Oral Anticoagulation Nonprescription in Atrial Fibrillation Using Large Language Models
Sulaiman S. Somani, Dale Daniel Kim, Eduardo J Pérez-Guerrero et al. Journal of the American Heart Association, 2025. Cites: paper

Advances and applications in inverse reinforcement learning: a comprehensive review
Saurabh Deshpande, Rahee A. Walambe, Ketan V. Kotecha et al. Neural Computing and Applications, 2025. Cites: paper

Differences in Arterial Blood Gas Testing by Race and Sex across 161 U.S. Hospitals in Four Electronic Health Record Databases
João Carlos Ramos Gonçalves de Matos, Mahmoud I Alwakeel, Sicheng Hao et al. American Journal of Respiratory and Critical Care Medicine, 2025. Cites: paper

The future of artificial intelligence in cardiovascular monitoring
Massimiliano Greco, Marta Lubian, Maurizio Cecconi. Current Opinion in Critical Care, 2025. Cites: paper

Effective Non-IID Degree Estimation for Robust Federated Learning in Healthcare Datasets
Kun-Yi Chen, Chi‐Ren Shyu, Yuan‐Yu Tsai et al. Journal of Healthcare Informatics Research, 2025. Cites: paper

CEET: Time-Series Casual Effect Estimation via Transformer Based Representation Learning
Wendong Zhang, Haibin Peng, Hongyu He. International Symposium on Computer Applications and Information Systems (ISCAIS), 2025. Cites: paper

Transformers and large language models are efficient feature extractors for electronic health record studies
Kevin Z Yuan, Chang Ho Yoon, Qingze Gu et al. Communications Medicine, 2025. Cites: paper

Association Between Risk Factors and Major Cancers: Explainable Machine Learning Approach
Xiayuan Huang, Shushun Ren, Xinyue Mao et al. JMIR Cancer, 2025. Cites: paper

Health Care Quality and Patient Safety in the Era of Artificial Intelligence
Piyush Mathur, Reem Khatib, Dharan Sankar Jaisankar et al. Medical Clinics of North America, 2025. Cites: paper

Large Language Models for Opioid-Induced Respiratory Depression Prediction in Hospitalized Patients: A Retrospective Study
Elahe Hosseini, Abhinav Srinivas, Najmeh Nazari et al. ACM Transactions on Computing for Healthcare, 2025. Cites: paper

A comprehensive survey of imaging-based methods of measuring intracranial pressure
AZM Ehtesham Chowdhury, Graham J. Mann, William Huxley Morgan et al. Biomedical Signal Processing and Control, 2025. Cites: paper

Nonlinear association between hematocrit levels and short-term all-cause mortality in ICU patients with acute pancreatitis: insights from a retrospective cohort study
Li-Juan Zou, Hang Ruan, Yongsheng Li. BMC Gastroenterology, 2025. Cites: paper

The Role of Data Standardization in Improving Clinical Research Outcomes Through Enhanced Interoperability and Error Minimization
Madhavan Periyasamy. International Conference on Intelligent Computing and Control Systems (ICICCS), 2025. Cites: paper

A Data-Driven Approach to Predicting and Visualizing Disease Progression in Hospitalized Patients
Sudeshna Jana, Tirthankar Dasgupta, Manjira Sinha. ACM International Conference on Intelligent User Interfaces (IUI), 2025. Cites: paper

Clinical Text Generation: Are We There Yet?
Nicolas Hiebel, Olivier Ferret, Karën Fort et al. Annual Review of Biomedical Data Science, 2025. Cites: paper

Contrastive learning with large language models for medical code prediction
Yuzhou Wu, Jin Zhang, Xuechen Chen et al. Expert Systems with Applications, 2025. Cites: paper

LEMS: Optimized Large Model Framework for Edge-AI in Consumer Internet of Things Devices
Abdul Rehman, Khalid Mahmood, Mahmood ul Hassan et al. IEEE Transactions on Consumer Electronics, 2025. Cites: paper

Algorithms for Enhanced Security and Data Sharing in Blockchain-Driven Healthcare Systems
G. Jithender Reddy, T. Uma Devi. International Journal of Computational and Experimental Science and Engineering, 2025. Cites: paper

A Scalable AI Framework for Proactive Health Monitoring Using Physiological Signals
Meera Radhakrishnan, Roupen Minassian, Kun Yu et al. IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), 2025. Cites: paper

ECG-Based Biometric Recognition: A Survey of Methods and Databases
David Meltzer, David Luengo. Sensors, 2025. Cites: paper

Leveraging Causal AI for Robust Treatment Policy Formulation: An Ensemble Causal Tree Approach with Expert Insights in Critical Care Decision-Making
Uzma Hasan, Md Osman Gani, Mohammad Adibuzzaman et al. IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), 2025. Cites: paper

Predicting mortality risk in the intensive care unit using a Hierarchical Inception Network for heterogeneous time series
Hang Yu, Longfei Liu, Rongqin Chen et al. Biomedical Signal Processing and Control, 2025. Cites: dataset, paper

EvolveFNN: An Interpretable Framework for Early Detection Using Longitudinal Electronic Health Record Data
Yufeng Zhang, Emily M. Wittrup, Matthew W. Hodgman et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

Explainable AI Frameworks for Large Language Models in High-Stakes Decision-Making
Sravan Kumar Chittimalla, Leela Krishna M Potluri. 2025. Cites: paper

How to leverage large language models for automatic ICD coding
Youngju Yoo, Sewon Kim. Computers in Biology and Medicine, 2025. Cites: paper

Racial and ethnic disparities in aortic stenosis within a universal healthcare system characterized by natural language processing for targeted intervention
Dhruva Biswas, Jack Wu, Sam Brown et al. European Heart Journal - Digital Health, 2025. Cites: paper

Sparse mobile crowd sensing in low-resource computing environments: An active spatio-temporal fracture approach
Yayong Shi, Haiyan Zhu, Rui Wang. Computer Networks, 2025. Cites: paper

Strengthening Discovery and Application of Artificial Intelligence in Anesthesiology: A Report from the Anesthesia Research Council
Hannah Lonsdale, Michael L Burns, Richard H. Epstein et al. Anesthesia & Analgesia, 2025. Cites: paper

A Pilot Study Using Natural Language Processing to Explore Textual Electronic Mental Healthcare Data
Gayathri Delanerolle, Yassine Bouchareb, Suchith Shetty et al. Informatics, 2025. Cites: paper

Real-World Case Studies
Preeti Rani, Satya Prakash Yadav, Prem Narayan Singh et al. IGI Global eBooks, 2025. Cites: paper

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