Publications citing MIMIC-III Waveform Database Matched Subset v1.0

Change trends in serum phosphate levels predict in-hospital mortality in critically ill septic patients
Jun Wang, Xiaohua Song, Shi-Yang Shi et al. Scientific Reports, 2025. Cites: paper

Fine-Tuning a Personalized OpenBioLLM Using Offline Reinforcement Learning
Jinsheng Shi, Yuyu Yuan, Ao Wang et al. Applied Sciences, 2025. Cites: paper

Efficient encrypted semantic search method toward internet of vehicles
Ruyan Wang, Zhen Zhang, Puning Zhang et al. The Journal of Supercomputing, 2025. Cites: paper

External Validation of Persistent Severe Acute Kidney Injury Prediction With Machine Learning Model
Simone Zappalá, Francesca Alfieri, Andrea Ancona et al. Mayo Clinic Proceedings Digital Health, 2025. Cites: paper

Prediction and detection of terminal diseases using Internet of Medical Things: A review
Akeem Temitope Otapo, Alice Othmani, Ghazaleh Khodabandelou et al. Computers in Biology and Medicine, 2025. Cites: paper

Provenance Graph Kernel
David Kohan Marzagão, Trung Dong Huynh, Ayah M. Helal et al. IEEE Transactions on Knowledge and Data Engineering, 2025. Cites: paper

Red blood cell distribution width to albumin ratio is correlated with prognosis of patients in coronary care unit
Jiaoni Wang, Zesong Hu, Yongwei Yu et al. World Journal of Cardiology, 2025. Cites: paper

TCR: topologically consistent reweighting for XGBoost in regression tasks
Monty-Maximilian Zühlke, Daniel Kudenko⋆. Machine Learning, 2025. Cites: paper

Self-supervised learning for graph-structured data in healthcare applications: A comprehensive review
Safa Ben Atitallah, Chaima Ben Rabah, Maha Driss et al. Computers in Biology and Medicine, 2025. Cites: paper

Effectiveness of Transformer-Based Large Language Models in Identifying Adverse Drug Reaction Relations from Unstructured Discharge Summaries in Singapore
Yen Ling Koon, Yan Tung Lam, Hui Xing Tan et al. Drug Safety, 2025. Cites: paper

SBDH-Reader: an LLM-powered method for extracting social and behavioral determinants of health from clinical notes
Zifan Gu, Lesi He, Awais Naeem et al. medRxiv, 2025. Cites: paper

Build Yourself Before Collaboration: Vertical Federated Learning With Limited Aligned Samples
Wei Shen, Mang Ye, Wei Miao Yu et al. IEEE Transactions on Mobile Computing, 2025. Cites: paper

Enhancing Multi-Disease Prediction with Machine Learning: A Comparative Analysis and Hyperparameter Optimization Approach
Mariam Kili Bechir, Ferhat Atasoy. Gazi Üniversitesi Fen Bilimleri Dergisi Part C Tasarım ve Teknoloji, 2025. Cites: paper

LEAF-Net: A real-time fine-grained quality assessment system for physiological signals using lightweight evolutionary attention fusion
Jian Liu, Shuaicong Hu, Yanan Wang et al. Expert Systems with Applications, 2025. Cites: paper

Association between blood eosinophil levels and prognosis in critically ill patients with different heart failure phenotypes
Chengjian Guan, Keke Wang, Angwei Gong et al. Scientific Reports, 2025. Cites: paper

Chronic Disease Symptom Checker with NLP
Vinoth Kumar P, Arul Selvam N, P Soundharajan. International Conference on Sentiment Analysis and Deep Learning (ICSADL), 2025. Cites: paper

Enhancing Patient Outcome Prediction Through Deep Learning With Sequential Diagnosis Codes From Structured Electronic Health Record Data: Systematic Review
Tuankasfee Hama, Mohanad M Alsaleh, Freya Allery et al. Journal of Medical Internet Research, 2025. Cites: paper

Predicting and interpreting healthcare trajectories from irregularly collected sequential patient data using AMITA
Mamadou Ben Hamidou Cissoko, Vincent Castelain, Nicolas Lachiche. Information Sciences, 2025. Cites: paper

An effective multi-step feature selection framework for clinical outcome prediction using electronic medical records
Hongnian Wang, Mingyang Zhang, Liyi Mai et al. BMC Medical Informatics and Decision Making, 2025. Cites: paper

De-identification of clinical notes with pseudo-labeling using regular expression rules and pre-trained BERT
Jiyong An, Jiyun Kim, Leonard Sunwoo et al. BMC Medical Informatics and Decision Making, 2025. Cites: paper

Stress management with HRV following AI, semantic ontology, genetic algorithm and tree explainer
Ayan Chatterjee, Michael Alexander Riegler, K Ganesh et al. Scientific Reports, 2025. Cites: paper

Predicting the Length of Hospital Stay Using Machine Learning: An Explainable Artificial Intelligence Approach
Omar Basubeit, Aznul Qalid Md Sabri. International Conference on Data Science and Machine Learning Applications (CDMA), 2025. Cites: paper

AMGNet: An Attention-Guided Multi-Graph Collaborative Decision Network for Safe Medication Recommendation
Shiji Li, Haitao Wang, Jianfeng He et al. Electronics, 2025. Cites: paper

Advances in Machine Learning Models for Healthcare Applications: A Precise and Patient-Centric Approach
Bhumika Parashar, Sathvik Belagodu Sridhar, Kalpana Kalpana et al. Current Pharmaceutical Design, 2025. Cites: paper

Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task
Zihao Wu, Lu Zhang, Chao Cao et al. IEEE Transactions on Big Data, 2025. Cites: paper

Multicenter validation of a machine learning model to predict intensive care unit readmission within 48 hours after discharge
Leerang Lim, Min Ja Kim, Kyungjae Cho et al. EClinicalMedicine, 2025. Cites: paper

Vertical federated learning: a structured literature review
Afsana Khan, Marijn ten Thij, Anna Wilbik. Knowledge and Information Systems, 2025. Cites: paper

The Predictive Value of Red Cell Distribution Width for the Risk of Sepsis in Patients with Acute Pancreatitis: A Retrospective Cohort Study
Chao Yang, Haijun Cao, Shanshan Chen et al. Pancreas, 2025. Cites: paper

Vertical federated learning based on data subset representation for healthcare application
Yukun Shi, Jilin Zhang, Meiting Xue et al. Computer Methods and Programs in Biomedicine, 2025. Cites: paper

Machine Learning Integrated Health Advisory Chatbot System
Aman A. Jikar, Samir Mendhe. International Conference on Electronics and Renewable Systems (ICEARS), 2025. Cites: paper

The foundational capabilities of large language models in predicting postoperative risks using clinical notes
Charles Alba, Bing Xue, Joanna Abraham et al. npj Digital Medicine, 2025. Cites: paper

The Large Language Models on Biomedical Data Analysis: A Survey
Wei Lan, Zhentao Tang, Mingyang Liu et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

Association between red blood cell distribution width-to-albumin ratio at admission and all-cause mortality in patients with acute pancreatitis based on the MIMIC-III database
Qingsong Wu, Lianyi Liao, Qingjun Deng. PLoS ONE, 2025. Cites: paper

Leveraging language models for automated distribution of review notes in animated productions
Diego Garcés, Matilde Santos, David Fernández Llorca. Neurocomputing, 2025. Cites: paper

A foundation systematic review of natural language processing applied to gastroenterology & hepatology
Matthew Stammers, Balasubramanian Ramgopal, Abigail Owusu Nimako et al. BMC Gastroenterology, 2025. Cites: paper

A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis
Fenglin Liu, Li Zheng, Qingyu Yin et al. npj Digital Medicine, 2025. Cites: paper

Patient deep spatio-temporal encoding and medication substructure mapping for safe medication recommendation
Haoqin Yang, Yuandong Liu, Longbo Zhang et al. Journal of Biomedical Informatics, 2025. Cites: paper

Predicting appropriateness of antibiotic treatment among ICU patients with hospital-acquired infection
Ella Goldschmidt, Ella Rannon, Daniel A. Bernstein et al. npj Digital Medicine, 2025. Cites: paper

Bilateral network with text guided aggregation architecture for lung infection image segmentation
Xiang Pan, Huiying Mei, Jianwei Zheng et al. Biomedical Physics & Engineering Express, 2025. Cites: paper

Developing a Scalable Annotation Method for Large Datasets That Enhances Alarms With Actionability Data to Increase Informativeness: Mixed Methods Approach
Sophie Anne Inès Klopfenstein, Anne Rike Flint, Patrick Heeren et al. Journal of Medical Internet Research, 2025. Cites: paper

Clinical subtypes in critically ill patients with sepsis: validation and parsimonious classifier model development
Rombout B. E. van Amstel, Emma Rademaker, Jason N. Kennedy et al. Critical Care, 2025. Cites: paper

Multimodal convolutional neural networks for the prediction of acute kidney injury in the intensive care
R van Slobbe, Drahomíra Herrmannová, D J Boeke et al. International Journal of Medical Informatics, 2025. Cites: paper

The Danish Lymphoid Cancer Research (DALY-CARE) Data Resource: The Basis for Developing Data-Driven Hematology
Christian Brieghel, Mikkel Werling, Casper Møller Frederiksen et al. Clinical Epidemiology, 2025. Cites: paper

Towards Trustworthy AI in Healthcare: Epistemic Uncertainty Estimation for Clinical Decision Support
Adrian Lindenmeyer, Malte Blattmann, Stefan Franke et al. Journal of Personalized Medicine, 2025. Cites: paper

A flexible framework for sepsis prediction: Standardizing data management and imputation in time series using MIMIC-III
Javier Solís-García, Jose E. Sánchez-López, Belén Vega-Márquez et al. SoftwareX, 2025. Cites: paper

Cafe: Improved Federated Data Imputation by Leveraging Missing Data Heterogeneity
Sitao Min, Hafiz Salman Asif, Xinyue Wang et al. IEEE Transactions on Knowledge and Data Engineering, 2025. Cites: paper

Examining Mortality Risk Prediction Using Machine Learning in Heart Failure Patients
Muhammad Daniel Iman bin Hussain, Sharyar Wani, Adamu Abubakar. International Journal on Perceptive and Cognitive Computing, 2025. Cites: paper

Interpretable and multimodal fusion methodology to predict severe hypoglycemia in adults with type 1 diabetes
Francisco J. Lara-Abelenda, David Chushig-Muzo, Ana María Wägner et al. Engineering Applications of Artificial Intelligence, 2025. Cites: paper

Large Language Model-Informed ECG Dual Attention Network for Heart Failure Risk Prediction
Chen Chen, Lei Li, Marcel Beetz et al. IEEE Transactions on Big Data, 2025. Cites: paper

Toward a Fairness-Aware Scoring System for Algorithmic Decision-Making
Yi Yang, Ying Wu, Xiangyu Chang et al. Production and Operations Management, 2025. Cites: paper

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