Publications citing MIMIC-III Waveform Database v1.0

Beyond Quantity
Sudmann, Andreas 1974-, Echterhölter, Anna, Ramsauer, Markus et al. AI critique, 2023. Cites: paper

Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
Max Hort, Zhenpeng Chen, Jie M. Zhang et al. ACM Journal on Responsible Computing, 2023. Cites: paper

Exploring Horizontal Scaling Solutions to Enhance CryptDB Performance under High Concurrency on AWS
Santiago García Bautista, Gabriela Suntaxi. IEEE International Conference on Electronics, Electrical Engineering and Computing (INTERCON), 2023. Cites: paper

Death comes but why: A multi-task memory-fused prediction for accurate and explainable illness severity in ICUs
Weitong Chen, Wei Emma Zhang, Lin Yue. World Wide Web, 2023. Cites: paper

Interpretive Clinical Measurements Prediction and Diagnosis in ICU with Multi-Task Attention-Guided Sequential Feature Learning
Peng Zhao, Yan Xiao, Yuqing Lei et al. Asian Conference on Artificial Intelligence Technology (ACAIT), 2023. Cites: paper

LIFE: A Deep Learning Framework for Laboratory Data Imputation in Electronic Health Records
Samuel P. Heilbroner, Curtis Carter, David Vidmar et al. medRxiv, 2023. Cites: paper

Online model selection by learning how compositional kernels evolve.
Eura Shin, Predrag Klasnja, Susan A. Murphy et al. PubMed, 2023. Cites: paper

TSGBench: Time Series Generation Benchmark
Yihao Ang, Qiang Huang, Yifan Bao et al. Proceedings of the VLDB Endowment, 2023. Cites: paper

Enhancing Drug Recommendations Via Heterogeneous Graph Representation Learning in EHR Networks
Haijun Zhang, Xian Yang, Liang Bai et al. IEEE Transactions on Knowledge and Data Engineering, 2023. Cites: paper

Identifying Functional Status Impairment in People Living With Dementia Through Natural Language Processing of Clinical Documents: Cross-Sectional Study
John Novoa-Laurentiev, Dae Hyun Kim, Mufaddal Mahesri et al. Journal of Medical Internet Research, 2023. Cites: paper

MedCPT: Contrastive Pre-trained Transformers with large-scale PubMed search logs for zero-shot biomedical information retrieval
Qiao Jin, Won Kim, Qingyu Chen et al. Bioinformatics, 2023. Cites: paper

KAMPNet: multi-source medical knowledge augmented medication prediction network with multi-level graph contrastive learning
Yang An, Haocheng Tang, Bo Jin et al. BMC Medical Informatics and Decision Making, 2023. Cites: paper

Optimizing Heterogeneity in IoT Infra Using Federated Learning and Blockchain-based Security Strategies
Venkatesan Muthukumar, R. Sivakami, Vinoth Kumar Venkatesan et al. International Journal of Computers Communications & Control, 2023. Cites: paper

Artificial General Intelligence (AGI) for Medical Education and Training
Kennedy g Lema. 2023. Cites: paper

Development and validation of a nomogram for predicting pulmonary infections after Intracerebral hemorrhage in elderly people
Yang Liu, Lu Zhao, Xing‐Ping Li et al. Journal of Stroke and Cerebrovascular Diseases, 2023. Cites: paper

Effect of Photoplethysmogram Signal Preprocessing on Predicting Blood Pressure by Deep Learning
Qi-Gui Huang, Lei Wang. IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE), 2023. Cites: paper

GenHPF: General Healthcare Predictive Framework for Multi-Task Multi-Source Learning
Kyunghoon Hur, Jungwoo Oh, Junu Kim et al. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

Prediction of coronary heart disease risk based on multimodal EHRs
Manfu Ma, Xuegang Wang. International Conference on Health Big Data and Intelligent Healthcare (ICHIH), 2023. Cites: paper

Exploring Complex Survival Data through Frailty Modeling and Regularization
Xifen Huang, Jinfeng Xu, Yunpeng Zhou. Mathematics, 2023. Cites: paper

LGFat-RGCN: Faster Attention with Heterogeneous RGCN for Medical ICD Coding Generation
Zhenghan Chen, Changzeng Fu, Ruoxue Wu et al. ACM International Conference on Multimedia (ACM MM), 2023. Cites: paper

Prescription Recommendation based on Intention Retrieval Network and Multimodal Medical Indicator
Feng Gao, Yao Chen, Maofu Liu. 2023. Cites: paper

A Large Language Model Screening Tool to Target Patients for Best Practice Alerts: Development and Validation
Thomas Savage, John E. Wang, Lisa Y. Shieh. JMIR Medical Informatics, 2023. Cites: paper

Developing a Machine Learning Algorithm for Improved Management of Congestive Heart Failure Patients in the Emergency Department
Karamo Bah, Amadou Wurry Jallow, Adama Ns Bah et al. Journal of Cardiology and Cardiovascular Medicine, 2023. Cites: paper

Leveraging Historical Medical Records as a Proxy via Multimodal Modeling and Visualization to Enrich Medical Diagnostic Learning
Yang Ouyang, Yuchen Wu, He Wang et al. IEEE Transactions on Visualization and Computer Graphics, 2023. Cites: paper

TADA: Temporal-aware Adversarial Domain Adaptation for patient outcomes forecasting
Chang’an Yi, Haotian Chen, Yonghui Xu et al. Expert Systems with Applications, 2023. Cites: paper

Knowledge mapping and research hotspots of artificial intelligence on ICU and Anesthesia: from a global bibliometric perspective
Congjun Li, Ruihao Zhou, Guo Chen et al. Anesthesiology and Perioperative Science, 2023. Cites: paper

Enabling Health Data Sharing with Fine-Grained Privacy
Luca Bonomi, Sepand Gousheh, Liyue Fan. ACM International Conference on Information and Knowledge Management (CIKM), 2023. Cites: paper

PetBERT: automated ICD-11 syndromic disease coding for outbreak detection in first opinion veterinary electronic health records
Sean Farrell, Charlotte Appleton, Peter‐John M. Noble et al. Scientific Reports, 2023. Cites: paper

Contrastive Learning-Based Time Series Classification in Healthcare
Zhihong Liu, Xiaofeng Liu, Xiang Zhang et al. International Symposium on Artificial Intelligence for Medicine Sciences (ISAIMS), 2023. Cites: paper

Machine learning in medication prescription: A systematic review
Alexa Iancu, Ines Leb, Hans‐Ulrich Prokosch et al. International Journal of Medical Informatics, 2023. Cites: paper

Time pattern reconstruction for classification of irregularly sampled time series
Chenxi Sun, Hongyan Li, Moxian Song et al. Pattern Recognition, 2023. Cites: paper

Detecting Rises in SBP from PPG for Identifying Autonomic Dysreflexia
Weinan Wang, Kevin L. Kilgore, Pedram Mohseni et al. IEEE Biomedical Circuits and Systems Conference (BioCAS), 2023. Cites: paper

Extracting Drug Names from Medical Reports
Árpád Pándy, Balázs Harangi, András Hajdú. IEEE International Conference on Computer Sciences and Information Technologies (CSIT), 2023. Cites: paper

Extracting Drug Names From Medical Reports
Árpád Pándy, Balázs Harangi, András Hajdú. IEEE International Conference on Computer Sciences and Information Technologies (CSIT), 2023. Cites: paper

Federated Learning for Healthcare Applications
Ahmad Chaddad, Yihang Wu, Christian Desrosiers. IEEE Internet of Things Journal, 2023. Cites: paper

Learning to Behave
Floris den Hengst. 2023. Cites: paper

Multi-Gate Mixture of Multi-View Graph Contrastive Learning on Electronic Health Record
Yu Cao, Qian Wang, Xu Wang et al. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

Interpretable Disease Prediction via Path Reasoning over medical knowledge graphs and admission history
Zongbao Yang, Yuchen Lin, Yinxin Xu et al. Knowledge-Based Systems, 2023. Cites: paper

Joint Representation Learning with Generative Adversarial Imputation Network for Improved Classification of Longitudinal Data
Sharon Torao Pingi, Duoyi Zhang, Md Abul Bashar et al. Data Science and Engineering, 2023. Cites: paper

The Impact of Hyperledger Fabric Setup on Blockchain Performance when Using Large Volumes of Heterogeneous Medical Data
Ana Caroline Fernandes Spengler, Paulo Sérgio Lopes de Souza. Simpósio em Sistemas Computacionais de Alto Desempenho (SSCAD), 2023. Cites: paper

A new efficient ALignment-driven Neural Network for Mortality Prediction from Irregular Multivariate Time Series data
Nzamba Bignoumba, Nédra Mellouli, Sadok Ben Yahia. Expert Systems with Applications, 2023. Cites: paper

ArterialNet: Arterial Blood Pressure Reconstruction
Sicong Huang, Roozbeh Jafari, Bobak J. Mortazavi. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2023. Cites: paper

Interpretable Disease Prediction from Clinical Text by Leveraging Pattern Disentanglement
Malikeh Ehghaghi, Pei-Yuan Zhou, Wendy Yusi Cheng et al. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2023. Cites: paper

SiaKey: A Method for Improving Few-shot Learning with Clinical Domain Information
Zhuochun Li, Khushboo Maulikmihir Thaker, Daqing He. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2023. Cites: paper

Towards Accurate and Clinically Meaningful Summarization of Electronic Health Record Notes: A Guided Approach
Zhimeng Luo, Yuelyu Ji, Abhibha Gupta et al. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2023. Cites: paper

EHR-KnowGen: Knowledge-enhanced multimodal learning for disease diagnosis generation
Shuai Niu, Jing Ma, Liang Bai et al. Information Fusion, 2023. Cites: paper

Künstliche Intelligenz – Fokus Intensivmedizin
Paul Köglberger. Anästhesie Nachrichten, 2023. Cites: paper

PATNet: Propensity-Adjusted Temporal Network for Joint Imputation and Prediction Using Binary EHRs With Observation Bias
Kejing Yin, Dong Qian, William K. Cheung. IEEE Transactions on Knowledge and Data Engineering, 2023. Cites: paper

PPG-Based Continuous BP Waveform Estimation Using Polarized Attention-Guided Conditional Adversarial Learning Model
Chenbin Ma, Yangfan Xu, Peng Zhang et al. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

Digital Determinants of Health: Health data poverty amplifies existing health disparities—A scoping review
Kenneth Paik, Rachel Hicklen, Fred Kaggwa et al. PLOS Digital Health, 2023. Cites: paper

Cited by