Publications citing MIMIC-III Clinical Database Demo v1.4

Data-driven decision support for individualised cardiovascular resuscitation in sepsis: a scoping review and primer for clinicians
Finneas J. R. Catling, Myura Nagendran, Paul Festor et al. medRxiv, 2023. Cites: paper

Machine learning for administrative health records: A systematic review of techniques and applications
Adrian Caruana, Madhushi Bandara, Katarzyna Musiał et al. Artificial Intelligence in Medicine, 2023. Cites: paper

Admission NLPR predicts long-term mortality in patients with acute ischemic stroke: A retrospective analysis of the MIMIC-III database
Xiao Su, Shigang Zhao, Nan Zhang. PLoS ONE, 2023. Cites: paper

Selective prediction for extracting unstructured clinical data
Akshay Swaminathan, Iván López, William Yang Wang et al. Journal of the American Medical Informatics Association, 2023. Cites: paper

Time-stage driven pathfinding framework for optimized medical treatments
Karen Gishyan, Hasmik Sahakyan, Levon H. Aslanyan. Cogent Engineering, 2023. Cites: paper

Early prediction of sepsis using a high-order Markov dynamic Bayesian network (HMDBN) classifier
Siwen Zhang, Yongrui Duan, Fenggang Hou et al. Applied Intelligence, 2023. Cites: paper

Improved clinical data imputation via classical and quantum determinantal point processes
Skander Kazdaghli, Iordanis Kerenidis, Jens Kieckbusch et al. eLife, 2023. Cites: paper

Leveraging Language Models for Inpatient Diagnosis Coding
Kerdkiat Suvirat, Detphop Tanasanchonnakul, Sawrawit Chairat et al. Applied Sciences, 2023. Cites: paper

Improving chest X-ray report generation by leveraging warm starting
Aaron Nicolson, Jason Dowling, Bevan Koopman. Artificial Intelligence in Medicine, 2023. Cites: paper

Non-imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey
Xiaodan Xing, Huanjun Wu, Lichao Wang et al. ACM Computing Surveys, 2023. Cites: paper

Illness severity assessment of older adults in critical illness using machine learning (ELDER-ICU): an international multicentre study with subgroup bias evaluation
Xiaoli Liu, Pan Hu, Wesley Lok Kin Yeung et al. The Lancet Digital Health, 2023. Cites: paper

Comorbidity network analysis using graphical models for electronic health records
Bo Zhao, Sarah Page Huepenbecker, Gen Hua Zhu et al. Frontiers in Big Data, 2023. Cites: paper

A method to automate the discharge summary hospital course for neurology patients
Vince Hartman, Sanika S. Bapat, Mark G. Weiner et al. Journal of the American Medical Informatics Association, 2023. Cites: paper

Impact of obesity on outcomes of patients with acute respiratory distress syndrome: a retrospective analysis of a large clinical database
Qiyan Lou. Medizinische Klinik - Intensivmedizin und Notfallmedizin, 2023. Cites: paper

Surgicberta: a pre-trained language model for procedural surgical language
Marco Bombieri, Marco Rospocher, Simone Paolo Ponzetto et al. International Journal of Data Science and Analytics, 2023. Cites: paper

From Data to Drugs a Review: Harnessing AI for Accelerated Pharmaceutical Development
Viraj Gawade, K. S. Apar, R. D. Mapari et al. International Journal of Advanced Research in Science Communication and Technology, 2023. Cites: paper

A One-Size-Fits-Three Representation Learning Framework for Patient Similarity Search
Yefan Huang, Feng Luo, Xiaoli Wang et al. Data Science and Engineering, 2023. Cites: paper

Development and validation of a prediction model for evaluating extubation readiness in preterm infants
Wongeun Song, Young Hwa Jung, Ji-Hoon Cho et al. International Journal of Medical Informatics, 2023. Cites: paper

Prognostic value of monocyte-to-lymphocyte ratio for 90-day all-cause mortality in type 2 diabetes mellitus patients with chronic kidney disease
Chuangye Qiu, Shizhen Liu, Xingai Li et al. Scientific Reports, 2023. Cites: paper

A novel neural network for improved in-hospital mortality prediction with irregular and incomplete multivariate data
Xi Zhou, Wei Xiang, Tao Huang. Neural Networks, 2023. Cites: paper

Clinical Prompt Learning With Frozen Language Models
Niall Taylor, Yi Zhang, Dan W. Joyce et al. IEEE Transactions on Neural Networks and Learning Systems, 2023. Cites: paper

EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records
Jinsung Yoon, Michel J. Mizrahi, Nahid Farhady Ghalaty et al. npj Digital Medicine, 2023. Cites: paper

Leveraging Summary Guidance on Medical Report Summarization
Yunqi Zhu, Xuebing Yang, Yuanyuan Wu et al. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

U-SHAPED ASSOCIATION BETWEEN SERUM CALCIUM LEVELS AND 28-DAY MORTALITY IN PATIENTS WITH SEPSIS: A RETROSPECTIVE ANALYSIS OF THE MIMIC-III DATABASE
Danyang Yan, Xi Wei Xie, Xiangjie Fu et al. Shock, 2023. Cites: paper

A Deep Learning Approach for Automated Prediction of Cardiac Arrest from Vital Sign Data of Intensive Care Unit Patients
Anggun Islami, Firdaus Firdaus, Bambang Tutuko et al. International Conference on Data Science and Its Applications (ICoDSA), 2023. Cites: paper

Towards Action-State Process Model Discovery
Alessio Bottrighi, Marco Guazzone, Giorgio Leonardi et al. Data, 2023. Cites: paper

Call to action for global and national actors for open health data
Isabelle Rose I. Alberto, Nicole Rose I. Alberto, Alvin Marcelo. PLOS Digital Health, 2023. Cites: paper

Disparities in cannabis use and documentation in electronic health records among children and young adults
Nazgol Tavabi, Marium M. Raza, Mallika Singh et al. npj Digital Medicine, 2023. Cites: paper

Iterative Partial Fulfillment of Counterfactual Explanations: Benefits and Risks
Yilun Zhou. Proceedings of the AAAI/ACM Conference on AI Ethics and Society, 2023. Cites: paper

Stress-Testing Bias Mitigation Algorithms to Understand Fairness Vulnerabilities
Karan Bhanot, Ioana Baldini, Dennis Wei et al. Proceedings of the AAAI/ACM Conference on AI Ethics and Society, 2023. Cites: paper

Early sodium bicarbonate infusion was associated with improved outcome in critically ill patients with acute moderate metabolic acidosis: a retrospective observational study
Sai Huang, Bo Yang, Yaojun Peng et al. Emergency and Critical Care Medicine, 2023. Cites: paper

LeafAI: query generator for clinical cohort discovery rivaling a human programmer
Nicholas J Dobbins, Bin Han, Weipeng Zhou et al. Journal of the American Medical Informatics Association, 2023. Cites: paper

The added value of text from Dutch general practitioner notes in predictive modeling
Tom M Seinen, Jan A. Kors, Erik M. van Mulligen et al. Journal of the American Medical Informatics Association, 2023. Cites: paper

Attention-based multimodal fusion with contrast for robust clinical prediction in the face of missing modalities
Jinghui Liu, Daniel Capurro N, Anthony N Nguyen et al. Journal of Biomedical Informatics, 2023. Cites: paper

Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications
Mila Nambiar, Supriyo Ghosh, Priscilla Ong et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. Cites: paper

FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation
Yushan Jiang, Wenchao Yu, Dongjin Song et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. Cites: paper

Navigating Alignment for Non-identical Client Class Sets: A Label Name-Anchored Federated Learning Framework
Jiayun Zhang, Xiyuan Zhang, Xinyang Zhang et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. Cites: paper

PyHealth: A Deep Learning Toolkit for Healthcare Applications
Chaoqi Yang, Zhenbang Wu, Patrick Jiang et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. Cites: paper

The Missing Indicator Method: From Low to High Dimensions
Mike Van Ness, Tomas M. Bosschieter, Roberto Halpin-Gregorio et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. Cites: paper

Toward a stable and low-resource PLM-based medical diagnostic system via prompt tuning and MoE structure
Bowen Dong, Zhuo Wang, Zhenyu Li et al. Scientific Reports, 2023. Cites: paper

An open source corpus and automatic tool for section identification in Spanish health records
Iker de la Iglesia, María Vivó, Paula Chocrón et al. Journal of Biomedical Informatics, 2023. Cites: paper

Adaptively Sparse Transformers Hawkes Process
Yue Gao, Jian–wei Liu. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, 2023. Cites: paper

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

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