Cited by
MIMIC-III Waveform Database (v1.0)
7936 publications cite any version of this project or its primary paper, newest first.
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Anomaly-Based Intrusion Detection for IoMT Networks: Design, Implementation, Dataset Generation, and ML Algorithms Evaluation
Georgios Zachos, Γεώργιος Μαντάς, Kyriakos Porfyrakis et al. IEEE Access, 2025. Cites: paper -
An Optimized LSTM Model for Diagnosis Prediction of Lower Respiratory Tract Infections Using a Minimalistic Data Set
Lukman Bukenya, Odongo Steven Eyobu, Tonny Justus Oyana. IEEE Access, 2025. Cites: paper -
A Novel Data-Annotated Label Collection and Deep-Learning Based Medical Image Segmentation in Reversible Data Hiding Domain
Lord Amoah, Jinwei Wang, Bernard-Marie Onzo. Computer Modeling in Engineering & Sciences, 2025. Cites: paper -
Application of artificial intelligence in pioneering heart disease detection
Susmita Sikdar, Palash Swarnakar, Partha Sarathi Swarnakar. Elsevier eBooks, 2025. Cites: paper -
A Review of Deep Learning for Biomedical Signals: Current Applications, Advancements, Future Prospects, Interpretation, and Challenges
Ali Mohammad Alqudah, Zahra Moussavi. Computers, materials & continua/Computers, materials & continua (Print), 2025. Cites: paper -
A Self-Adaptive Frequency Decomposition Approach for Denoising to Enhance Data-Driven Learning of Cyclic Time Series in Medical Signal Estimation
Shang-Wei Chao, Feng‐Li Lian. IEEE Access, 2025. Cites: paper -
Association between statin administration and outcome in patients with sepsis: A retrospective study
Jianzhu Zhou, Zeying Feng, Hui Qiu et al. Open Medicine, 2025. Cites: paper -
Association of serum magnesium, total and ionized calcium levels with ICU mortality: A 208-hospital retrospective analysis
Boyang Cai, Yaoshen Liang, Wenli Zheng et al. Journal of Medical Biochemistry, 2025. Cites: paper -
A Survey of Federated Learning-Based Intrusion Detection Methods in Medical IoT
Ahlem Harhad, David Durand, Cyril Drocourt et al. Communications in computer and information science, 2025. Cites: paper -
Automated Clinical Summary Generation via Integrating Structured and Unstructured Data
Jiaojiao Fu, Bowen Yang, Yi Guo et al. Communications in computer and information science, 2025. Cites: paper -
A variational autoencoder and neural network approach to generating synthetic data in well-being research
Joonas Tuomikoski, Ville Vesterinen, Rami Luisto et al. Applied Computing and Intelligence, 2025. Cites: paper -
Blood Oxygen Saturation Estimation Using PPG Signals from the MIMIC-III Database
Nenad Petrovikj, Bojana Mishkovska, Bojana Koteska et al. Communications in computer and information science, 2025. Cites: paper -
Case Study to Role of Large Language Models in Prediction of the Future Illness
Hemang A. Thakar, Vidisha Pradhan, Jigar Subodhchandra Sarda et al. Studies in computational intelligence, 2025. Cites: paper -
Causal Machine Learning for Medical Texts
Alessandro Albano, Chiara Di Maria, Mariangela Sciandra et al. Springer eBooks, 2025. Cites: paper -
CLARA: A Context-Aware Drug Recommendation Framework Using Multi-Level Integration of Large Language Models and Graph Neural Networks
Sarra Laaouar, Nacim Yanes. Procedia Computer Science, 2025. Cites: paper -
Classification of Mental Disorder with Deep Generative Models
Amaan Arif, Anshul Tiwari, Meenakshi Srivastava et al. Information systems engineering and management, 2025. Cites: paper -
Classifications of Multiple Organ Failures Using SOFA Score
Norliyana Nor Hisham Shah, Normy Norfiza Abdul Razak, Athirah Abdul Razak et al. Lecture notes in electrical engineering, 2025. Cites: paper -
Contextual Expansion of Medical Abbreviations in Medical Text Reports
Sakshi Manoj Surve, Hiren Dand. Lecture notes in networks and systems, 2025. Cites: paper -
ContrastLOS: A Graph-Based Deep Learning Model With Contrastive Pre-Training for Improved ICU Length-of-Stay Prediction
G. F. Fan, Aixiang Liu, Chao Zhang. IEEE Access, 2025. Cites: paper -
Convolutional Autoencoder With Sequential and Channel Attention for Robust ECG Signal Denoising With Edge Device Implementation
Alif Wicaksana Ramadhan, Syifa Kushirayati, Salsabila Aurellia et al. IEEE Access, 2025. Cites: paper -
Cuffless Blood Pressure Measurement From Photoplethysmography Through High and Low Frequency Information Fusion Attention Mechanism
Tao Lu, Dongjie Li, Zhaoyi Ning et al. Communications in computer and information science, 2025. Cites: paper -
Cyber Threats in the Pharmaceutical Industry: A Deep Dive Into Recent Attacks and Future Implications
Krishna Chiatanya Chaganti, Subba Reddy Inta, Sri Lekha Bandla et al. IEEE Access, 2025. Cites: paper -
DADA-MED: Data-Augmented Dual Attention Model for Enhanced Medication Recommendations
Krati Saxena, Tomohiro Shibata. IFIP advances in information and communication technology, 2025. Cites: paper -
Data-Driven Machine Learning Approaches for Predicting In-Hospital Sepsis Mortality
Arseniy Shumilov, Yueting Zhu, Negin Ashrafi et al. Lecture notes in networks and systems, 2025. Cites: paper -
DDCCR-Net: A Dual Dynamic Convolutional and Correlation-Based ResNet Model for Blood Pressure Prediction
Xiangyu Zhang, Yumin Li, Li Ling et al. IEEE Transactions on Instrumentation and Measurement, 2025. Cites: paper -
Deep Learning-Enabled Electronic Health Records for Accurate Diagnosis of Cardiovascular Diseases: A Retrospective, Prospective, Diagnostic Study
Zikai Xiao, Yifu Zeng, M. Mo et al. Lecture notes in computer science, 2025. Cites: paper -
Deep Learning for Video Fluoroscopic Swallowing Study Analysis: A Survey on Classification, Detection, and Segmentation Techniques
Ahmed Fakhry, Sarah Mary Antony, Eunhee Park et al. IEEE Access, 2025. Cites: paper -
Deep Multimodal Fusion for Breast Cancer Classification: Taxonomy, Datasets and Open Challenges
Poonam Rangnath Dholi, Varsha Hemant Patil. EPJ Web of Conferences, 2025. Cites: paper -
Design and HDL Implementation of Pulse-Arrival-Time Estimation Using XGBoost Regression With Tree-Recycling Architecture
Hyo-Jeong Choi, Ji‐Yong Um. IEEE Access, 2025. Cites: paper -
Differential diagnosis making with large language models and probabilistic logic program
Boris A. Galitsky. Elsevier eBooks, 2025. Cites: paper -
Digital transformation with IoT and cloud in healthcare
Yacine Atif, Sujith Samuel Mathew. Elsevier eBooks, 2025. Cites: paper -
DiPPSI: Diffusion-Based Pulsative Physiological Signal Imputation
Su-Jung Wu, Josh Jia-Ching Ying, Vincent S. M. Tseng. Lecture notes in computer science, 2025. Cites: paper -
Discovering the Influence of Exogenous Data on Decisions in Processes
Adam Banham, Yannis Bertrand, Robert Andrews et al. Lecture notes in computer science, 2025. Cites: paper -
Domain Knowledge Augmented Contrastive Learning on Dynamic Hypergraphs for Improved Health Risk Prediction
Akash Choudhuri, Hieu M. Vu, Kishlay Jha et al. Society for Industrial and Applied Mathematics eBooks, 2025. Cites: paper -
Early In-Hospital Mortality Prediction Based on xTimesNet and Time Series Interpretable Methods
Xueyan Wang, Zhengxing Yuan, Zhiqiu Yao et al. IEEE Access, 2025. Cites: paper -
E-FuTuRe: Enhancing Fuzzy Ensemble Models for Future Predictions Using Transfer Learning Techniques with Differential Equations Approach
V. Kavitha, M. Josephine Rebecca, A. Pushpalatha et al. Lecture notes in networks and systems, 2025. Cites: paper -
Enhanced Advanced Deep Learning Techniques for Data Analysis in Electronic Health Records (EHRs)
D. Karthik, Arun Sahayadhas. Algorithms for intelligent systems, 2025. Cites: paper -
Enhanced Coronary Artery Disease Classification Through Feature Engineering and One-Dimensional Convolutional Neural Network
Atitaya Phoemsuk, Vahid Abolghasemi. IEEE Access, 2025. Cites: paper -
Enhancing Hypoglycemia Prediction in Type 1 Diabetes Through Semantic Knowledge Integration and Machine Learning Optimization
Jennifer I. Daniel Onwuchekwa, Christian Weber, Maria Maleshkova. Lecture notes in computer science, 2025. Cites: paper -
Enhancing Medical Diagnostics with Machine Learning: A Study on Ensemble Methods and Transfer Learning
Jiaming Zhang. ITM Web of Conferences, 2025. Cites: paper -
Enhancing Tabular Data Generation With Dual-Scale Noise Modeling
Xiaorong Zhang, Fei Li, Xuting Hu. IEEE Access, 2025. Cites: paper -
Evaluating fine-tuned GPT models on different datasets in the healthcare domain
Yun Hui Lim, Pauline Shan Qing Yeoh, Khin Wee Lai. Innovation and Emerging Technologies, 2025. Cites: paper -
Evaluating LLM Abilities to Understand Tabular Electronic Health Records: A Comprehensive Study of Patient Data Extraction and Retrieval
Jesús Lovón-Melgarejo, Martin Mouysset, Jo Oleiwan et al. Lecture notes in computer science, 2025. Cites: paper -
Evaluating the Impact of Pulse Oximetry Bias in Machine Learning Under Counterfactual Thinking
Inês Soraia Martins, João Carlos Ramos Gonçalves de Matos, Tiago Gonçalves et al. Lecture notes in computer science, 2025. Cites: paper -
Event Sequence Prediction via Hybrid Mamba Hawkes Process
Yixiang Wang, Zhengyang Li, Zhenguo Zhang. Lecture notes in computer science, 2025. Cites: paper -
Extracting Language Information from Clinical Notes Using Large Language Models
Lingfei Qian, Na Hong, Yujia Zhou et al. International Journal of Medical Informatics, 2025. Cites: paper -
Feature-Based Explainable Reinforcement Learning in Environments with Multiple Sources of Risk
Omid Davoodi, Majid Komeili. Lecture notes in computer science, 2025. Cites: paper -
Federated learning for distributed intrusion detection in IoT networks
Qingyun Du, Beibei Li, Zerui Shao et al. Elsevier eBooks, 2025. Cites: paper -
Federated Learning for Privacy-Preserving Severity Classification in Healthcare: A Secure Edge-Aggregated Approach
Ankita Maurya, Rahul Haripriya, Manish Pandey et al. IEEE Access, 2025. Cites: paper -
Foundation of secured edge intelligence in CPS
Pu Tian, Weixian Liao, Cheng Qian et al. Elsevier eBooks, 2025. Cites: paper
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.