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

Blood urea nitrogen to serum albumin ratio as a new prognostic indicator in type 2 diabetes mellitus patients with chronic kidney disease
Shizhen Liu, Chuangye Qiu, Wenxia Li et al. Scientific Reports, 2024. Cites: paper

Adapting transformer-based language models for heart disease detection and risk factors extraction
Essam Halim Houssein, Rehab E. Mohamed, Guang Hu et al. Journal Of Big Data, 2024. Cites: paper

Body surface area is a predictor of 90-day all-cause mortality in critically ill patients with acute kidney injury
Sencai Lin, Xiaobo Yang. Injury, 2024. Cites: paper

Enjoy the silence: Analysis of stochastic Petri nets with silent transitions
Sander J. J. Leemans, Fabrizio Maria Maggi, Marco Montali. Information Systems, 2024. Cites: paper

Machine learning-based model stacking and multi-key biomarker association for rapid differentiation of patients with acute chest pain：a multicenter study with subgroup bias evaluation (Preprint)
Ao Sun, Wentao Yang, Donghao Sun et al. 2024. Cites: paper

Machine Learning-Based Predictive Models for Patients with Venous Thromboembolism: A Systematic Review
Vasiliki Danilatou, Dimitrios Dimopoulos, Θεόδωρος Κωστούλας et al. Thrombosis and Haemostasis, 2024. Cites: paper

Artificial Intelligence and Machine Learning Applications in Critically Ill Brain Injured Patients
Jeffrey R. Vitt, Shraddha Mainali. Seminars in Neurology, 2024. Cites: paper

Identifying signs and symptoms of urinary tract infection from emergency department clinical notes using large language models
Mark S. Iscoe, Vimig Socrates, Aidan Gilson et al. Academic Emergency Medicine, 2024. Cites: paper

Early Prediction of Sepsis Using Ensembled Learning
Christianah O. Akinduyite, Bukola Badeji–Ajisafe, Stephen Eyitayo Obamiyi et al. International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG), 2024. Cites: paper

FRAMU: Attention-Based Machine Unlearning Using Federated Reinforcement Learning
Thanveer Shaik, Xiaohui Tao, Lin Li et al. IEEE Transactions on Knowledge and Data Engineering, 2024. Cites: paper

Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need
Peng Cheng, Xi Yang, Aokun Chen et al. Journal of the American Medical Informatics Association, 2024. Cites: paper

Building a house without foundations? A 24-country qualitative interview study on artificial intelligence in intensive care medicine
Stuart McLennan, Amelia Fiske, Leo Anthony Celi. BMJ Health & Care Informatics, 2024. Cites: paper

Cardiac index and heart rate as prognostic indicators for mortality in septic shock: A retrospective cohort study from the MIMIC-IV database
Chansokhon Ngan, Xueying Zeng, Thongher Lia et al. Heliyon, 2024. Cites: paper

A real-time deep learning approach for inferring intracranial pressure from routinely measured extracranial waveforms in the intensive care unit
S Nair, Alina Guo, Joseph Boen et al. Journal of Critical Care, 2024. Cites: paper

Optimizing Sepsis Treatment Through Reinforcement Learning: A Revisitation of Reward and Loss Functions in Dueling Double Deep Q-Network
Xiaoyao Tang, Zihan Wang, Yunjie Liu. International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT), 2024. Cites: paper

ECG Signal Classification for Detection of Hyperkalemia
Prasad Lokulwar Achamma Thomas. Journal of Electrical Systems, 2024. Cites: paper

Surveying biomedical relation extraction: a critical examination of current datasets and the proposal of a new resource
Ming-Siang Huang, Jen-Chieh Han, Pei-Yen Lin et al. Briefings in Bioinformatics, 2024. Cites: paper

Comparison of attribute-based encryption schemes in securing healthcare systems
Redwan Walid, Karuna Pande Joshi, Seung Geol Choi. Scientific Reports, 2024. Cites: paper

Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction
Peng Cheng, Xi Yang, Kaleb E Smith et al. Journal of Biomedical Informatics, 2024. Cites: paper

Natural Language Processing in Knowledge-Based Support for Operator Assistance
Fatemeh Besharati Moghaddam, Angel J. Lopez, Stijn De Vuyst et al. Applied Sciences, 2024. Cites: paper

Prediction and simulation of PEEP setting effects with machine learning models
Claas Händel, Inéz Frerichs, Norbert Weiler et al. Medicina Intensiva, 2024. Cites: paper

A large language model–based generative natural language processing framework fine‐tuned on clinical notes accurately extracts headache frequency from electronic health records
Chia‐Chun Chiang, Man Luo, Gina M. Dumkrieger et al. Headache The Journal of Head and Face Pain, 2024. Cites: paper

Fundamental and Practical Feasibility of Electrocardiogram Reconstruction from Photoplethysmogram
Gašper Slapničar, Jie Su, Wenjin Wang. Sensors, 2024. Cites: paper

Predicting intubation for intensive care units patients: A deep learning approach to improve patient management
Ruixi Li, Zenglin Xu, Jing J. Xu et al. International Journal of Medical Informatics, 2024. Cites: paper

Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning
Yi Cheng, Renjun Hu, Haochao Ying et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2024. Cites: paper

CGS-Mask: Making Time Series Predictions Intuitive for All
Feng Lu, Wei Li, Yifei Sun et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2024. Cites: paper

Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference
Hongda Sun, Hongzhan Lin, Rui Yan. Proceedings of the AAAI Conference on Artificial Intelligence, 2024. Cites: paper

Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure
Cheng Bian, Xiaoyu Li, Qi Bi et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2024. Cites: paper

GraFITi: Graphs for Forecasting Irregularly Sampled Time Series
Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2024. Cites: paper

HDformer: A Higher-Dimensional Transformer for Detecting Diabetes Utilizing Long-Range Vascular Signals
Ella Lan. Proceedings of the AAAI Conference on Artificial Intelligence, 2024. Cites: paper

IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
Jingge Xiao, Leonie Basso, Wolfgang Nejdl et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2024. Cites: paper

KAMEL: Knowledge Aware Medical Entity Linkage to Automate Health Insurance Claims Processing
Sheng Jie Lui, Cheng Xiang, Shonali Priyadarsini Krishnaswamy. Proceedings of the AAAI Conference on Artificial Intelligence, 2024. Cites: paper

Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation
Debaditya Shome, Pritam Sarkar, Ali Etemad. Proceedings of the AAAI Conference on Artificial Intelligence, 2024. Cites: paper

Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification
Andreas Grivas, Antonio Vergari, Adam Lopez. Proceedings of the AAAI Conference on Artificial Intelligence, 2024. Cites: paper

VITA: ‘Carefully Chosen and Weighted Less’ Is Better in Medication Recommendation
Taeri Kim, Jiho Heo, Hongil Kim et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2024. Cites: paper

Building large-scale registries from unstructured clinical notes using a low-resource natural language processing pipeline
Nazgol Tavabi, James A. Pruneski, Shahriar Golchin et al. Artificial Intelligence in Medicine, 2024. Cites: paper

Development and external validation of a dynamic risk score for early prediction of cardiogenic shock in cardiac intensive care units using machine learning
Yuxuan Hu, Albert Lui, Mark Goldstein et al. European Heart Journal Acute Cardiovascular Care, 2024. Cites: paper

Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models
Jifan Gao, Guanhua Chen, Ann P. O’Rourke et al. Journal of the American Medical Informatics Association, 2024. Cites: paper

Development of a Human Evaluation Framework and Correlation with Automated Metrics for Natural Language Generation of Medical Diagnoses
Emma Croxford, Yanjun Gao, Brian W. Patterson et al. medRxiv, 2024. Cites: paper

Predicting ICU Interventions: A Transparent Decision Support Model Based on Multivariate Time Series Graph Convolutional Neural Network
Zhen Hui Xu, Jinjin Guo, Lang Qin et al. IEEE Journal of Biomedical and Health Informatics, 2024. Cites: paper

STP: Self-supervised transfer learning based on transformer for noninvasive blood pressure estimation using photoplethysmography
Chenbin Ma, Peng Zhang, Haonan Zhang et al. Expert Systems with Applications, 2024. Cites: paper

De-identification of clinical free text using natural language processing: A systematic review of current approaches
Aleksandar Kovačević, Bojana Bašaragin, Nikola Milošević et al. Artificial Intelligence in Medicine, 2024. Cites: paper

Effect of 24 h glucose fluctuations on 30-day and 1-year mortality in patients with acute myocardial infarction: an analysis from the MIMIC-III database
Xiaohe Liu, Guihong Zhang, Dan Li et al. Frontiers in Cardiovascular Medicine, 2024. Cites: paper

A hybrid denoising approach for PPG signals utilizing variational mode decomposition and improved wavelet thresholding
Qinghua Hu, Min Li, Linwen Jiang et al. Technology and Health Care, 2024. Cites: paper

Emerging technologies for drug repurposing: Harnessing the potential of text and graph embedding approaches
Xialan Dong, Weifan Zheng. Artificial Intelligence Chemistry, 2024. Cites: paper

Improving the Prognostic Evaluation Precision of Hospital Outcomes for Heart Failure Using Admission Notes and Clinical Tabular Data: Multimodal Deep Learning Model
Zhenyue Gao, Xiaoli Liu, Yu Kang et al. Journal of Medical Internet Research, 2024. Cites: paper

Personalized Federated Graph Learning on Non-IID Electronic Health Records
Tao Tang, Zhuoyang Han, Zhen Cai et al. IEEE Transactions on Neural Networks and Learning Systems, 2024. Cites: paper

An Intelligent Matching Tool for the Integration of Critical Care Databases
Tailai Ding, Zunliang Wang, Mengting Xue et al. International Conference on Biomedical Engineering and Applications (ICBEA), 2024. Cites: paper

Co-Occurrence Graph-Enhanced Hierarchical Prediction of ICD Codes
Soha Sadat Mahdi, Eirini Papagiannopoulou, Nikos Deligiannis et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2024. Cites: paper

Development and Validation of an Interpretable Conformal Predictor to Predict Sepsis Mortality Risk: Retrospective Cohort Study
Meicheng Yang, Hui Chen, Wenhan Hu et al. Journal of Medical Internet Research, 2024. Cites: paper

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