Cited by
HiRID, a high time-resolution ICU dataset (v1.1.1)
474 publications cite any version of this project or its primary paper, newest first.
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Development, validation, and feature extraction of a deep learning model predicting in-hospital mortality using Japan’s largest national ICU database: a validation framework for transparent clinical Artificial Intelligence (cAI) development
Julian Euma Ishii-Rousseau, Nobutoshi Nawa, Satoru Hashimoto et al. Anaesthesia Critical Care & Pain Medicine, 2022. Cites: paper -
Lifting Hospital Electronic Health Record Data Treasures: Challenges and Opportunities
Alexander Maletzky, Carl Böck, Thomas Tschoellitsch et al. JMIR Medical Informatics, 2022. Cites: paper -
Status Forecasting Based on the Baseline Information Using Logistic Regression
Xin Zhao, Xiaokai Nie. Entropy, 2022. Cites: paper -
DeepMPM: a mortality risk prediction model using longitudinal EHR data
Fan Yang, Jian Zhang, Wanyi Chen et al. BMC Bioinformatics, 2022. Cites: paper -
Drug Treatment Effect Model Based on MODWT and Hawkes Self-Exciting Point Process
Xiaokai Nie, Xin Zhao. Computational and Mathematical Methods in Medicine, 2022. Cites: paper -
Machine learning for dynamic and early prediction of acute kidney injury after cardiac surgery
Christopher T. Ryan, Zijian Zeng, Subhasis Chatterjee et al. Journal of Thoracic and Cardiovascular Surgery, 2022. Cites: paper -
Invasive mechanical ventilation probability estimation using machine learning methods based on non-invasive parameters
Huiquan Wang, Chengyi Wang, Jiameng Xu et al. Biomedical Signal Processing and Control, 2022. Cites: paper -
Current status and trends in researches based on public intensive care databases: A scientometric investigation
Min Li, Shuzhang Du. Frontiers in Public Health, 2022. Cites: paper -
mRisk
Md Azim Ullah, Soujanya Chatterjee, Christopher P. Fagundes et al. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, 2022. Cites: paper -
Individualized Dynamic Patient Monitoring Under Alarm Fatigue
Hossein Piri, Woonghee Tim Huh, Steven M. Shechter et al. Operations Research, 2022. Cites: paper -
Development and validation of an interpretable 3 day intensive care unit readmission prediction model using explainable boosting machines
Stefan Hegselmann, Christian Ertmer, Thomas Volkert et al. Frontiers in Medicine, 2022. Cites: paper -
Clinical deployment environments: Five pillars of translational machine learning for health
Steve K. Harris, Timothy Bonnici, Thomas Keen et al. Frontiers in Digital Health, 2022. Cites: paper -
Early Prediction of All-Cause Clinical Deterioration in General Wards Patients: Development and Validation of a Biomarker-Based Machine Learning Model Derived From Rapid Response Team Activations
Antoine Saab, Cynthia Abi Khalil, Mouin Jammal et al. Journal of Patient Safety, 2022. Cites: paper -
MedML: Fusing medical knowledge and machine learning models for early pediatric COVID-19 hospitalization and severity prediction
Junyi Gao, Chaoqi Yang, Joerg Heintz et al. iScience, 2022. Cites: paper -
Computational approaches to alleviate alarm fatigue in intensive care medicine: A systematic literature review
Jonas Chromik, Sophie Anne Inès Klopfenstein, Bjarne Pfitzner et al. Frontiers in Digital Health, 2022. Cites: paper -
Time‐dependent prediction of mortality and cytomegalovirus reactivation after allogeneic hematopoietic cell transplantation using machine learning
Lisa Eisenberg, Christian Brossette, Jochen Rauch et al. American Journal of Hematology, 2022. Cites: paper -
Machine learning for real-time aggregated prediction of hospital admission for emergency patients
Zella King, Joseph Farrington, Martin Utley et al. npj Digital Medicine, 2022. Cites: paper -
Conditional generation of medical time series for extrapolation to underrepresented populations
Simon Bing, Andrea Dittadi, Stefan Bauer et al. PLOS Digital Health, 2022. Cites: paper -
External validation of a machine learning model to predict hemodynamic instability in intensive care unit
Dung-Hung Chiang, Cong Tian, Jiang Zeyu et al. Critical Care, 2022. Cites: paper -
Development and validation of a deep learning model to predict the survival of patients in ICU
Hai Tang, Zhuochen Jin, Jiajun Deng et al. Journal of the American Medical Informatics Association, 2022. Cites: paper -
Karl Jaspers and artificial neural nets: on the relation of explaining and understanding artificial intelligence in medicine
Georg Starke, Christopher J. Poppe. Ethics and Information Technology, 2022. Cites: paper -
Improving preeclampsia risk prediction by modeling pregnancy trajectories from routinely collected electronic medical record data
Shilong Li, Zichen Wang, Luciana Vieira et al. npj Digital Medicine, 2022. Cites: paper -
Clinically Interpretable Machine Learning Models for Early Prediction of Mortality in Older Patients with Multiple Organ Dysfunction Syndrome: An International Multicenter Retrospective Study
Xiaoli Liu, Clark DuMontier, Pan Hu et al. The Journals of Gerontology Series A, 2022. Cites: paper -
The Match of Electrocardiogram and Artificial Intelligence Confers an Opportunity for Pulmonary Hypertension Screening
Shengxian Tu, Miao Chu. JACC Asia, 2022. Cites: paper -
Machine learning model to predict mental health crises from electronic health records
Roger Garriga, Javier Mas, Semhar Abraha et al. Nature Medicine, 2022. Cites: paper -
Gauging the Gaps for Decision Support - Data integration in the Hospital Information Systems with Machine Learning
William Yu Chung Wang, Philip Hong Wei Jiang, Thye GOH Tiong et al. International Conference on Medical and Health Informatics (ICMHI), 2022. Cites: paper -
Early prediction of moderate-to-severe condition of inhalation-induced acute respiratory distress syndrome via interpretable machine learning
Junwei Wu, Chao Liu, Lixin Xie et al. BMC Pulmonary Medicine, 2022. Cites: paper -
Modern Learning from Big Data in Critical Care: Primum Non Nocere
Benjamin Yaël Gravesteijn, Ewout Willem Steyerberg, Hester Floor Lingsma. Neurocritical Care, 2022. Cites: paper -
Federated Learning for Electronic Health Records
Trung Kien Dang, Lan Xiang, Jianshu Weng et al. ACM Transactions on Intelligent Systems and Technology, 2022. Cites: paper -
Evaluating the NURSAI CARES Maturity Model for Measuring Organizational Readiness in Clinical Risk Visibility AI-Assisted Prioritization Escalation Reliability Documentation Continuity and Patient Safety Verification
Taiwo Juliana Dada, Abutu Ann Oine. International Journal of Scientific Research in Science and Technology, 2022. Cites: paper -
Retrieval Algorithm of Water Pollutant Concentration Based on UAV Remote Sensing Technology
Min Ling, Qun Cheng, Jun Peng et al. Mobile Information Systems, 2022. Cites: paper -
Guiding Efficient, Effective, and Patient-Oriented Electrolyte Replacement in Critical Care: An Artificial Intelligence Reinforcement Learning Approach
Niranjani Prasad, Aishwarya Mandyam, Corey Chivers et al. Journal of Personalized Medicine, 2022. Cites: paper -
Research on Influencing Factors and Early Warning of University Finance Based on Decision Tree Model
Meijuan Jiang. Mobile Information Systems, 2022. Cites: paper -
Experiences and mediating factors in nurses' responses to electronic device alarms: A phenomenological study
Fidel López‐Espuela, Beatriz Rodríguez‐Martin, Jesús María Lavado García et al. Journal of Nursing Management, 2022. Cites: paper -
Dynamic forecasting of severe acute graft-versus-host disease after transplantation
Xueou Liu, Yigeng Cao, Ye Guo et al. Nature Computational Science, 2022. Cites: paper -
Prior Distribution Estimation of Monitored Information in the Intensive Care Unit with the Hidden Markov Model and Decision Tree Methods
Xin Zhao, Xiaokai Nie, Guofei Pang et al. Journal of Healthcare Engineering, 2022. Cites: paper -
Situated Visual Alarm Displays Support Machine Fitness Assessment for Nonexplainable Automation
Michael F. Rayo, Chelsea R. Horwood, Morgan C. Fitzgerald et al. IEEE Transactions on Human-Machine Systems, 2022. Cites: paper -
Early identification of ICU patients at risk of complications: Regularization based on robustness and stability of explanations
Tiago Amador, Saulo Fernandes Saturnino, Adriano Veloso et al. Artificial Intelligence in Medicine, 2022. Cites: paper -
Prediction of hearing recovery in unilateral sudden sensorineural hearing loss using artificial intelligence
Min Kyu Lee, Eun‐Tae Jeon, Namyoung Baek et al. Scientific Reports, 2022. Cites: paper -
Sepsis Prediction for the General Ward Setting
Sean Yu, Aditi Gupta, Kevin D. Betthauser et al. Frontiers in Digital Health, 2022. Cites: paper -
Systematic Review and Comparison of Publicly Available ICU Data Sets—A Decision Guide for Clinicians and Data Scientists
Christopher Martin Sauer, Tariq A. Dam, Leo Anthony Celi et al. Critical Care Medicine, 2022. Cites: dataset, paper -
Künstliche Intelligenz: Infrastrukturen und Voraussetzungen auf europäischer Ebene
Sebastian Johannes Fritsch, Oliver Maaßen, Morris Riedel. AINS - Anästhesiologie · Intensivmedizin · Notfallmedizin · Schmerztherapie, 2022. Cites: paper -
Development and validation of a deep neural network–based model to predict acute kidney injury following intravenous administration of iodinated contrast media in hospitalized patients with chronic kidney disease: a multicohort analysis
Ping Yan, Shao-Bin Duan, Xiao-Qin Luo et al. Nephrology Dialysis Transplantation, 2022. Cites: paper -
A machine learning model for predicting deterioration of COVID-19 inpatients
Omer Noy, Dan Coster, Maya Metzger et al. Scientific Reports, 2022. Cites: paper -
Explainable Machine Learning for Lung Cancer Screening Models
Katarzyna Kobylińska, Tadeusz Maria Orlowski, Mariusz Adamek et al. Applied Sciences, 2022. Cites: paper -
Prognosis Prediction of Uveal Melanoma After Plaque Brachytherapy Based on Ultrasound With Machine Learning
Jingting Luo, Yuning Chen, Yuhang Yang et al. Frontiers in Medicine, 2022. Cites: paper -
Machine learning in perioperative medicine: a systematic review
Valentina Bellini, Marina Valente, Giorgia Bertorelli et al. Journal of Anesthesia Analgesia and Critical Care, 2022. Cites: paper -
Ethical Considerations Related to Using Machine Learning-Based Prediction of Mortality in the Pediatric Intensive Care Unit
Kelly N. Michelson, Craig M. Klugman, Abel N. Kho et al. The Journal of Pediatrics, 2022. Cites: paper -
An Interrelated Decision-Making Model for an Intelligent Decision Support System in Healthcare
Normadiah Mahiddin, Zulaiha Ali Othman, Azuraliza Abu Bakar et al. IEEE Access, 2022. Cites: paper -
Applying AI to Manage Acute and Chronic Clinical Condition
Rachael Hagan, Charles J. Gillan, Murali Shyamsundar. Springer eBooks, 2022. Cites: paper
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.