Publications citing MIMIC-III Waveform Database v1.0

Implementation and Performance Comparison Study of a Retrieval-Augmented Generation (RAG)-based Chatbot for Korean Medical Consultation (Preprint)
Su-Yeon Choi, Donghyun Kim, Ji-Hwan Jeon et al. 2025. Cites: paper

QRS-centric beat-wise atrial fibrillation detection in ECG signals using deep neural networks
Jaechan Lim, Dong Han, Ki H. Chon. Computers in Biology and Medicine, 2025. Cites: paper

Association between serum anion gap and all-cause mortality in critically ill patients with Gastrointestinal bleeding: insights from MIMIC-IV database
Jianwei Liu, Gege Feng. Scientific Reports, 2025. Cites: paper

Comparison of medical history documentation efficiency and quality based on GPT-4o: a study on the comparison between residents and artificial intelligence
Xiaojing Lu, Xinqi Gao, Xinyi Wang et al. Frontiers in Medicine, 2025. Cites: paper

Overview of machine learning algorithms application in Kazakhstan healthcare sector: analysis of existing solutions and their effectiveness
Цой Павел Александрович, Alua Myrzakerimova. IEEE International Conference on Smart Information Systems and Technologies (SIST), 2025. Cites: paper

Predicting 28-day all-cause unplanned hospital re-admission of patients with alcohol use disorders: a machine learning approach
Jingxiang Zhang, Siyu Qian, Guoxin Su et al. Alcohol and Alcoholism, 2025. Cites: paper

Quantum-Enhanced Deep Learning for Predictive Diagnostics and Personalized Treatment in Smart Healthcare Systems
R. Rajesh, P. K. Hemalatha, R. Vijayabharathi et al. International Conference on Pervasive Computing and Social Networking (ICPCSN), 2025. Cites: paper

Cloud-Based Medical Named Entity Recognition: A FIT4NER-Based Approach
Philippe Tamla, Florian Freund, Matthias Hemmje. Information, 2025. Cites: paper

Exploring the Accuracy and Performance: A Comparative Analysis of Deep Learning Techniques for ICD Prediction from Clinical Notes
Mostafa M. Elbehery, Mohamed S. Mohamed, Mohamed A. Elshafey. 2025. Cites: paper

Multimodal Representation Learning Based on Personalized Graph-Based Fusion for Mortality Prediction Using Electronic Medical Records
Abdulrahman Al-Dailami, Hulin Kuang, Jianxin Wang. Big Data Mining and Analytics, 2025. Cites: paper

Predicting ICU Readmission in Acute Pancreatitis Patients Using a Machine Learning-Based Model with Enhanced Clinical Interpretability
Shu‐Heng Chen, Yong Si, Junyi Fan et al. medRxiv, 2025. Cites: paper

When AI Hesitates: Methods for Identifying and Managing Model Uncertainty
Gerda Urbaite. Luminis Applied Science and Engineering, 2025. Cites: paper

Aligning EMR Structure with Treatment Cycles: Enhancing Data Management and CDSS Functionality
Ali Azadi, Francisco José García‐Peñalvo. Applied Sciences, 2025. Cites: paper

Blood urea nitrogen to serum albumin ratio as a prognostic marker for 28-day mortality in atrial fibrillation: a retrospective cohort study
Yun Huang, Guangdong Wang, Xiang Xia et al. Frontiers in Cardiovascular Medicine, 2025. Cites: paper

How Deep is Your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation
Linglong Qian, Hugh Logan Ellis, Tao Wang et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

Improved multi-label hierarchical patent classification using LLMs
Bardia Rafieian, Pere‐Pau Vázquez. World Patent Information, 2025. Cites: paper

Thirty-day mortality risk prediction for geriatric patients undergoing non-cardiac surgery in the surgical intensive care unit
Mengke Ma, Jiatong Liu, Caiyun Li et al. European journal of medical research, 2025. Cites: paper

Clinical insights: A comprehensive review of language models in medicine
Nikita Neveditsin, Pawan J. Lingras, Vijay Mago. PLOS Digital Health, 2025. Cites: paper

Long Document Classification in the Transformer Era: A Survey on Challenges, Advances, and Open Issues
Renzo Arturo Alva Principe, Nicola Chiarini, Marco Viviani. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, 2025. Cites: paper

MediSim: Multi-granular simulation for enriching longitudinal, multi-modal electronic health records
Brandon Theodorou, Cao Xiao, Lucas M. Glass et al. Patterns, 2025. Cites: paper

Review learning: Real world validation of privacy preserving continual learning across medical institutions
Jaesung Yoo, Sung Hyouk Choi, Ye Yang et al. Computers in Biology and Medicine, 2025. Cites: paper

Weakly supervised language models for automated extraction of critical findings from radiology reports
Avisha Das, Ish A. Talati, Juan Manuel Zambrano Chaves et al. npj Digital Medicine, 2025. Cites: paper

One Model Fits All? Rethinking Medical AI Chatbots with Specialized Retrieval
Ranil Mukesh MJ, S Karthikeyan, Meenalosini Vimal Cruz. International Conference on Artificial Intelligence, Robotics and Control (AIRC), 2025. Cites: paper

Data-Augmented Offline Reinforcement Learning with Bidirectional Temporal Reconstruction for Ventilator Parameter Optimization
Weiyi Zhao, Xihe Qiu, Bo Zhang et al. Research Square, 2025. Cites: paper

Domain knowledge integrated CNN-xLSTM-xAtt network with multi stream feature fusion for cuffless blood pressure estimation from photoplethysmography signals
Md. Shoaib Akhter Rafi, Md. Kamrul Hasan. Expert Systems with Applications, 2025. Cites: paper

Federated Reinforcement Learning for Therapeutic Interventions over ICUs with Noisy Labels
Linxiao Cao, Yifei Zhu, Haoquan Zhou et al. International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2025. Cites: paper

Pandora: an Ai Model for the Automatic Extraction of Clinical Unstructured Data and Clinical Risk Score Implementation
Daniel Jimenez, Natalia Castano-Villegas, Isabella Llano et al. IEEE Conference on Artificial Intelligence (CAI), 2025. Cites: paper

A Graph-Centric Neuro-Symbolic Architecture Applied to Personalized Sepsis Treatments
Lucas Sakizloglou, Taisiya Khakharova, Leen Lambers. 2025. Cites: paper

Optimized machine learning for real-time, non-invasive blood pressure monitoring
Nabil Mohamed Eldakhly. The Journal of Supercomputing, 2025. Cites: paper

Determining the ground truth for the prediction of delirium in adult patients in acute care: a scoping review
Lili M. Schoeler, Lisa Graf, Antti Airola et al. JAMIA Open, 2025. Cites: paper

Vertical Federated Representation Synthesis for Non-Aligned Samples in the Active Party
Jintao Liang, Sen Su, Zhenya Wang. IEEE Transactions on Big Data, 2025. Cites: paper

An Event-Aware Dual Representation Model With Mixture-of-Experts for Serious Adverse Events Prediction in Clinical Trials
Baoshuo Kan, Teng Wang, Hengdong Zhu et al. IEEE Transactions on Consumer Electronics, 2025. Cites: paper

A systematic review of automated International Classification of Diseases coding models using the Medical Information Mart for Intensive Care dataset
Ying Zhang, Chen Lyu, Lu Chang et al. Digital Health, 2025. Cites: paper

Global trends, collaboration networks and knowledge mapping of artificial intelligence evolution in sepsis diagnosis and management: A bibliometric analysis
Zhiyong Lin, Jingyi Deng, Shiming Chen et al. Digital Health, 2025. Cites: paper

Impact of admission-blood-glucose-to-albumin ratio on all-cause mortality and renal prognosis in critical patients with coronary artery disease: insights from the MIMIC-IV database
Yong HONG, Bowen Zhang, Jing Shi et al. 老年心脏病学杂志：英文版, 2025. Cites: paper

Integrating Multimodal EHR Data for Mortality Prediction in ICU Sepsis Patients
Yi Wang, Weihua Li. Statistics in Medicine, 2025. Cites: paper

Interpretable machine learning models for predicting in-hospital mortality in patients with chronic critical illness and heart failure: A multicenter study
Min He, Yongqi Lin, Siyu Ren et al. Digital Health, 2025. Cites: paper

Lactate dehydrogenase-to-albumin ratio as a predictor of 28-day mortality in critically Ill patients with gastrointestinal cancers: Insights from machine learning and the Medical Information Mart for Intensive Care IV database
Xinyi Chen, Yuwen Cai, Xianglin Yuan. Digital Health, 2025. Cites: paper

Leveraging pretrained embeddings and self-attention based convolutional neural networks for early prediction of ventilator-associated pneumonia from clinical notes
Zineb El M’hamdi, Mohamed Lazaar, Oussama Mahboub. Engineering Applications of Artificial Intelligence, 2025. Cites: paper

Modeling Electronic Health Records: Interpretable Sequential Approaches for Enhanced Multimodal Embeddings and Future Clinical Outcome Prediction with Time-Aware Irregular Intervals Handling
Mohammad Al Olaimat. 2025. Cites: paper

Prediction of new-onset atrial fibrillation in sepsis patients by machine learning: A systematic review
Shuxuan Ye, Wan Xu, Zhiyu Jiang et al. Digital Health, 2025. Cites: paper

Use of Large Language Models in Clinical Cancer Research
Kenneth L. Kehl. JCO Clinical Cancer Informatics, 2025. Cites: paper

Wearable underwater vital signs monitoring system
Yiran Wei, Z. G. Liu, Tao Wu et al. Journal of Physics Conference Series, 2025. Cites: paper

Advancements in Medical Radiology Through Multimodal Machine Learning: A Comprehensive Overview
Imran Ul Haq, Mustafa Mhamed, Mohammed Alharbi et al. Bioengineering, 2025. Cites: paper

Factors influencing short-term and long-term survival rates in stroke patients receiving enteral nutrition: a machine learning approach using MIMIC-IV database
Xuehui Fan, Can He, Jing Xu et al. BMC Neurology, 2025. Cites: paper

Privacy-Preserving Machine Learning Models for Medical Data Ensuring Security in Smart Healthcare Systems
Hira Akhtar Butt, Zunaira Rashid, Abdul Ahad et al. IGI Global eBooks, 2025. Cites: paper

Beyond Sequential Patterns: Rethinking Healthcare Predictions with Contextual Insights
Chuang Zhao, Hui Tang, Hongke Zhao et al. ACM Transactions on Information Systems, 2025. Cites: paper

Monitoring blood pressure through a single hybrid hemodynamic signal with a flexible optoelectronic patch
Yizhou Zhong, Yongcao Zhang, Jing Pu et al. Device, 2025. Cites: paper

Predicting rare drug-drug interaction events with dual-granular structure-adaptive and pair variational representation
Zhong-Hao Ren, Xiangxiang Zeng, Yizhen Lao et al. Nature Communications, 2025. Cites: paper

Exploring the implementation of federated learning in healthcare: a comprehensive review
Amjad A. Hudaib, Nadim Obeid, Amjad Albashayreh et al. Cluster Computing, 2025. Cites: paper

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