Cited by
MIMIC-III Waveform Database Matched Subset (v1.0)
7929 publications cite any version of this project or its primary paper, newest first.
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PrimeNet: Pre-training for Irregular Multivariate Time Series
Ranak Roy Chowdhury, Jiacheng Li, Xiyuan Zhang et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2023. Cites: paper -
Sample Size Determination for Electronic Phenotyping
Sai Hurrish Dharmarajan, Satabdi Saha, Xinying Fang et al. IEEE International Conference on Healthcare Informatics (ICHI), 2023. Cites: paper -
T2G-FORMER: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction
Jiahuan Yan, Jintai Chen, Yixuan Wu et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2023. Cites: paper -
Towards Safe Mechanical Ventilation Treatment Using Deep Offline Reinforcement Learning
Flemming Kondrup, Thomas Jiralerspong, Elaine Lau et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2023. Cites: paper -
Trace Augmentation with Missing EHRs for Sepsis Treatments
Ge Gao, Min Chi. IEEE International Conference on Healthcare Informatics (ICHI), 2023. Cites: paper -
Impact of cardiac troponin release and fluid resuscitation on outcomes of patients with sepsis
Zhiyuan Ma, Mahesh Krishnamurthy, Vivek Amit Modi et al. International Journal of Cardiology, 2023. Cites: paper -
A text style transfer system for reducing the physician–patient expertise gap: An analysis with automatic and human evaluations
Luca Bacco, Felice Dell’Orletta⋄, Huiyuan Lai et al. Expert Systems with Applications, 2023. Cites: paper -
Continuous prediction of a time intervals-related pattern’s completion
Nevo Itzhak, Szymon Jaroszewicz, Robert Moskovitch. Knowledge and Information Systems, 2023. Cites: paper -
Optimized deep neural network models for blood pressure classification using Fourier analysis-based time–frequency spectrogram of photoplethysmography signal
Pankaj, Ashish Kumar, Manjeet Kumar et al. Biomedical Engineering Letters, 2023. Cites: paper -
Construction and validation of prognostic models in critically Ill patients with sepsis-associated acute kidney injury: interpretable machine learning approach
Zhiyan Fan, Jiamei Jiang, Xiao Chen et al. Journal of Translational Medicine, 2023. Cites: paper -
HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction
Youru Li, Zhenfeng Zhu, Xiaobo Guo et al. ACM Transactions on Knowledge Discovery from Data, 2023. Cites: paper -
Optimized Risk Score to Predict Mortality in Patients With Cardiogenic Shock in the Cardiac Intensive Care Unit
Eric Yamga, Sreekar Mantena, Darin T. Rosen et al. Journal of the American Heart Association, 2023. Cites: paper -
Relationship between hyperlipidemia and the risk of death in aneurysm: a cohort study on patients of different ages, genders, and aneurysm locations
Dianzhu Ding, Yongbin Yang, Guangwei Jiang et al. Frontiers in Physiology, 2023. Cites: paper -
Adaptive Learning and AI to Support Medication Management
João Pedro Oliveira, Nazanin Vafaei, Vasco Delgado‐Gomes et al. IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), 2023. Cites: paper -
A review on the significance of body temperature interpretation for early infectious disease diagnosis
Nurul Izzati Darul Zaman, Yuan Wen Hau, Ming Chern Leong et al. Artificial Intelligence Review, 2023. Cites: paper -
Photoplethysmography signal quality assessment using attractor reconstruction analysis
Jean Schmith, Carolina Kelsch, Beatriz Cunha et al. Biomedical Signal Processing and Control, 2023. Cites: paper -
Robust sample weighting to facilitate individualized treatment rule learning for a target population
Rui Chen, Jared D. Huling, Guanhua Chen et al. Biometrika, 2023. Cites: paper -
Deep Imputation-Prediction Networks for Health Risk Prediction using Electronic Health Records
Yuxi Liu, Zhenhao Zhang, Shaowen Qin. International Joint Conference on Neural Networks (IJCNN), 2023. Cites: paper -
NeuralHMM: A Deep Markov Network for Health Risk Prediction using Electronic Health Records
Yuxi Liu, Zhenhao Zhang, Shaowen Qin. International Joint Conference on Neural Networks (IJCNN), 2023. Cites: paper -
SigD: A Cross-Session Dataset for PPG-based User Authentication in Different Demographic Groups
Lin Li, Chao Chen, Lei Pan et al. International Joint Conference on Neural Networks (IJCNN), 2023. Cites: paper -
Stacked Attention-based Networks for Accurate and Interpretable Health Risk Prediction
Yuxi Liu, Zhenhao Zhang, Campbell Henry Thompson et al. International Joint Conference on Neural Networks (IJCNN), 2023. Cites: paper -
Developing an Artificial Intelligence-Based Representation of a Virtual Patient Model for Real-Time Diagnosis of Acute Respiratory Distress Syndrome
Chadi Barakat, Konstantin Sharafutdinov, Josefine Busch et al. Diagnostics, 2023. Cites: paper -
Editorial: Information extraction for health documents
Enrico Mensa, Paloma Martínez Fernández, Roland Roller et al. Frontiers in Artificial Intelligence, 2023. Cites: paper -
The triglyceride-glucose index is associated with the risk of acute kidney injury in critically ill patients
Rongting Zhang, Shanshan Shi, Kaijun Zhang et al. Research Square, 2023. Cites: paper -
Capturing Semantic Relationships in Electronic Health Records Using Knowledge Graphs: An Implementation Using MIMIC III Dataset and GraphDB
Bader Aldughayfiq, Farzeen Ashfaq, Noor Zaman Jhanjhi et al. Healthcare, 2023. Cites: paper -
Clinical concept and relation extraction using prompt-based machine reading comprehension
Peng Cheng, Xi Yang, Zehao Yu et al. Journal of the American Medical Informatics Association, 2023. Cites: paper -
PharmBERT: a domain-specific BERT model for drug labels
Taha ValizadehAslani, Yiwen Shi, Ping Ren et al. Briefings in Bioinformatics, 2023. Cites: paper -
Relative sparsity for medical decision problems
Samuel J. Weisenthal, Sally W. Thurston, Ashkan Ertefaie. Statistics in Medicine, 2023. Cites: paper -
The L-shaped correlation between systolic blood pressure and short-term and long-term mortality in patients with cerebral hemorrhage
Xu Jiang, Zhiping Xie, Kang Chen et al. BMC Neurology, 2023. Cites: paper -
A Secure, Flexible, and PPG-Based Biometric Scheme for Healthy IoT Using Homomorphic Random Forest
Liping Zhang, A. Li, Shukai Chen et al. IEEE Internet of Things Journal, 2023. Cites: paper -
Severe fluctuation in mean perfusion pressure is associated with increased risk of in-hospital mortality in critically ill patients with central venous pressure monitoring: A retrospective observational study
Yudie Peng, Buyun Wu, Changying Xing et al. PLoS ONE, 2023. Cites: paper -
CEHMR: Curriculum learning enhanced hierarchical multi-label classification for medication recommendation
Mengxuan Sun, Jinghao Niu, Xuebing Yang et al. Artificial Intelligence in Medicine, 2023. Cites: paper -
Examining risks of racial biases in NLP tools for child protective services
Anjalie Field, Amanda Coston, Nupoor Gandhi et al. ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2023. Cites: paper -
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods
Raphael Poulain, Mirza Farhan Bin Tarek, Rahmatollah Beheshti. ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2023. Cites: paper -
A patient information mining network for drug recommendation
Ruobing Li, Jian Wang, Hongfei Lin et al. Methods, 2023. Cites: paper -
Classification of pulmonary arterial pressure using photoplethysmography and bi-directional LSTM
Qian Zhang, Pei Ma. Biomedical Signal Processing and Control, 2023. Cites: paper -
Geriatric Nutritional Risk Index and Risk of Mortality in Critically Ill Patients With Acute Kidney Injury: A Multicenter Cohort Study
Jiachuan Xiong, Zhikai Yu, Yinghui Huang et al. Journal of Renal Nutrition, 2023. Cites: paper -
Intensive Care Unit readmission prediction with correlation enhanced multi-task learning
Ke Niu, Su Pei, Xueping Peng et al. Computers & Electrical Engineering, 2023. Cites: paper -
A Novel Approach for Mining Big Data Using Multi-Model Fusion Mechanism (MMFM)
Rampi Ramprasad, C. Jayakumari. International Journal on Recent and Innovation Trends in Computing and Communication, 2023. Cites: paper -
Early recognition of sepsis at the emergency department
Titus A. P. de Hond. 2023. Cites: paper -
Blood Pressure Estimation Using a PPG Signal Recorded From the Fingertip of a Hand Moving in the Sagittal Plane
Paria Mansourinezhad, Mohammad Mahdi Ahmadi, Hoda Mohammadzade. IEEE Sensors Journal, 2023. Cites: paper -
Cardiac Index and Heart Rate as Prognostic Indicators for Short-Term Outcomes in Septic Shock: A Retrospective Cohort Study from the MIMIC-IV database
Chansokhon Ngan, Li Li, Mingchun Wang et al. Research Square, 2023. Cites: paper -
Cooperative dual medical ontology representation learning for clinical assisted decision-making
Muhao Xu, Zhenfeng Zhu, Youru Li et al. Computers in Biology and Medicine, 2023. Cites: paper -
Health system-scale language models are all-purpose prediction engines
Lavender Yao Jiang, Xujin Chris Liu, Nima Pour Nejatian et al. Nature, 2023. Cites: paper -
LGTRL-DE: Local and Global Temporal Representation Learning with Demographic Embedding for in-hospital mortality prediction
Mengjie Zou, Ying An, Hulin Kuang et al. Journal of Biomedical Informatics, 2023. Cites: paper -
A flexible symbolic regression method for constructing interpretable clinical prediction models
William La Cava, Paul C. Lee, Imran Ajmal et al. npj Digital Medicine, 2023. Cites: paper -
Clinical named entity recognition and relation extraction using natural language processing of medical free text: A systematic review
David Fraile Navarro, Kiran Ijaz, Dana Rezazadegan et al. International Journal of Medical Informatics, 2023. Cites: paper -
Utilizing Large Language Models to Simplify Radiology Reports: a comparative analysis of ChatGPT3.5, ChatGPT4.0, Google Bard, and Microsoft Bing
Rushabh H. Doshi, Kanhai Amin, Pavan Khosla et al. medRxiv, 2023. Cites: paper -
Identifying Risk Factors Associated With Lower Back Pain in Electronic Medical Record Free Text: Deep Learning Approach Using Clinical Note Annotations
Aman Jaiswal, Alan Katz, Marcello Nesca et al. JMIR Medical Informatics, 2023. Cites: paper -
Impact of translation on biomedical information extraction: evaluation on real-life clinical notes (Preprint)
Christel Gérardin, Yuhan Xiong, Perceval Wajsbürt et al. 2023. Cites: paper
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.