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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A Data-Driven Approach for Stylolite Detection
Jianzhong Cheng, Bohao He, Roland Nicholas Horne. SPE Journal, 2024. Cites: paper -
A Meta-learning-based Domain-invariant Method for Cuff-less Blood Pressure Estimation
Jinpeng Guo, Feiyi Fan, Renju Liu et al. IEEE Smart World Congress (SWC), 2024. Cites: paper -
Healthcare Data Sensitivity Assessment Through Biomedical NLP-Driven Classification and Statistical Feature Analysis
Manoj Dhawan, Lalit Purohit. SN Computer Science, 2024. Cites: paper -
A Novel Non-Invasive Cuff-Less Method for Continuous Blood Pressure Estimation Using Machine Learning and Photoplethysmography
Ren Xiang Yak, Zi Heng Ng, Zhi Qing Looi et al. IEEE Region 10 Conference (TENCON), 2024. Cites: paper -
A systematic review of the foundations, applications, and challenges of federated learning
Hadi Fateh, Mohsen Rezvani, Esmaeel Tahanian. Archives de l'Institut d'Hessarek., 2024. Cites: paper -
Evaluating long-term usage patterns of open source datasets: A citation network approach
Jiaheng Peng, Fanyu Han, Wei Wang. BenchCouncil Transactions on Benchmarks Standards and Evaluations, 2024. Cites: paper -
Interpretable model committee for monitoring and early prediction of intracranial pressure crises
Cyprian Mataczyński, Agnieszka Kazimierska, Erta Beqiri et al. Expert Systems with Applications, 2024. Cites: paper -
Performance of machine learning versus the national early warning score for predicting patient deterioration risk: a single-site study of emergency admissions
Matthew Watson, Stelios Boulitsakis Logothetis, Darren Green et al. BMJ Health & Care Informatics, 2024. Cites: paper -
Quick-MIMIC: A Multimodal Data Extraction Pipeline for MIMIC with Parallelization
Yutao Dou, Wei Li, Yangtao Zheng et al. Big Data Mining and Analytics, 2024. Cites: paper -
Time-uniform central limit theory and asymptotic confidence sequences
Ian Waudby-Smith, David T. Arbour, Ritwik Sinha et al. The Annals of Statistics, 2024. Cites: paper -
Cross-modal contrastive learning for predicting sepsis onset in Medical Internet of Things (MIoT)
Yuh‐Shyan Chen, Wei-Hsu Wang, Ching-Ting Hu et al. Internet of Things, 2024. Cites: paper -
Deep-Learning Model for Mortality Prediction of ICU Patients with Paralytic Ileus
Martha Razo, Maryam Pishgar, William Galanter et al. Bioengineering, 2024. Cites: paper -
Frequency information enhanced half instance normalization network for denoising electrocardiograms
Ning Gao, Yurong Li, Nan Zheng et al. Biomedical Signal Processing and Control, 2024. Cites: paper -
Adversarial networks—enhancing current methodology with new models
Himanshu Arora, Derek Van Booven, Cheng‐Bang Chen. Elsevier eBooks, 2024. Cites: paper -
Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare
Weiqing He, Ying Ding, Kaixiong Zhou et al. Europe PMC (PubMed Central), 2024. Cites: paper -
MetaBP: A Meta-Learning Approach for Contact-Based Blood Pressure Measurement via Camera on Smart Devices
Weihao Zhang, Xinyan Zhou, Dingxin Yu et al. IEEE Internet of Things Journal, 2024. Cites: paper -
Multi-criteria Bayesian optimization of Empirical Mode Decomposition and hybrid filters fusion for enhanced ECG signal denoising and classification: Cardiac arrhythmia and myocardial infarction cases
Dounia Bentaleb, Zakaria Khatar. Computers in Biology and Medicine, 2024. Cites: dataset -
Non-linear relationship between platelet count and 28-day mortality in critically ill patients with infective endocarditis: a retrospective cohort study from MIMIC IV database
Yingxiu Huang, Ting Ao, Zhen Peng et al. Frontiers in Cardiovascular Medicine, 2024. Cites: paper -
Knowledge mining of brain connectivity in massive literature based on transfer learning
Xiaokang Chai, Sile An, Simeng Chen et al. Bioinformatics, 2024. Cites: paper -
Harnessing Machine Learning and Deep Learning in Healthcare From Early Diagnosis to Personalized Treatment
Ajay Kumar Sharma, Devendra Babu Pesarlanka, Shamneesh Sharma. Advances in healthcare information systems and administration book series, 2024. Cites: paper -
Precision Opioid Prescription in ICU Surgery: Insights from an Interpretable Deep Learning Framework
Xiaoning Zhu, Isaac Luria, Patrick James Tighe et al. Journal of Surgery, 2024. Cites: paper -
A Primer on Reinforcement Learning in Medicine for Clinicians
Pushkala Jayaraman, Jacob M. Desman, Moein Sabounchi et al. npj Digital Medicine, 2024. Cites: paper -
Natural language processing data services for healthcare providers
Joshua Au Yeung, Anthony Shek, Thomas Searle et al. BMC Medical Informatics and Decision Making, 2024. Cites: paper -
Artificial Intelligence-Based Early Prediction of Acute Respiratory Failure in the Emergency Department Using Biosignal and Clinical Data
Changho Han, Yun Jung Jung, Ji Eun Park et al. Yonsei Medical Journal, 2024. Cites: paper -
Serum total calcium levels as a non-linear predictor of in-hospital mortality in heart failure patients: insights from a retrospective cohort study
Jing Song, Guojuan Xu. BMC Cardiovascular Disorders, 2024. Cites: paper -
The impact of dexamethasone on short- and long-term mortality in hospitalized COVID-19 patients: a retrospective study
Jianping Zhao, Hui Hua Jiang, Hong Hong Wan et al. BMC Infectious Diseases, 2024. Cites: paper -
The Need for Standards in Evaluating the Quality of Electronic Health Records and Dental Records: A Narrative Review
Varadraj Prabhu Gurupur, Giang T. Vu, Veena Mayya et al. Big Data and Cognitive Computing, 2024. Cites: paper -
Vitamin D supplementation can improve the 28-day mortality rate in patients with sepsis-associated acute kidney injury
Lei Chen, Tiantian Zhou, Chenwei Lv et al. Renal Failure, 2024. Cites: paper -
Causal Discovery from Temporal Data: An Overview and New Perspectives
Chang Gong, Chuzhe Zhang, Di Yao et al. ACM Computing Surveys, 2024. Cites: paper -
Comparisons are odious
Marcos Valiente Fernández, Alejandro Caballo Manuel, José Ginestal Calvo et al. Medicina Intensiva, 2024. Cites: paper -
Deep reinforcement learning extracts the optimal sepsis treatment policy from treatment records
Yunho Choi, Songmi Oh, Jin Won Huh et al. Communications Medicine, 2024. Cites: paper -
A data-driven framework for identifying patient subgroups on which an AI/machine learning model may underperform
Adarsh Subbaswamy, Berkman Sahiner, Nicholas Petrick et al. npj Digital Medicine, 2024. Cites: paper -
A Hybrid Model using Fire Module for ECG-based Human Identification : Hybrid Model for ECG-based Human Identification
Ritu Nazneen Ara Begum, Ambalika Sharma, G.K. Singh. International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS), 2024. Cites: paper -
GAN-Powered Predictive Analytics for the Detection and Diagnosis of Tuberculosis
Neda Fatima, Shobhit Kapoor, Shiva. IEEE Delhi Section Conference (DELCON), 2024. Cites: paper -
TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data
Siyi Du, Shaoming Zheng, Yinsong Wang et al. Lecture notes in computer science, 2024. Cites: paper -
Comparative Analysis of Frequent Pattern Mining Algorithms on Healthcare Data
Noor Zaman Jhanjhi. IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS), 2024. Cites: paper -
Creating an Empirical Dermatology Dataset Through Crowdsourcing With Web Search Advertisements
Abbi Ward, Jimmy Li, Julie Wang et al. JAMA Network Open, 2024. Cites: paper -
Ontology-Constrained Generation of Domain-Specific Clinical Summaries
Gaya Mehenni, Amal Zouaq. Lecture notes in computer science, 2024. Cites: paper -
Physiological signal analysis using explainable artificial intelligence: A systematic review
Jian Guo Shen, Jinwen Wu, Huajian Liang et al. Neurocomputing, 2024. Cites: paper -
Sparse attention is all you need for pre-training on tabular data
Tokimasa Isomura, Ryotaro Shimizu, Masayuki Goto. Neural Computing and Applications, 2024. Cites: paper -
An Attention-Based Model for Clinical Time Series Prediction: Enhancing ICU Readmission Prediction
Hananeh Sadat Madinei, Mohammad Reza Keyvanpour, Seyed Vahab Shojaedini. International Conference on Computer and Knowledge Engineering, 2024. Cites: paper -
Detecting critical diseases associated with higher mortality in electronic health records using a hybrid attention-based transformer
Dheeraj Kodati, Chandra Mohan Dasari. Engineering Applications of Artificial Intelligence, 2024. Cites: paper -
TCKAN: a novel integrated network model for predicting mortality risk in sepsis patients
Fanglin Dong, Shibo Li, Weihua Li. Medical & Biological Engineering & Computing, 2024. Cites: paper -
Reproducible Evaluation Framework for Sepsis Treatment Strategies Learned via Offline Reinforcement Learning
Larry Preuett, Ankur M. Teredesai. IEEE International Conference on E-health Networking, Application & Services (HealthCom), 2024. Cites: paper -
LMGA: Lightweight multi-graph augmentation networks for safe medication recommendation
Xingxu Fan, Xiaomei Yu, Xue Li et al. Journal of King Saud University - Computer and Information Sciences, 2024. Cites: paper -
AgentMV: A Deep Reinforcement Learning Model For Mechanical Ventilation
Zhichen Zhu, Du Jiang, Yixiang Chen. IEEE International Conference on Medical Artificial Intelligence (MedAI), 2024. Cites: paper -
Fuzzy Linguistic Concept Rule Extraction Algorithm for Ventilator-Associated Complications in Patients with Acute Respiratory Failure
Ning Kang, Zhichen Zhu, Ziyi Jin et al. IEEE International Conference on Medical Artificial Intelligence (MedAI), 2024. Cites: paper -
Generative AI Models in Time-Varying Biomedical Data: Scoping Review
Rosemary He, Varuni Sarwal, Xinru Qiu et al. Journal of Medical Internet Research, 2024. Cites: paper -
Human-Level Knowledge and Concept Acquisition
Tatsuya Harada, Lin Gu, Yusuke Mukuta et al. Springer eBooks, 2024. Cites: paper -
Hyper-Relational Knowledge Enhanced Network for Hypertension Medication Recommendation
Ke Zhang, Zhichang Zhang, Wei Wang et al. IEEE Transactions on Computational Social Systems, 2024. Cites: paper
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.