Cited by
MIMIC-III Waveform Database Matched Subset (v1.0)
7929 publications cite any version of this project or its primary paper, newest first.
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Multitask Multilayer Model for Predicting HR, BP Inside ICU as Well as Patient Death
Nora Mahmoud El-Rashidy, Wael Sobhy, Tamer Medhat. Future International Conference on Artificial Intelligence and Cybersecurity (FICAC), 2025. Cites: paper -
Assessing Privacy Risks in Differential Privacy Models for Communication-Centric Learning
Milon Biswas, Yifan Guo, Weixian Liao et al. IEEE Virtual Conference on Communications (VCC), 2025. Cites: paper -
Predictive Modeling of Anesthesia Types and Their Associations with Clinical Outcomes Using the MIMIC-IV Database
Goli Asgari, Ata Amini, Pooya Vahedi et al. Journal of Cellular & Molecular Anesthesia, 2025. Cites: paper -
AutoPK: Leveraging LLMs and a Hybrid Similarity Metric for Advanced Retrieval of Pharmacokinetic Data From Complex Tables and Documents
Hossein Sholehrasa, Amirhossein Ghanaatian, Doina Caragea et al. IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2025. Cites: paper -
Wearable PPG-to-Multi-Lead ECG Conversion for Cardiac Monitoring
Chongxin Zhong, Zhishan Guo, Anil K. Gehi et al. Wearable and Implantable Body Sensor Networks, 2025. Cites: paper -
Applications of Deep Learning in Medical Imaging: A Comprehensive Review
Yash Bhardwaj, Pranay M. Meshram. International Conference on Electronics, Communication and Aerospace Technology (ICECA), 2025. Cites: paper -
Association of serum anion gap with 28-day mortality in critically ill patients with pneumothorax: A retrospective cohort study utilizing the MIMIC-IV database
Xinzhen Li, Yingxiu Huang, Lin Sun. Respiratory Medicine, 2025. Cites: paper -
Detecting Role Impersonation in AI-Generated Clinical Oncology Text Using Knowledge Graphs
Amar Banerjee, Arnab Roy. IEEE Pulse, 2025. Cites: paper -
Dynamic Memory-Aware Causal Subgraph Learning for Irregular Clinical Time Series
Jinquan Ji, Yu Cao, Chunyi Hou et al. IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2025. Cites: paper -
Harnessing Nonlinear Mechanics to Transform Medical Diagnostics
Chandrasekhar Nataraj, Sadra Hemmati. Applied Mechanics Reviews, 2025. Cites: paper -
Imputation with Inter-Series Information from Prototypes for Healthcare Time Series
Zhihao Yu, Liantao Ma, Yasha Wang et al. Journal of Computer Science and Technology, 2025. Cites: paper -
Selected abstracts from the Australian and New Zealand College of Anaesthetists Annual Scientific Meeting, May 2–6 2025, Cairns, Australia
Anaesthesia and Intensive Care, 2025. Cites: paper -
Smart Diagnosis: AI-Powered Heart Disease Detection
Satish Kumar Pittala, Goutham Kacheru. IEEE International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA), 2025. Cites: paper -
Can Language Models Reason About ICD Codes to Guide the Generation of Clinical Notes?
Ivan Makohon, Jian Feng Wu, Bintao Feng et al. Lecture notes in computer science, 2025. Cites: paper -
Gaussian Mixture Conditional Variational Recurrent Neural Network for Unified Trajectory Imputation and Prediction
Yi Xu, Yun Fu. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025. Cites: paper -
PERSONALIZED MEDICINE WITH THE APPLICATION OF ARTIFICIAL INTELLIGENCE: A REVOLUTION IN DIAGNOSIS AND THERAPY
Marko Kimi Milić, Šćepan Sinanović, Tatjana Kilibarda et al. AFMN Biomedicine, 2025. Cites: paper -
The Impact of Deep Learning on Image Recognition and Classification: Techniques, Applications, and Future Directions
Bhumika S. Prajapati, Shraddha Korvadiya, Vaibhav C. Gandhi. Advances in intelligent systems and computing, 2025. Cites: paper -
An integrated approach for rare disease detection and classification in Spanish pediatric medical reports
Andrés Duque, Lourdes Araujo, Juan Martínez-Romo et al. Scientific Reports, 2025. Cites: paper -
A Survey of Forecasting Methods for Irregular Time Series
Xuanying Li, Sha Xiang, Cheng Dai. IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 2025. Cites: paper -
Bibliometric Analysis of Literature Based on Blockchain-Based Federated Learning for Privacy-Preserving AI Models
Saurabh Magdum, Sonali Chandrashekhar Patil, Deepali Nilesh Naik. IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS), 2025. Cites: paper -
Enabling Decentralized Clinical Insights
Sonam Gupta, Pradeep Gupta, Lipika Goel et al. Advances in computational intelligence and robotics book series, 2025. Cites: paper -
Learning from experts: A self-improving LLM framework for study population generation in clinical research
Yaoqian Sun, Zikang Chen, Hailing Cai et al. International Journal of Medical Informatics, 2025. Cites: paper -
Prompt-Enhanced Question Answering for Clinical Texts Using Instruction-Tuned Language Models
Akanksha Dhamija, Arun Kumar Sharma. IEEE Uttar Pradesh Section Women in Engineering International Conference on Electrical, Electronics and Computer Engineering (UPWIECON), 2025. Cites: paper -
A Comparative Analysis of Federated Learning Algorithms for Healthcare: Strengths, Limitations, and Practical Recommendations
Sheikh Sharfuddin Mim, Doina Logofătu, Gabriel Guerrero-Contreras et al. International Conference on Innovations in Intelligent Systems and Applications (INISTA), 2025. Cites: paper -
Cardiovascular disease detection: A hybrid machine learning-AI framework for personalized diagnosis and risk assessment
Medhat A. Tawfeek, Ibrahim Alrashdi, Madallah Alruwaili et al. PLoS ONE, 2025. Cites: paper -
Design of the Bahrain Primary Healthcare Centers Clinical Notes Dataset
Hasan Abdulla, Nabil Hewahi. International Conference on Data Analytics for Business and Industry (ICDABI), 2025. Cites: paper -
Estimating blood pressure from the electrocardiogram: findings of a large-scale negative results study
Seyedeh Somayyeh Mousavi, Sajjad Karimi, Mohammadsina Hassannia et al. Physiological Measurement, 2025. Cites: paper -
General Vs Domain-Specific Language Models for Depression Detection in Social Media and Clinical Texts: A Comparative Study
Karima Bouchriha, Ibrahim Guelzim, Badr Hirchoua et al. IEEE International Conference on Emerging Trends in Engineering and Computing (ETECOM), 2025. Cites: paper -
Heart Disease Prediction Using Demographic and Clinical Parameters: A Comprehensive Analysis
Madhu Shukla, Vipul Ladva, Simrin Fathima Syed et al. Lecture notes in networks and systems, 2025. Cites: paper -
How Long do the Heart Failure Inpatients Stay in ICU? Temporal Comorbidity Networks to Assist Clinical Decision Support Systems
Liang Ye, Yalong Cao, Chonghui Guo et al. Information Systems Frontiers, 2025. Cites: paper -
HypKG: Hypergraph-Based Knowledge Graph Contextualization for Precision Healthcare
Yuzhang Xie, Xu Han, Ran Xu et al. Lecture notes in computer science, 2025. Cites: paper -
Energy-Based Model for Accurate Estimation of Shapley Values in Feature Attribution
Cheng Lü, Jiusun Zeng, Yu Cheng Xia et al. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025. Cites: paper -
Similarity-Based Multivariate Data Completion Framework for Emergency Rescue Sensors
Yayong Shi, Rui Wang, Yida Zhang et al. IEEE Transactions on Computers, 2025. Cites: paper -
Estimating the Risk of Depression and Care Burden among Dementia Caregivers: A Feasibility Study
Omid Ghadami, Kruthika Gaddam, Mahesh Moodukonaje et al. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2025. Cites: paper -
Exploring the Impact of Supervised Multimodal Learning on the Performance and Explainability of Pediatric Brain Tumor Molecular Diagnosis
Sara Ketabi, Matthias W. Wagner, Cynthia E Hawkins et al. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2025. Cites: paper -
Leveraging deep active learning to annotate the first public dataset for identification of mobility functioning information in clinical text
Tuan-Dung Le, Zhuqi Miao, Samuel Alvarado et al. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2025. Cites: paper -
MIMIC-Sepsis: A Curated Benchmark for Modeling and Learning from Sepsis Trajectories in the ICU
Yong Huang, Zhongqi Yang, Amir M. Rahmani. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2025. Cites: paper -
A Comprehensive Benchmark for Electrocardiogram Time-Series
Z. Tang, Jiaxin Qi, Yuhua Zheng et al. ACM International Conference on Multimedia (ACM MM), 2025. Cites: paper -
Continuous, noninvasive blood pressure estimation using forehead NIRS-PPG and LSTM-CNN deep learning
John Sunwoo, Zahra Einalou, Mehrdad Dadgostar et al. Biomedical Signal Processing and Control, 2025. Cites: paper -
Development of a machine learning-based prediction model for acute kidney injury associated with respiratory failure in the intensive care unit
Qin Hu, Qimeng Wu, Jiaxiong Tan et al. Clinical and Experimental Medicine, 2025. Cites: paper -
Multimodal large language models in medical research and clinical practice: Development, applications, challenges and future
Peng Jun Xu, Shuang Xiang Kan, Jing Jin et al. Neurocomputing, 2025. Cites: paper -
Revisiting the numerical feature embeddings structure in neural network-based tabular modelling
Weihao Gao, Zheng Gong, Zhuo Deng et al. Knowledge-Based Systems, 2025. Cites: paper -
Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models: Quantitative Study Using Large Language Models
Tabinda Sarwar, Antonio Jimeno Yepes, Lawrence Cavedon. Journal of Medical Internet Research, 2025. Cites: paper -
Scaling up biomedical vision-language models: Fine-tuning, instruction tuning, and multi-modal learning
Peng Cheng, Kai Zhang, Mengxian Lyu et al. Journal of Biomedical Informatics, 2025. Cites: paper -
Applying Natural Language Processing to Short Medical Notes from Mexican Health Units to Detect Suicidal Behaviors
Juan Carlos Villagomez-Garcia, Ansel Y. Rodríguez‐González, Juan Martı́nez-Miranda. Lecture notes in computer science, 2025. Cites: paper -
CardioAI-Risk: An Interpretable and Fair Machine Learning Pipeline for Personalized Cardiovascular Risk Stratification
Al Mamun, Farhan Tanvir, Effat Ara et al. IEEE International Conference on Computing, Applications and Systems (COMPAS), 2025. Cites: paper -
Identifying Novel Phenotypes of Renal Recovery and Progression in Sepsis-Associated Acute Kidney Injury: A Dynamic Time Warping Clustering Study in MIMIC-III
Avichandra Singh Ningthoujam, Gomathi Thiyagarajan, Pragya Vaishnav et al. Research Square, 2025. Cites: paper -
Imputing missing multi-sensor data in the healthcare domain: A systematic review
Vaibhav Gupta, Florian Grensing, Beyza Cinar et al. Image and Vision Computing, 2025. Cites: paper -
Research on the Application of Federated Learning Based on CG-WGAN in Gout Staging Prediction
Jun-Bo Wang, Kaiqi Zhang, Zhibo Guan et al. Computers, 2025. Cites: paper -
Unlocking Health Data for Research: Legal, Technical, and Organisational Lessons from a Belgian Interdisciplinary Case Study
Audrey Van Scharen, Karen Cruyt, Jeroen Colon et al. Journal of Healthcare Informatics Research, 2025. Cites: paper
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.