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

The hidden risk of round numbers and sharp thresholds in clinical practice
Benjamin J. Lengerich, Rich Caruana, Mark Nunnally et al. npj Digital Medicine, 2025. Cites: paper

Deformable phrase level attention: A flexible approach for improving AI based medical coding
Christoph Metzner, Shang Bing Gao, Drahomíra Herrmannová et al. Artificial Intelligence in Medicine, 2025. Cites: paper

Explainable deep learning based techniques for ECG-Based heart disease classification: A systematic literature review and future direction
Gouthamaan Manimaran, Abdolrahman Peimankar, Sadasivan K Puthusserypady et al. Computers in Biology and Medicine, 2025. Cites: paper

Neonatal artificial intelligence and machine learning mortality prediction modeling: A systematic review for risk adjustment in the neonatal intensive care unit
Chelsea K. Bitler, C. Briana Bertoni, Brian King et al. Seminars in Fetal and Neonatal Medicine, 2025. Cites: paper

Population-level impact of universal early AED implementation on out-of-hospital cardiac arrest outcomes: a machine learning analysis using synthetic patient data of 45-year projection study from Japan
Atsushi Kubo, Shinobu Tamura, Atsushi Hiraide et al. Resuscitation, 2025. Cites: paper

Prediction of ICU needs and organ failures in infectious patients using machine learning
Chiyuan Ma, Ruizhi Xu, Dubin Su et al. iScience, 2025. Cites: paper

AI-Augmented Digital Twins for Personalized Patient Monitoring: A Novel Framework for Predictive and Adaptive Healthcare
Diya Anne, Shubham Sharma. Global AI Summit - International Conference on Artificial Intelligence and Emerging Technology (AI Summit), 2025. Cites: paper

A multiwavelength photoplethysmography dataset with blood pressure and heart rate reference measurements
Elisabetta Leogrande, Chiara Botrugno, Giulio Trono et al. Data in Brief, 2025. Cites: paper

Application of large language models in multimodal medical data fusion diagnosis
Dapeng Liu, Yanfang Zheng. International Conference on Machine Learning, Neural Networks, and Computer Software (MLNNCS), 2025. Cites: paper

Artificial intelligence-derived photoplethysmography age as a digital biomarker for cardiovascular health
Guangkun Nie, Qinghao Zhao, Gongzheng Tang et al. Communications Medicine, 2025. Cites: paper

Can Personal Health Information Be Secured in LLM? Privacy Attack and Defense in the Medical Domain
Yujin Kang, Eunsun Kim, Yoon-Sik Cho. ACM SIGSAC Conference on Computer and Communications Security (CCS), 2025. Cites: paper

Comparative Evaluation of Feature Selection Techniques for Six-Month Mortality Prediction in Heart Failure Patients
Parsa Haghighatgoo, Somayeh Afrasiabi. National and International Iranian Conference on Biomedical Engineering (ICBME), 2025. Cites: paper

Early Detection of Sepsis Using Grid Search-Tuned XGBoost on ICU Clinical Data
Mohit. Global AI Summit - International Conference on Artificial Intelligence and Emerging Technology (AI Summit), 2025. Cites: paper

Multiclass ICU Length-of-Stay Prediction Using Tree-Based Machine Learning Techniques
Mahyar Mohammadian, Somayeh Afrasiabi. National and International Iranian Conference on Biomedical Engineering (ICBME), 2025. Cites: paper

Mining Patient Cohort Discovery: A Synergy of Medical Embeddings and Approximate Nearest Neighbor Search
Dimitrios Karapiperis, Antonios P. Antoniadis, Vassilios S. Verykios. Electronics, 2025. Cites: paper

Using machine learning for early prediction of in-hospital mortality during ICU admission in liver cancer patients
Zhuo Zheng, Jinhong Xia, Jiawei Luo et al. Scientific Reports, 2025. Cites: paper

A Comprehensive Machine Learning and SHAP Framework for Predicting I CU Length of Stay Using Non-Therapeutic Clinical Indicators
Zhanzhi Long, Shijun Tong. Research Square, 2025. Cites: paper

Enhancing ICD Code assignment with hierarchical multi-agent collaboration and reinforcement learning
Pengli Lu, Xue Kun Yang, Jingjin Xue et al. Biomedical Signal Processing and Control, 2025. Cites: paper

Integrating GPT-4o Into Data Mining in Neurosurgery: Feasibility and Proof-of-Concept Study
Arthur H. A. Sales, Jürgen Beck, Juergen Grauvogel. JMIR Formative Research, 2025. Cites: paper

Integrating Machine Learning and SHAP for Interpretable Prediction of 28-D ay Mortality in ICU Patients: A Comprehensive Analysis of Initial Physiologic al Features
Zhanzhi Long, Shijun Tong. Research Square, 2025. Cites: paper

Methods for Generating and Evaluating Synthetic Longitudinal Patient Data: A Systematic Review
Katariina Perkonoja, Kari J. Auranen, Joni Virta. Journal of Healthcare Informatics Research, 2025. Cites: paper

Semi-supervised inference for the high-dimensional quantile regression
Xianhui Liu, Tong Wang, Yuanyuan Lin et al. Science China Mathematics, 2025. Cites: paper

Advancing Blood Sample Analysis: Incorporating Expert Opinions and Explainable AI in Multi-label Disease Prediction
Sultan Orynbay, Inabat Akanova, Diana Turmakhan et al. Lecture notes in networks and systems, 2025. Cites: paper

GraIS: Graph-Based Interpretable Network for Sepsis Mortality Prediction Using Multi-modal Electronic Health Records
Lei Cao, Hanyu Wang, Tao Wan et al. Lecture notes in computer science, 2025. Cites: paper

Prognostic impact of persistent versus transient sepsis-associated thrombocytopenia in multicohort data
Weimin Zhang, Xuping Cheng, Xufeng Cai et al. iScience, 2025. Cites: paper

Use of a Novel Natural Language Processing Utility to Extract Structured Data From Free-Text Medical Notes
John T. Culhane. Cureus, 2025. Cites: paper

A System for Blockchain Auditability in Clinical Federated Learning to Ensure Trust and Transparency in Multi-Institutional Healthcare
Kingsley C. Nwosu, Musbah M. Abdulgader, Yen-Hung Frank Hu. IEEE International Biomedical Instrumentation and Technology Conference (IBITeC), 2025. Cites: paper

Ensemble multi-objective hyperparameter optimization for the classification of imbalanced heart disease data
Maryam Moradpour, Zully Ritter, Anne-Christin Hauschild. Expert Systems with Applications, 2025. Cites: paper

MMM: Quantum-Chemical Molecular Representation Learning for Combinatorial Drug Recommendation
Chongmyung Kwon, Yujin Kim, Seoeun Park et al. Lecture notes in computer science, 2025. Cites: paper

Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles
Xin Du, Subramanian Ramamoorthy, Wouter Duivesteijn et al. Proceedings, 2025. Cites: paper

Boosting Clinical Outcome Prediction with Context-Aware Feature Imputation and Disentanglement
Lei Gong, Aidong Zhang, Kishlay Jha. Proceedings, 2025. Cites: paper

Determining optimal strategies for personalized atrial fibrillation treatment in intensive care unit patients using a deep learning-based causal inference approach: rhythm and/or rate control
Min Woo Kang, Shin Young Ahn, Yoonjin Kang. Journal of the American Medical Informatics Association, 2025. Cites: paper

Higher-Order Neural Additive Models: An Interpretable Machine Learning Model with Feature Interactions
Minkyu Kim, Hyun-Soo Choi, JinHo Kim. Proceedings, 2025. Cites: paper

Towards Interpretable and Trustworthy Time Series Reasoning: A BlueSky Vision
Kanghui Ning, Zijie Pan, Yushan Jiang et al. IEEE ... International Conference on Data Mining workshops, 2025. Cites: paper

Uncertainty-Aware Dynamic Knowledge Graphs for Reliable Question Answering
Yu Takahashi, Shun Takeuchi, Kexuan Xin et al. IEEE ... International Conference on Data Mining workshops, 2025. Cites: paper

X4FL: Explainability for Federated Learning in ICU Mortality Prediction
Lena Mondrejevski, Ioanna Miliou, Annaclaudia Montanino et al. IEEE ... International Conference on Data Mining workshops, 2025. Cites: paper

Causal Automated Machine Learning for Zero-Shot Decision-Making in Low-Resource Environments: A New Paradigm in Machine Learning Automation and Transferability
Abhijit Janardan Patankar, Pranav Patil, Mihir Brahmane et al. Cureus Journal of Computer Science., 2025. Cites: paper

Foundational Models in Biology: When hammering nails with a microscope makes sense
O. Mezhenskyi, D. Kravchuk. Fìzìologìčnij žurnal, 2025. Cites: paper

Improving Radiology Report Error Detection Using a Multi-Pass LLM Framework (Preprint)
Songsoo Kim, Seungtae Lee, See Young Lee et al. 2025. Cites: paper

Improving the Safety of Medication Recommendation via Graph Augmented Patient Similarity Network
Ming He, Yongjie Zheng, Changle Li et al. ACM International Conference on Information and Knowledge Management (CIKM), 2025. Cites: paper

Unsupervised clustering based on a graph attention network reveals high-risk subgroups among ICU dementia patients for enhanced mortality prediction
Chuanxiong Li, Lei Zhang, Xiaoyu Zhang et al. European journal of medical research, 2025. Cites: paper

Large Language Model-Based Virtual Patient Simulations in Medical and Nursing Education: A Review
Young-Woo Jo, Myungeun Lee, Hyung-Jeong Yang. Applied Sciences, 2025. Cites: paper

Case Study: Empowering Corporate Governance İn Healthcare Bpos With Explainable AI İn Bangalore, India
Dheeraj Shukla, Shreedhar Deshmukh. International Journal of Latest Technology in Engineering Management & Applied Science, 2025. Cites: paper

Multimodal Contrastive Learning with Early Fusion for Robust Medical Signal Representation
Lei Chen, Kyoungsuk Park, Junetae Kim. ACM International Conference on Information and Knowledge Management (CIKM), 2025. Cites: dataset, paper

ProtoEHR: Hierarchical Prototype Learning for EHR-based Healthcare Predictions
Zi Cai, Yu Liu, Zhiyao Luo et al. ACM International Conference on Information and Knowledge Management (CIKM), 2025. Cites: paper

Factors influencing thrombocytopenia in geriatric patients in the intensive care unit: a retrospective observational study
Xuping Cheng, Mingxia Ji, Yun Wang et al. BMC Geriatrics, 2025. Cites: paper

DiaShift: An Explainable System for Temporal Diagnostic Shift Detection in Clinical Notes
Juli Bakagianni, Kalliopi V. Dalakleidi, Konstantinos V. Stamatis et al. IEEE International Conference on Bioinformatics and Bioengineering (BIBE), 2025. Cites: paper

Explanation Beyond Individual Features: Instance-wise Feature Grouping for EHR Predictive Analytics
Chin Wang Cheong, Kejing Yin, William K. Cheung et al. Journal of Healthcare Informatics Research, 2025. Cites: paper

Impact of blood culture positivity at intensive care unit admission on mortality in infective endocarditis: Machine learning and deep learning-based causal inference models
Min Woo Kang, Shin Young Ahn, Yoonjin Kang. PLoS ONE, 2025. Cites: paper

Development of a machine learning-based interface for insulin dependency prediction using clinical data
Vinod Kumar Yata, Om Pritam Das, B. Lakshmi et al. Scientific Reports, 2025. Cites: paper

Cited by