Publications citing MIMIC-III Waveform Database v1.0

Severity of error in hierarchical datasets
Satwik Srivastava, Deepak Mishra. Scientific Reports, 2023. Cites: paper

Harnessing Large Language Models in Medical Research and Scientific Writing: A Closer Look to The Future
Mohammad Abu‐Jeyyab, Sallam Alrosan, Ibraheem M. Alkhawaldeh. High Yield Medical Reviews, 2023. Cites: paper

A Novel Classification Model for Automatic Multi-Label ICD Coding via BERT-LSTM
Luhan Wen, Dongmei Zhou, Hao Luo et al. 2023. Cites: paper

LI-EMRSQL: Linking Information Enhanced Text2SQL Parsing on Complex Electronic Medical Records
Qing Li, Tao You, Jinchao Chen et al. IEEE Transactions on Reliability, 2023. Cites: paper

Fair Machine Learning with Structured and Unstructured Features: A Case Study in Mortality Prediction
Hanyang Chen, Zhouting Zhao, Tin Lok James Ng. Irish Conference on Artificial Intelligence and Cognitive Science (AICS), 2023. Cites: paper

Machine Learning–Based Asthma Attack Prediction Models From Routinely Collected Electronic Health Records: Systematic Scoping Review
Arif Budiarto, Kevin C.H. Tsang, Andrew M. Wilson et al. JMIR AI, 2023. Cites: paper

Prognostic Modeling of Chronic Kidney Disease Progression: Bridging Mild and Severe Stages through a Machine Learning Approach
Karamo Bah, Amadou Wurry Jallow, Adama Ns Bah. Austin Journal of Clinical Case Reports, 2023. Cites: paper

ALGNet: Attention Light Graph Memory Network for Medical Recommendation System
Minh-Van Nguyen, Duy-Thinh Nguyen, Quoc-Huy Trinh et al. International Symposium on Information and Communication Technology, 2023. Cites: paper

A Survey of Generative Adversarial Networks for Synthesizing Structured Electronic Health Records
Ghadeer O. Ghosheh, Jin Li, Tingting Zhu. ACM Computing Surveys, 2023. Cites: paper

Calcium administration appears not to benefit acute pancreatitis patients with hypocalcemia
Tianao Yan, Yifei Ma, Zheng Wang et al. Journal of Hepato-Biliary-Pancreatic Sciences, 2023. Cites: paper

Context is not key: Detecting Alzheimer’s disease with both classical and transformer-based neural language models
Behrad TaghiBeyglou, Frank Rudzicz. Natural Language Processing Journal, 2023. Cites: paper

From Valves to Vessels: A Machine Learning Approach to Explore Heart Failure Risk in ICU Patients with Aortic Valve and Aortic Vascular Disorders
Karamo Bah, Adama Ns Bah, Amadou Wurry Jallow et al. Austin Journal of Nephrology and Hypertension, 2023. Cites: paper

Pipelined Ensemble Architecture for Mortality Prediction on MIMIC III
D. Malarvizhi, A. Prakash. Journal Of Advanced Zoology, 2023. Cites: paper

A Collaborative Cross-Attention Drug Recommendation Model Based on Patient and Medical Relationship Representations
Yourong Li, Yuliang Shi, Yide Jin et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

Advancing Precision Medicine: Treatment Regimen Recommendations via Siamese Neural Networks
Qianwen Meng, Yonghui Xu, Fanglin Zhu et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

Blood Pressure Estimation from Single Photoplethysmogram via Multi-modal Data Generation and Feature Fusion using Deep Learning
Tao Liu, Lin Shu, Yeyi Guan et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

Bridging the Gap: Cross-modal Knowledge Driven Network for Radiology Report Generation
Beichen Kang, Yun Xiong, Jianbo Jiao et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

CARE-30: A Causally Driven Multi-Modal Model for Enhanced 30-Day ICU Readmission Predictions
Linna Wang, Leyi Zhao, Zhanpeng Luo et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

Conservative Q-Learning for Mechanical Ventilation Treatment Using Diagnose Transformer-Encoder
Yuyu Yuan, Jinsheng Shi, Jincui Yang et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

DILM-ICD: A Deep Iterative Learning Model for Automatic ICD Coding
Weiyan Qiu, Yifan Wu, Yiming Li et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

E-HMFNet: A Knowledge-Enhanced Hierarchical Molecular Representation Fusion Network for Drug Recommendation
Junjie Zhang, Xuan Zang, Hao Chen et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

Enhancing Clinical Outcome Predictions through Auxiliary Loss and Sentence-Level Self-Attention
Sang-Hoon Lee, Gwanghoon Jang, Chanhwi Kim et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

Enhancing phenotype recognition in clinical notes using large language models: PhenoBCBERT and PhenoGPT
Jingye Yang, Cong Liu, Wendy Deng et al. Patterns, 2023. Cites: paper

HeartInsightify: Interpreting Longitudinal Heart Rate Data for Health Insights through Conformal Clustering
Prathamesh Dharangutte, Zongxing Xie, Jie Gao et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

Knowledge-Enhanced Difference-Aware Clinical Time Series Representation Learning for Diagnosis Prediction
Ying An, Yinghong Shi, Lin Guo et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

MKFN: Multimodal Knowledge Fusion Network for Automatic ICD Coding
Shilong Wang, Yijia Zhang, Xiaobo Li et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

Multi-Visit Interactive Recalibration Network for Drug Recommendation with a Triple Graph Encoder
Xiaobo Li, Yijia Zhang, Xiaodi Hou et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

Named Entity Recognition in Italian Lung Cancer Clinical Reports using Transformers
Domenico Paolo, Alessandro Bria, Carlo Greco et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

ParaMET: A Parallel Framework for Efficient Medical Data Extraction on Tianhe-NG Supercomputer
Yutao Dou, Yangtao Zheng, Dazheng Liu et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

Parsing Clinical Trial Eligibility Criteria for Cohort Query by a Multi-Input Multi-Output Sequence Labeling Model
Shubo Tian, Pengfei Yin, Hansi Zhang et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

TetraCVD: A Temporal-Textual Transformer based Model for Cardiovascular Disease Diagnosis
Kailong Lu, Fei Zhao, Penghuan Gu et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

Unlocking the Secrets Behind Advanced Artificial Intelligence Language Models in Deidentifying Chinese-English Mixed Clinical Text: Development and Validation Study
You-Qian Lee, Ching-Tai Chen, Chien-Chang Chen et al. Journal of Medical Internet Research, 2023. Cites: paper

Unsupervised extraction, classification and visualization of clinical note segments using the MIMIC-III dataset
Petr Zelina, Jana Halámková, Vít Nováček. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

Using annotation for computerized support for fast skimming of cardiology electronic health record notes
Mahshad Koohi H. Dehkordi, Shuxin Zhou, Yehoshua Perl et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

Deep Attention Q-Network for Personalized Treatment Recommendation
Simin Ma, Junghwan Lee, Nicoleta Serban et al. IEEE ... International Conference on Data Mining workshops, 2023. Cites: paper

Designing Effective ML Baseline Models using Ensemble and Probability Threshold Tuning Methods: A study on Cardiac Arrhythmia and Hospital Readmissions
Pooja P. Patel, Sanchita Juneja, Laura-Amira Talaat-Hamid et al. Research Square, 2023. Cites: paper

Risk Prediction of Opioid Dependency Using Machine Learning Based on Electronic Health Record
Samaneh Madanian, Sherry Dai, Priyadarshini Natarajan et al. IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), 2023. Cites: paper

Safe physical interaction with cobots: a multi-modal fusion approach for health monitoring
Bo Guo, Huaming Liu, Lei Niu. Frontiers in Neurorobotics, 2023. Cites: paper

A medical multimodal large language model for future pandemics
Fenglin Liu, Tingting Zhu, Xian Wu et al. npj Digital Medicine, 2023. Cites: paper

A Counterfactual Fair Model for Longitudinal Electronic Health Records via Deconfounder
Zheng Liu, Xiaohan Li, Philip S. Yu. Proceedings, 2023. Cites: paper

BiGRU-attention for Continuous blood pressure trends estimation through single channel PPG
Ziyi Liu, Yiming Zhang, Congcong Zhou. Computers in Biology and Medicine, 2023. Cites: paper

Counterfactual Explanations for Time Series Forecasting
Zhendong Wang, Ioanna Miliou, Isak Samsten et al. Proceedings, 2023. Cites: paper

Data Quality Aware Hierarchical Federated Reinforcement Learning Framework for Dynamic Treatment Regimes
Mingyi Li, Xiao Zhang, Haochao Ying et al. Proceedings, 2023. Cites: paper

Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression
Yanchao Tan, Zihao Zhou, Leisheng Yu et al. Proceedings, 2023. Cites: paper

Guideline-informed reinforcement learning for mechanical ventilation in critical care
Floris den Hengst, Martijn Otten, Paul Elbers et al. Artificial Intelligence in Medicine, 2023. Cites: paper

Predicting ICU Pressure Injuries with Historical Data: A Multivariate Time Series Approach
Lintai Cui, Liuqi Jin. IEEE International Conference on Knowledge Graph (ICKG), 2023. Cites: paper

Toward Context-Aware Federated Learning Assessment: A Reality Check
Hend K. Gedawy, Khaled A. Harras, Thang Hoai Bui et al. IEEE Internet of Things Journal, 2023. Cites: paper

A Bayesian Approach to Explore Risk Factors for Respiratory Dysfunction in Intensive Care Unit Patient
Norliyana Nor Hisham Shah, Normy Norfiza Abdul Razak, Asma Abu-Samah et al. JOIV International Journal on Informatics Visualization, 2023. Cites: paper

Hyperbolic graph convolutional neural network with contrastive learning for automated ICD coding
Yuzhou Wu, Xuechen Chen, Xin Yao et al. Computers in Biology and Medicine, 2023. Cites: paper

Interpretable Disease Progression Prediction Based on Reinforcement Reasoning Over a Knowledge Graph
Zhoujian Sun, Wei Dong, Jinlong Shi et al. IEEE Transactions on Systems Man and Cybernetics Systems, 2023. Cites: paper

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