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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Mixup Training for Generative Models to Defend Membership Inference Attacks
Zhe Ji, Qiansiqi Hu, Liyao Xiang et al. IEEE Conference on Computer Communications (INFOCOM), 2023. Cites: paper -
Towards Predicting Length of Stay and Identification of Cohort Risk Factors Using Self-Attention-Based Transformers and Association Mining: COVID-19 as a Phenotype
Fakhare Alam, Obieda Ananbeh, Khalid Mahmood Malik et al. Diagnostics, 2023. Cites: paper -
The Impact of Cardiac Index on Mortality in Patients with Septic Shock: A retrospective study from the MIMIC-IV Database
Chansokhon Ngan, Li Li, Mingchun Wang et al. Research Square, 2023. Cites: paper -
Independence Weights for Causal Inference with Continuous Treatments
Jared D. Huling, Noah Greifer, Guanhua Chen. Journal of the American Statistical Association, 2023. Cites: paper -
Towards Sentence Level Inference Attack Against Pre-trained Language Models
Kang Gu, Ehsanul Kabir, Neha Ramsurrun et al. Proceedings on Privacy Enhancing Technologies, 2023. Cites: paper -
Recurrent Continuous Adversarial Balancing for Estimating Individual Treatment Effect Over Time
Peifei Zhu, Zisheng Li, Masahiro Ogino. International Journal of Computational Intelligence Systems, 2023. Cites: paper -
Understanding the Clinical Context of Medication Change Events in Clinical Narratives using Pre-trained Clinical Language Models
Tzu‐Ying Chen, Jean Aristide Aquino, Yu-Wen Chiu et al. International Conference on Medical and Health Informatics (ICMHI), 2023. Cites: paper -
A Simple Nomogram for Predicting Hospital Mortality of Patients Over 80 Years in ICU: An International Multicenter Retrospective Study
Chao Liu, Xiaoli Liu, Mei Hu et al. The Journals of Gerontology Series A, 2023. Cites: paper -
Investigation of Data Leakage in Deep-Learning-Based Blood Pressure Estimation Using Photoplethysmogram/Electrocardiogram
Rikuto Yoshizawa, Kohei Yamamoto, Tomoaki Otsuki Ohtsuki. IEEE Sensors Journal, 2023. Cites: paper -
Reinforcement Learning Model for Managing Noninvasive Ventilation Switching Policy
Xue Feng, Daoyuan Wang, Qing Pan et al. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper -
Hospital-wide natural language processing summarising the health data of 1 million patients
Daniel M. Bean, Željko Kraljević, Anthony Shek et al. PLOS Digital Health, 2023. Cites: paper -
Significant stochastic dependencies in process models
Sander J. J. Leemans, Lisa Luise Mannel, Natalia Sidorova. Information Systems, 2023. Cites: paper -
Evaluation of stacked ensemble model performance to predict clinical outcomes: A COVID-19 study
Rianne Kablan, Hunter A. Miller, S.H. Suliman et al. International Journal of Medical Informatics, 2023. Cites: paper -
AI-Based Decision Support System for Traumatic Brain Injury: A Survey
Flora Rajaei, Shuyang Cheng, Craig Andrew Williamson et al. Diagnostics, 2023. Cites: paper -
IR-ECG: Invertible Reconstruction of ECG
Peng Wang, Xi Huang, Li Cui. IEEE International Conference on Acoustics Speech and Signal Processing, 2023. Cites: paper -
MHLAT: Multi-Hop Label-Wise Attention Model for Automatic ICD Coding
Junwen Duan, Han Jiang, Ying Yu. IEEE International Conference on Acoustics Speech and Signal Processing, 2023. Cites: paper -
Ontology-driven and weakly supervised rare disease identification from clinical notes
Hang Dong, Víctor Suárez-Paniagua, Huayu Zhang et al. BMC Medical Informatics and Decision Making, 2023. Cites: paper -
The Bibliometric Overview of Research on Healthcare Information Systems Using Big Data Analytics
Christine Nya-Ling Tan, Muhammad Ashraf Fauzi. International Journal of Data Science and Big Data Analytics, 2023. Cites: paper -
A dosing strategy model of deep deterministic policy gradient algorithm for sepsis patients
Tianlai Lin, Xinjue Zhang, Jianbing Gong et al. BMC Medical Informatics and Decision Making, 2023. Cites: paper -
Assessment and prediction of the nutritional index in septic patients: a propensity score-matched analysis
Qiang Liu, Jie Zhang. Research Square, 2023. Cites: paper -
A Study on Various Approaches Towards Non-Factoid Question Answering Systems
Lakshmi K, Sindhu S. International Conference on Applied Artificial Intelligence and Computing (ICAAIC), 2023. Cites: paper -
Medical-Knowledge-Based Graph Neural Network for Medication Combination Prediction
Chao Gao, Shu Yin, Haiqiang Wang et al. IEEE Transactions on Neural Networks and Learning Systems, 2023. Cites: paper -
Red blood cell distribution width and all-cause mortality in congestive heart failure patients: a retrospective cohort study based on the Mimic-III database
Xuan Ji, Weiqi Ke. Frontiers in Cardiovascular Medicine, 2023. Cites: paper -
A data-driven approach to optimizing clinical study eligibility criteria
Yilu Fang, Hao Liu, Betina Idnay et al. Journal of Biomedical Informatics, 2023. Cites: paper -
Hawkes Processes Modeling, Inference, and Control: An Overview
Rafael Lima. SIAM Review, 2023. Cites: paper -
Semantically Rich Differential Access to Secure Cloud EHR
Redwan Walid, Karuna Pande Joshi, Seung Geol Choi. IEEE International Conference on Big Data Security on Cloud, IEEE International Conference on High Performance and Smart Computing, and IEEE International Conference on Intelligent Data and Security (BigDataSecurity/HPSC/IDS), 2023. Cites: paper -
Effects of obesity on short-term mortality in patients with acute heart failure under different nutritional status
Linlin Liu, Jun Qian, Yuanyuan Li et al. BMC Cardiovascular Disorders, 2023. Cites: paper -
PaCO2 Levels at Admission Influence the Prognosis of Sepsis Patients: A Nonlinear Relationship
Zhongkai Qu, Yan Ye, Fang Li et al. Journal of Translational Critical Care Medicine, 2023. Cites: paper -
Imputation and missing indicators for handling missing data in the development and deployment of clinical prediction models: A simulation study
Rose Sisk, Matthew Sperrin, Niels B. Peek et al. Statistical Methods in Medical Research, 2023. Cites: paper -
Leveraging physiology and artificial intelligence to deliver advancements in health care
Angela Zhang, Zhenqin Wu, Eric Wu et al. Physiological Reviews, 2023. Cites: paper -
Relationship between human serum albumin and in-hospital mortality in critical care patients with chronic obstructive pulmonary disease
Ling Ma, Hui-Yin Li, Chen Shanglin et al. Frontiers in Medicine, 2023. Cites: paper -
Automatic assignment of diagnosis codes to free-form text medical note
Stefan Strydom, Andrei Michael Dreyer, Brink van der Merwe. JUCS - Journal of Universal Computer Science, 2023. Cites: paper -
Curation and description of a blood glucose management and nutritional support cohort using the eICU collaborative research database
Oisín Fitzgerald, Oscar Perez‐Concha, Blanca Gallego Luxan et al. medRxiv, 2023. Cites: paper -
Developing and validating a natural language processing algorithm to extract preoperative cannabis use status documentation from unstructured narrative clinical notes
Ruba Sajdeya, Mamoun Mardini, Patrick James Tighe et al. Journal of the American Medical Informatics Association, 2023. Cites: paper -
Extracting social determinants of health from clinical note text with classification and sequence-to-sequence approaches
Brian Romanowski, Asma Ben Abacha, Yadan Fan. Journal of the American Medical Informatics Association, 2023. Cites: paper -
Implementing Artificial Intelligence
Pier Francesco Caruso, Massimiliano Greco, Claudia Cecconi Ebm et al. Critical Care Clinics, 2023. Cites: paper -
Predictive Modeling Using Artificial Intelligence and Machine Learning Algorithms on Electronic Health Record Data
Michael J. Patton, Vincent X. Liu. Critical Care Clinics, 2023. Cites: paper -
Vertical Federated Knowledge Transfer via Representation Distillation for Healthcare Collaboration Networks
Chongru Huang, Leye Wang, Xiao Gang Han. International World Wide Web Conference (WWW), 2023. Cites: paper -
The impact of commercial health datasets on medical research and health-care algorithms
Isabelle Rose I. Alberto, Nicole Rose I. Alberto, Arnab K. Ghosh et al. The Lancet Digital Health, 2023. Cites: paper -
Identifying stroke-related quantified evidence from electronic health records in real-world studies
Lin Yang, Xiaoshuo Huang, Jiayang Wang et al. Artificial Intelligence in Medicine, 2023. Cites: paper -
Self-Supervised Contrastive Learning for Medical Time Series: A Systematic Review
Ziyu Liu, Azadeh Alavi, Minyi Li et al. Sensors, 2023. Cites: paper -
Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks: Algorithm Development and Validation Study
David Oniani, Premkumar Chandrasekar, Sonish Sivarajkumar et al. JMIR AI, 2023. Cites: paper -
CPK-Adapter: Infusing Medical Knowledge into K-Adapter with Continuous Prompt
Chen Liu, Shaojie Zhang, Chuanfu Li et al. International Conference on Intelligent Computing and Signal Processing (ICSP), 2023. Cites: paper -
Impact of obesity on all-cause and cause-specific mortality among critically ill men and women: a cohort study on the eICU database
Shan Li, Wei Zhang, Zhiqing Fu et al. Frontiers in Nutrition, 2023. Cites: paper -
Dual-core mutual learning between scoring systems and clinical features for ICU mortality prediction
Zhenkun Shi, Sen Wang, Lin Yue et al. Information Sciences, 2023. Cites: paper -
Red blood cell distribution width improves the prediction of 28-day mortality for patients with sepsis-induced acute kidney injury: A retrospective analysis from MIMIC-IV database using propensity score matching
Honghao Lai, Guosheng Wu, Yu Zhong et al. Journal of Intensive Medicine, 2023. Cites: paper -
Subphenotyping heterogeneous patients with chronic critical illness to guide individualised fluid balance treatment using machine learning: a retrospective cohort study
Peizhao Liu, Sicheng Li, Tao Zheng et al. EClinicalMedicine, 2023. Cites: paper -
A Prompt-Based Topic-Modeling Method for Depression Detection on Low-Resource Data
Yanrong Guo, Jilong Liu, Lei Wang et al. IEEE Transactions on Computational Social Systems, 2023. Cites: paper -
Continuous Non-Invasive Blood Pressure Measurement Using 60 GHz-Radar—A Feasibility Study
Nastassia Vysotskaya, Christoph Will, Lorenzo Servadei et al. Sensors, 2023. Cites: paper -
Crossing the AI Chasm in Neurocritical Care
Marco Cascella, Jonathan Montomoli, Valentina Bellini et al. Computers, 2023. Cites: paper
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.