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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Blockchain Enabled Federated Learning Framework for Privacy-Preserved Electronic Health Record
Abdul Mazid, Vijayant Pawar, Amrendra Singh Yadav. IEEE Communications Standards Magazine, 2025. Cites: paper -
Can AI Bridge the Health Literacy Gap? An Analysis of Requirements and Opportunities
Mouheb Mehdoui, Amel Fraisse, Jinie Pak et al. IEEE/ACIS International Conference on Software Engineering Research, Management and Applications (SERA), 2025. Cites: paper -
Ensuring Secure Data Environment in IoT-Based Remote Monitoring
Mukul Chauhan, Tayyab Khan. International Conference on Networks and Cryptology (NETCRYPT), 2025. Cites: paper -
Federated learning using a memristor compute-in-memory chip with in situ physical unclonable function and true random number generator
Xueqi Li, Bin Gao, Qi Qin et al. Nature Electronics, 2025. Cites: paper -
Healthcare federated learning: a survey of applications and frameworks
Vineetha Pais, Santhosha Rao, Balachandra Muniyal. International Journal of Computers and Applications, 2025. Cites: paper -
Модель алгоритму багатокритеріального сортування даних з їх динамічно-наслідковим обмеженням переміщень
В. Р. Турчак, Oleksandr Ovsyak. Науковий вісник НЛТУ України, 2025. Cites: paper -
A Methodology for Building a Medical Ontology with a Limited Domain Experts’ Involvement
Sabrina Azzi. Digital, 2025. Cites: paper -
Beyond EHRs: External Clinical knowledge and cohort Features for medication recommendation
Yanda Wang, Weitong Chen, Lin Yue et al. Knowledge-Based Systems, 2025. Cites: paper -
Multi-Scale Spatiotemporal Dynamic Graph Neural Network for Early Prediction of Mortality Risks in Heart Failure Patients
Longfei Liu, Rongqin Chen, Jifu Qu et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper -
PathCare: Integrating Clinical Pathway Information to Enable Healthcare Prediction at the Neuron Level
Dehao Sui, Lei Gu, Chaohe Zhang et al. Bioengineering, 2025. Cites: paper -
Precision applied behavior analysis intervention for autism spectrum disorder using natural language processing and graph centrality
Manu Kohli, Monica Juneja, Manushree Gupta et al. Biomedical Signal Processing and Control, 2025. Cites: paper -
Sensor Fusion Using 1D-CNNs in Atrial Fibrillation Detection and Decision Support
Arlene John. IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2025. Cites: paper -
Applicability Assessment of Technologies for Predictive and Prescriptive Analytics of Nephrology Big Data
Riste Stojanov, Milos Jovanovik, Sasho Gramatikov et al. PROTEOMICS, 2025. Cites: paper -
Comparing Text-Based Clinical Risk Prediction in Critical Care: A Note-Specific Hierarchical Network and Large Language Models
Jinghui Liu, Anthony N Nguyen, Daniel Capurro N et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper -
Machine learning models for predicting in-hospital mortality from acute pancreatitis in intensive care unit
Shuxing Wei, Hongmeng Dong, Weidong Yao et al. BMC Medical Informatics and Decision Making, 2025. Cites: paper -
DataToCare: Predicting Treatments for Intensive Care Unit Patients Based on Similarity of Abnormalities
Shan Randhawa, Abbas Shojaee, Elisa Sorrentino et al. Algorithms, 2025. Cites: paper -
Predicticare An Intelligent System For Early Disease Detection
Computer Science Engineering and Technology, 2025. Cites: paper -
Balanced Knowledge Transfer in MTTL-ClinicalBERT: A Symmetrical Multi-Task Learning Framework for Clinical Text Classification
Qun Zhang, Shiyang Chen, Wenhe Liu. Symmetry, 2025. Cites: paper -
Predicting Mortality in Atrial Fibrillation Patients Treated with Direct Oral Anticoagulants: A Machine Learning Study Based on the MIMIC-IV Database
Łukasz Ledziński, Elżbieta Grześk, Małgorzata Ledzińska et al. Journal of Clinical Medicine, 2025. Cites: paper -
XVPE-Net: A Novel Methodology for Interpretable Vital Parameter and Cuffless Blood Pressure Estimation from PPG Signal
Rahul Kumar Verma, Pabitra Das, Surita Sarkar et al. IEEE International Symposium on Circuits and Systems proceedings, 2025. Cites: paper -
An interpretable deep learning framework for predicting hospital readmissions from electronic health records
Fabio Azzalini, Tommaso Dolci, Marco Vagaggini. Smart Health, 2025. Cites: paper -
Chronic obstructive pulmonary disease is associated with a higher incidence of acute kidney injury in non-cardiac but not in cardiac surgery ICU-patients: a retrospective MIMIC-III database analysis
Nadine Hochhausen, Ajay Kumar Moza, Andreas Kroh et al. Respiratory Medicine, 2025. Cites: paper -
Creating, anonymizing and evaluating the first medical language model pre-trained on Dutch Electronic Health Records: MedRoBERTa.nl
Stella Verkijk, Piek T. J. M. Vossen. Artificial Intelligence in Medicine, 2025. Cites: paper -
NeuroBPNet: A Physiological-Informed Deep Learning Framework for Continuous Blood Pressure Estimation Using Multimodal PPG and ECG Signals
Xia Yu, Ting Wang, Liqiang Zhang et al. International Conference on Bioinformatics and Biomedical Technology (ICBBT), 2025. Cites: paper -
Optimizing the power of AI for fracture detection: from blind spots to breakthroughs
Shima Behzad, Liesl S. Eibschutz, Max Yang Lu et al. Skeletal Radiology, 2025. Cites: paper -
A Comprehensive Big Data Analytics Architecture and System for Disease Prediction in Healthcare IoT Systems
Ihab Nassra, Juan Vicente Capella. Preprints.org, 2025. Cites: paper -
Multi-source medical knowledge adaptive fusion network for combinatorial medication recommendation
Yiming Zhou, Jiedong Wei, Xiaodi Hou et al. Applied Intelligence, 2025. Cites: paper -
Using Traditional and Deep Machine Learning to Predict Emergency Room Triage Levels
Mehmet Yıldırım, Savaş Sezik, Ayşe Başar. Journal of Computational Biology, 2025. Cites: paper -
Admission braden scale is an effective marker for predicting pneumonia in critically ill patients with traumatic brain injury
Xuelian Meng, Xia Li, Zhihong Tang. Neurosurgical Review, 2025. Cites: paper -
Exploring the Robustness of Stable Diffusion in Chest X-ray Generation from Text Prompts
J Ananya, Stuthi Udupa, Praakhya Avasthi et al. International Conference on Computer Technology Applications (ICCTA), 2025. Cites: paper -
A survey on biomedical automatic text summarization with large language models
Zhenyu Huang, Xianlai Chen, Yunbo Wang et al. Information Processing & Management, 2025. Cites: paper -
Variants of uncertain significance: At the crux of diagnostic odyssey
Akshaykumar Zawar, Gautham Manoj, Pramod P Nair et al. Gene, 2025. Cites: paper -
Collaborative Imputation for Multivariate Time Series with Convergence Guarantee
Yu Ming Sun, Xinyu Yang, Shaoxu Song et al. IEEE International Conference on Data Engineering (ICDE), 2025. Cites: paper -
Generative AI mitigates representation bias and improves model fairness through synthetic health data
Raffaele Marchesi, Nicolo Micheletti, Nicholas I-Hsien Kuo et al. PLoS Computational Biology, 2025. Cites: paper -
Leveraging NLP for Disease Diagnosis and Symptom Analysis
Tony Thomas. International Journal for Research in Applied Science and Engineering Technology, 2025. Cites: paper -
PFCA: Efficient Path Filtering with Causal Analysis for Healthcare Risk Prediction
Hao Wang, Jiyun Shi, Yuhao Chen et al. IEEE International Conference on Data Engineering (ICDE), 2025. Cites: paper -
Smart Urbanism Through Artificial Intelligence (AI)‐Megaprojects: The Case of China's Healthcare Services
Zongtian Guo, Federico Cugurullo. Public Administration and Development, 2025. Cites: paper -
Stress hyperglycemia ratio linked to all-cause mortality in critically ill patients with ischemic heart disease
Tao Liu, Lili Wang, Hao Zhang et al. BMC Cardiovascular Disorders, 2025. Cites: paper -
Lexical associations can characterize clinical documentation trends related to palliative care and metastatic cancer
Hao Yuan Yang, Karthik Raghunathan, Eric Widera et al. Scientific Reports, 2025. Cites: paper -
Causal inference model for accurate medical diagnosis in Coronary Artery Bypass Graft operation
Qiyi Zhang, Wei Zhang, Qiang Li et al. Artificial Intelligence in Medicine, 2025. Cites: paper -
Flexible imputation toolkit for electronic health records
Alireza Vafaei Sadr, Jiang Li, Wenke Hwang et al. Scientific Reports, 2025. Cites: paper -
Social determinants of health extraction from clinical notes across institutions using large language models
Vipina K. Keloth, Salih Selek, Qingyu Chen et al. npj Digital Medicine, 2025. Cites: paper -
AI-Enabled Diagnostic Prediction within Electronic Health Records to Enhance Biosurveillance and Early Outbreak Detection
André Ricardo Gonçalves, Jose Cadena Pico, Yeping Hu et al. medRxiv, 2025. Cites: paper -
AutoGluon-Assisted Multi-Stage ML Pipeline for Early Diagnosis of Complex Diseases Using Genomic and EHR Data
Manas Kumar Swain, Narendra Kumar Kamila, Lambodar Jena et al. International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC), 2025. Cites: paper -
FedWeight: mitigating covariate shift of federated learning on electronic health records data through patients re-weighting
He Zhu, Jun Bai, Na Li et al. npj Digital Medicine, 2025. Cites: paper -
Knowledge-Driven Chain of Thought for Explainable Medical Visual Question Answering
Ke Huang, Chen Qiu. International Conference on Intelligent Computing and Robotics (ICICR), 2025. Cites: paper -
Radiology-GPT: A large language model for radiology
Zhengliang Liu, Yiwei Li, Peng Shu et al. Meta-Radiology, 2025. Cites: paper -
Secondary use of health records for prediction, detection, and treatment planning in the clinical decision support system: a systematic review
Dipendra Pant, Øystein Nytrø A, BENNETT L. LEVENTHAL et al. BMC Medical Informatics and Decision Making, 2025. Cites: paper -
The "Silent" Failures of Scoring CDSS: Challenge in Detecting Malfunctions
Hung-Ju Kuo, Abdul Roudsari, Hung-Wen Chiu et al. International Conference on Medical and Health Informatics (ICMHI), 2025. Cites: paper -
Wearable IoT-based Health Monitoring System with AI-Driven Alerts for Real-Time Patient Anomaly Detection
N. Vithyalakshmi, Sharada Prasad N, Mahesh Kumar A. S et al. International Conference on Data Science and Information System (ICDSIS), 2025. Cites: paper
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