Publications citing HiRID, a high time-resolution ICU dataset v1.1.1

Multi-Level Transfer Learning for irregular clinical time series prediction
Xingwang Li, Fei Teng, Minbo Ma et al. Knowledge-Based Systems, 2025. Cites: paper

Prediction of traumatic hemorrhagic shock using a Multi-scale exogenous variable model (MS-TimeXer-MoE)
Wenxin Wang, Bing Chen, Qiuyi Wang et al. European Journal of Trauma and Emergency Surgery, 2025. Cites: paper

Detecting and Remediating Harmful Data Shifts for the Responsible Deployment of Clinical AI Models
Vallijah Subasri, Amrit Krishnan, Ali Kore et al. JAMA Network Open, 2025. Cites: paper

AI in critical care: A narrative review of prospective applications and future potential in KSA's health transformation 2030
Zohair Ahmed Al Aseri, Melissa Cote, Salim A. Baharoon et al. Journal of Taibah University Medical Sciences, 2025. Cites: paper

Machine Learning-Based Models for Imputing Missing Values of Key Predictors of Important Clinical Outcomes in a Large-Scale Registry of Acute Myocardial Infarction
Haoyun Hong, Remy Poudel, Asishana Avo Osho et al. medRxiv, 2025. Cites: paper

Comparative performance of twelve machine learning models in predicting COVID-19 mortality risk in children: a population-based retrospective cohort study in Brazil
Adriano Lages dos Santos, Maria Christina L. Oliveira, Enrico A. Colosimo et al. PeerJ Computer Science, 2025. Cites: paper

Artificial intelligence applications in intensive care unit nursing: A narrative review (2020–2025)
Aiping Bi, Tie Li, Guohui Cheng et al. Digital Health, 2025. Cites: paper

Construction of a prognostic hierarchical model of intermediate-risk acute myeloid leukemia based on machine learning
Bianhong Wang, Ziqi Li, Ruixue Niu et al. Digital Health, 2025. Cites: paper

AI-Assisted Diagnosis and Treatment of Septic Shock
Xiaxia Yu, Liu Y. IntechOpen eBooks, 2025. Cites: paper

Human-Centric Requirements Engineering for Digital Health Software for Ageing People
Yuqing Xiao. ACM/IEEE International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), 2025. Cites: paper

Vasoactive-inotropic score for prediction of critical patient mortality: A systematic review
Umarmono Umarmono, Iwan Purnawan. Malahayati International Journal of Nursing and Health Science, 2025. Cites: paper

Ultralow‐Dimensionality Reduction for Identifying Critical Transitions by Spatial‐Temporal PCA
Pei Chen, Yaofang Suo, Kazuyuki Aihara et al. Advanced Science, 2025. Cites: paper

Development and Validation of a Dynamic Real-Time Risk Prediction Model for Intensive Care Units Patients Based on Longitudinal Irregular Data: Multicenter Retrospective Study
Zhuo Qun Zheng, Jiawei Luo, Yingchao Zhu et al. Journal of Medical Internet Research, 2025. Cites: paper

Inter-organ correlation based multi-task deep learning model for dynamically predicting functional deterioration in multiple organ systems of ICU patients
Zhixuan Zeng, Yang Liu, Shuo Yao et al. BioData Mining, 2025. Cites: paper

Hypotension Prediction Index Revalidation: Reply
Simon James Davies, Zhongping Jian, Monty G. Mythen et al. Anesthesiology, 2025. Cites: paper

The future of artificial intelligence in cardiovascular monitoring
Massimiliano Greco, Marta Lubian, Maurizio Cecconi. Current Opinion in Critical Care, 2025. Cites: paper

Requirements engineering for older adult digital health software: A systematic literature review
Yuqing Xiao, John Grundy, Anuradha K. Madugalla. Information and Software Technology, 2025. Cites: paper

Federated Transfer Learning for Early Detection of Multi-Organ Failure: A Scalable Predictive Healthcare Framework
C. K. Shahnazeer, G. Sureshkumar. International Conference on Machine Learning and Autonomous Systems (ICMLAS), 2025. Cites: paper

Deep learning‑based prediction of in‑hospital mortality for acute kidney injury
Li Yong, Dou Ruiyin, Xia Wang et al. Computer Methods in Biomechanics & Biomedical Engineering, 2025. Cites: paper

The impact of evaluation strategy on sepsis prediction model performance metrics in intensive care data
Dang-Khoa Do, Patrick Rockenschaub, Sebastian Daniel Boie et al. medRxiv, 2025. Cites: paper

Finding Consensus on Trust in AI in Health Care: Recommendations From a Panel of International Experts
Georg Starke, Felix Gille, Alberto Termine et al. Journal of Medical Internet Research, 2025. Cites: paper

Multicenter validation of a machine learning model to predict intensive care unit readmission within 48 hours after discharge
Leerang Lim, Min Ja Kim, Kyungjae Cho et al. EClinicalMedicine, 2025. Cites: paper

Artificial intelligence in age-related cardiogenic shock prediction: a systematic review and meta-analysis
Apurva Popat, Gauri Pethe, Sweta Yadav et al. Aging advances., 2025. Cites: paper

Key Concepts in Machine Learning and Clinical Applications in the Cardiac Intensive Care Unit
Dhruv Sarma, Aniket S. Rali, Jacob Colin Jentzer. Current Cardiology Reports, 2025. Cites: paper

CLEAR-Shock: Contrastive LEARning for Shock
Jeong Eul Kwon, Sung Woo Lee, Su Jin Kim et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

The AI tool that can interpret any spreadsheet instantly
Duncan C. McElfresh. Nature, 2025. Cites: paper

External validation of AI-based scoring systems in the ICU: a systematic review and meta-analysis
Patrick Rockenschaub, Ela Marie Z. Akay, Benjamin Gregory Carlisle et al. BMC Medical Informatics and Decision Making, 2025. Cites: paper

pyAKI—An open source solution to automated acute kidney injury classification
Christian Porschen, Jan Ernsting, Paul Brauckmann et al. PLoS ONE, 2025. Cites: paper

Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction
Kelli Henry, Shiyuan Deng, Xianyan Chen et al. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy, 2025. Cites: paper

An Imbalance-Aware Ensemble Model for Patient’s Mortality Prediction in Intensive Care Unit
Anh Phan, Chau Thi Ngoc Vo. Lecture notes in computer science, 2025. Cites: paper

Enhancing glucose level prediction of ICU patients through hierarchical modeling of irregular time-series
Mohammad Hadi Mehdizavareh, Arijit Khan, Simon Lebech Cichosz. Computational and Structural Biotechnology Journal, 2025. Cites: paper

Machine learning applications on healthcare systems
J. Karunanithi, E. Sundaravalli. AIP conference proceedings, 2025. Cites: paper

Machine learning approaches for colorectal cancer risk prediction and stratification
Manoj Kumar Gupta, Ramakrishna Vadde. Elsevier eBooks, 2025. Cites: paper

Optimizing Patient Care with Artificial Intelligence: Advanced Applications in Cardiac Intensive Care
Mauro Chiarito, Alessandro Giaj Levra, Luca Luceri. Springer eBooks, 2025. Cites: paper

Research on Mortality Prediction Model of NSICU Patients Based on Machine Learning
Xue Feng, Shifeng Liu. Lecture notes in operations research, 2025. Cites: paper

Machine Learning and Medical Data: Predicting ICU Mortality and Re-admission Risks
Ulya Bayram, Runia Roy. Journal of Advanced Research in Natural and Applied Sciences, 2024. Cites: paper

Beyond the alarm: proactive predictions for cardiac arrest incidents in hospitals using Interpretable machine learning models
Antra, U. Dinesh Kumar, Gaurav Loria et al. Journal of the Operational Research Society, 2024. Cites: paper

A machine learning tool for early identification of celiac disease autoimmunity
Michael Dreyfuss, B. Getz, Benjamin Lebwohl et al. Scientific Reports, 2024. Cites: paper

From intensive care monitors to cloud environments: a structured data pipeline for advanced clinical decision support
Sijm H. Noteboom, Eline Kho, Maria Galanty et al. EBioMedicine, 2024. Cites: paper

Leveraging the power of routinely collected ICU data
Lada Lijović, Paul Elbers. Intensive Care Medicine, 2024. Cites: paper

Circulatory Failure Prediction by Using Wavelet Transform and Machine Learning Methods
Xin Zhao, Xiaokai Nie. IEEE Industrial Electronics Society Annual On-Line Conference (ONCON), 2024. Cites: paper

Machine and Deep Learning Models for Hypoxemia Severity Triage in CBRNE Emergencies
Santino Nanini, Mariem Abid, Yassir Mamouni et al. Diagnostics, 2024. Cites: dataset, paper

Multi-horizon event detection for in-hospital clinical deterioration using dual-channel graph attention network
Thanh-Cong Do, Hyung-Jeong Yang, Soo-Hyung Kim et al. International Journal of Medical Informatics, 2024. Cites: paper

Exploring the Temporal Structure of Scalp EEG for Epilepsy Seizure Prediction
Wenzhuo Shen, Zhiyuan Yang, Guanglong Zhang et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. Cites: paper

EMR-LIP: A lightweight framework for standardizing the preprocessing of longitudinal irregular data in electronic medical records
Jiawei Luo, Shixin Huang, Lan Lan et al. Computer Methods and Programs in Biomedicine, 2024. Cites: paper

Development of Time-Aggregated Machine Learning Model for Relapse Prediction in Pediatric Crohn's Disease
Sooyoung Jang, Junlei Yu, Sowon Park et al. Clinical and Translational Gastroenterology, 2024. Cites: paper

Development of continuous warning system for timely prediction of septic shock
Gyumin Kim, Sung Woo Lee, Su Jin Kim et al. Frontiers in Physiology, 2024. Cites: paper

Explainable machine learning to identify patients at risk of developing hospital acquired infections
Andrew P. Creagh, Tom Pease, Philip Ashworth et al. medRxiv, 2024. Cites: paper

Machine learning for early dynamic prediction of functional outcome after stroke
Julian Klug, Guillaume Leclerc, Elisabeth Dirren et al. Communications Medicine, 2024. Cites: paper

Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction
Yudong Liu, Minghua Ma, Pu Zhao et al. IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW), 2024. Cites: paper

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