Publications citing MIMIC-III Waveform Database Matched Subset v1.0

Extracting and structuring information from the electronic medical text: state of the art and trendy directions
Mohamed Yassine Landolsi, Lobna Hlaoua, Lotfi Ben Romdhane. Multimedia Tools and Applications, 2023. Cites: paper

Handling Learnwares Developed from Heterogeneous Feature Spaces without Auxiliary Data
Peng Tan, Zhi-Hao Tan, Yuan Ying Jiang et al. International Joint Conference on Artificial Intelligence, 2023. Cites: paper

Hawkes Process Based on Controlled Differential Equations
Minju Jo, Seungji Kook, Noseong Park. International Joint Conference on Artificial Intelligence, 2023. Cites: paper

PPG Signals-Based Blood-Pressure Estimation Using Grid Search in Hyperparameter Optimization of CNN–LSTM
Nurul Qashri Mahardika T, Yunendah Nur Fuadah, Da Un Jeong et al. Diagnostics, 2023. Cites: paper

Predicting sepsis using deep learning across international sites: a retrospective development and validation study
Michael Moor, Nicolas Bennett, Drago Plečko et al. EClinicalMedicine, 2023. Cites: paper

Predictive value of glycemic gap and stress glycemia ratio among critically ill patients with acute kidney injury: a retrospective analysis of the MIMIC-III database
Wenkai Xia, Chenyu Li, Meisi Kuang et al. BMC Nephrology, 2023. Cites: paper

Pre-trained Language Models in Biomedical Domain: A Systematic Survey
Benyou Wang, Qianqian Xie, Jiahuan Pei et al. ACM Computing Surveys, 2023. Cites: paper

Recycle-BERT: Extracting Knowledge about Plastic Waste Recycling by Natural Language Processing
Avan Kumar, Bhavik R. Bakshi, Manojkumar Ramteke et al. ACS Sustainable Chemistry & Engineering, 2023. Cites: paper

Road map for clinicians to develop and evaluate AI predictive models to inform clinical decision-making
Nehal Hassan, Robert D. Slight, Graham Morgan et al. BMJ Health & Care Informatics, 2023. Cites: paper

Singularformer: Learning to Decompose Self-Attention to Linearize the Complexity of Transformer
Yifan Wu, Shichao Kan, Min Zeng et al. International Joint Conference on Artificial Intelligence, 2023. Cites: paper

Tissue perfusion pressure enables continuous hemodynamic evaluation and risk prediction in the intensive care unit
Anand Chandrasekhar, Raimon Padrós-Valls, Roger Pallarès-López et al. Nature Medicine, 2023. Cites: paper

VecoCare: Visit Sequences-Clinical Notes Joint Learning for Diagnosis Prediction in Healthcare Data
Yongxin Xu, Kai Yang, Chaohe Zhang et al. International Joint Conference on Artificial Intelligence, 2023. Cites: paper

Multigranularity Label Prediction Model for Automatic International Classification of Diseases Coding in Clinical Text
Ying Yu, Tian Qiu, Junwen Duan et al. Journal of Computational Biology, 2023. Cites: paper

The shaky foundations of large language models and foundation models for electronic health records
Michael Wornow, Yizhe Xu, Rahul Thapa et al. npj Digital Medicine, 2023. Cites: paper

Multi-Task Time Series Forecasting Based on Graph Neural Networks
Xiao Han, Yongjie Huang, Zhisong Pan et al. Entropy, 2023. Cites: paper

Three subtypes of postoperative ARDS that showing different outcomes and responses to mechanical ventilation and fluid management: A machine learning and latent profile analysis
Jianmin Ling, Han Liu, Dongge Yu et al. Heart & Lung, 2023. Cites: paper

Development and validation of a nomogram to predict the risk of renal replacement therapy among acute kidney injury patients in intensive care unit
Jiang-Chen Peng, Yan Xiang Wu, Shunpeng Xing et al. Clinical and Experimental Nephrology, 2023. Cites: paper

Open datasets in perioperative medicine: a narrative review
Leerang Lim, Hyung‐Chul Lee. Anesthesia and Pain Medicine, 2023. Cites: paper

Continuous and early prediction of future moderate and severe Acute Kidney Injury in critically ill patients: Development and multi-centric, multi-national external validation of a machine-learning model
Francesca Alfieri, Andrea Ancona, Giovanni Luigi Tripepi et al. PLoS ONE, 2023. Cites: paper

Transformers in Time-Series Analysis: A Tutorial
Sabeen Ahmed, Ian E. Nielsen, Aakash Gireesh Tripathi et al. Circuits Systems and Signal Processing, 2023. Cites: paper

A Multi-modal Teacher-student Framework for Improved Blood Pressure Estimation
Jehyun Kyung, Jeong -Hwan Choi, Ju-Seok Seong et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023. Cites: paper

Association of Blood Pressure Variability With Death and Discharge Destination Among Critically Ill Patients With and Without Stroke
Eric Lee Stulberg, B. Harris, Alexander R. Zheutlin et al. Neurology, 2023. Cites: paper

Clinical Risk Prediction Models with Meta-Learning Prototypes of Patient Heterogeneity
Lida Zhang, Rohan Khera, Bobak J. Mortazavi. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023. Cites: paper

Clustering Analysis of Patients Kdigo Scoring Time Series Data Based on DTW Algorithm
Bo Li, Jingkun Mao, Guanggang Li. Chinese Control Conference (CCC), 2023. Cites: paper

Continual Learning for Cuffless Blood Pressure Measurement using PPG and ECG Signals
Chunlin Zhang, Zhan Shen, Xiaorong Ding. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023. Cites: paper

Demographic Information Fusion Using Attentive Pooling In CNN-GRU Model For Systolic Blood Pressure Estimation
Weinan Wang, Pedram Mohseni, Kevin L. Kilgore et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023. Cites: paper

Early Prediction of Neonatal Sepsis From Synthetic Clinical Data Using Machine Learning
Simon Lyra, Jinyi Jin, Steffen K. Leonhardt et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023. Cites: paper

Large language models in health care: Development, applications, and challenges
Rui Yang, Ting Fang Tan, Wei Lu et al. Health care science, 2023. Cites: paper

Learning Representations from Medical Text for Effective Diagnoses and Knowledge Discovery
Zhoujian Sun, Hanrui Shi, Zhengxing Huang et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023. Cites: paper

Unlocking the Power of EHRs: Harnessing Unstructured Data for Machine Learning-based Outcome Predictions
Mohammad Noaeen, Somayeh Amini, Shveta Bhasker et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023. Cites: paper

Few-shot learning for medical text: A review of advances, trends, and opportunities
Yao Ge, Yuting Guo, Sudeshna Das et al. Journal of Biomedical Informatics, 2023. Cites: paper

Artificial Neural Network Application for Sepsis Prediction: A Preliminary Study
AK Faizin biomej, W. Saputro biomej, RD Issafira biomej et al. Biomedical and Mechanical Engineering Journal (BIOMEJ), 2023. Cites: paper

Development and validation of models for risk of death in patients with systemic lupus erythematosus admitted to the intensive care unit: a retrospective study
Bo Su, Hui Li. Clinical Rheumatology, 2023. Cites: paper

Early administration of multiple vasopressors is associated with better survival in patients with sepsis: a propensity score-weighted study
Xin Tong, Xiaopeng Xue, Chuanzhi Duan et al. European journal of medical research, 2023. Cites: paper

MEGACare: Knowledge-guided multi-view hypergraph predictive framework for healthcare
Jialun Wu, Kai He, Rui Mao et al. Information Fusion, 2023. Cites: paper

A Comprehensive Survey of Digital Twins in Healthcare in the Era of Metaverse
Muhammad Turab, Sonain Jamil. BioMedInformatics, 2023. Cites: paper

Dynamic changes in lactate levels within the first 24 hours in septic patients as a prognostic indicator: A retrospective cohort study utilizing latent class growth analysis
Shifeng Li, Tao You, Meili Liu et al. Biomolecules and Biomedicine, 2023. Cites: paper

Improving Diagnostics with Deep Forest Applied to Electronic Health Records
Atieh Khodadadi, Nima Ghanbari Bousejin, Soheila Molaei et al. Sensors, 2023. Cites: paper

Non-invasive arterial blood pressure measurement and SpO2 estimation using PPG signal: a deep learning framework
Yan Chu, Kaichen Tang, Yu‐Chun Hsu et al. BMC Medical Informatics and Decision Making, 2023. Cites: paper

The association and prognostic value of systemic inflammatory response index with short and long-term mortality in patients with sepsis
Shuyan Ru, Yajun Luo. Medicine, 2023. Cites: paper

Elastic power, a novel predictor of the severity and prognosis of ARDS
Yongpeng Xie, Yao Yan, Jiaxin Shi et al. Journal of Critical Care, 2023. Cites: paper

Personalized event prediction for Electronic Health Records
Jeong Min Lee, Miloš Hauskrecht. Artificial Intelligence in Medicine, 2023. Cites: paper

Approaches for Dealing with Seasonality in Clinical Prediction Models for Infections
Bernardo Cánovas-Segura, Antonio Morales, José M. Juárez et al. Applied Sciences, 2023. Cites: paper

Artificial Intelligence–Enabled Software Prototype to Inform Opioid Pharmacovigilance From Electronic Health Records: Development and Usability Study
Alfred F. Sorbello, Syed Arefinul Haque, Rashedul Hasan et al. JMIR AI, 2023. Cites: paper

Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study
Joakim Edin, Alexander Junge, Jakob D. Havtorn et al. International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023. Cites: paper

Diffusion Models for Multivariate Time Series Generation with Missing Values
Yunwei Wan, Senlin Luo, Yao Cheng et al. 2023. Cites: paper

ExpertNet: A Deep Learning Approach to Combined Risk Modeling and Subtyping in Intensive Care Units
Shivin Srivastava, Vaibhav Rajan. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

Research on a massively large artificial intelligence model and its application in medicine
Huayuan Guo, Pan Liu, Ruogu Lu et al. Scientia Sinica Vitae, 2023. Cites: paper

A novel CS-NET architecture based on the unification of CNN, SVM and super-resolution spectrogram to monitor and classify blood pressure using photoplethysmography
Pankaj, Ashish Kumar, Rama Komaragiri et al. Computer Methods and Programs in Biomedicine, 2023. Cites: paper

Diffusion Models for Multivariate Time Series Generation with Missing Values
Yunwei Wan, Senlin Luo, Yao Cheng et al. 2023. Cites: paper

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