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

Machine Learning to Infer a Health State Using Biomedical Signals — Detection of Hypoglycemia in People with Diabetes while Driving Real Cars
Vera Franziska Lehmann, Thomas Züger, Martin Maritsch et al. NEJM AI, 2024. Cites: paper

ARTEMIS: An alarm threshold and policy mining system for the intensive care unit
Jonas Chromik, Anne Rike Flint, Bert Arnrich A. International Journal of Medical Informatics, 2024. Cites: paper

Identifying the need for infection-related consultations in intensive care patients using machine learning models
Leslie R. Zwerwer, Christian F. Luz, Dimitrios Soudis et al. Scientific Reports, 2024. Cites: paper

Extracting Dynamic Information of Temporal Clinical Data to Predict the Outcome in Critically Ill Patients
Jing Xia, Yi Ren, Zhenchuan Zhang et al. Studies in health technology and informatics, 2024. Cites: paper

MHC-I upregulation safeguards neoplastic T cells in the skin against NK cell-mediated eradication in mycosis fungoides
Yun‐Tsan Chang, Pacôme Prompsy, Susanne Kimeswenger et al. Nature Communications, 2024. Cites: paper

Towards integration of artificial intelligence into medical devices as a real-time recommender system for personalised healthcare: State-of-the-art and future prospects
Talha Iqbal, Mehedi Masud, Bilal Amin et al. Health Sciences Review, 2024. Cites: paper

RMS: A ML-based system for ICU Respiratory Monitoring and Resource Planning
Matthias Hüser, Xinrui Lyu, Martin Faltys et al. medRxiv, 2024. Cites: dataset, paper

Comparing Open-Access Database and Traditional Intensive Care Studies Using Machine Learning: Bibliometric Analysis Study
Yuhe Ke, Rui Yang, Nan Liu. Journal of Medical Internet Research, 2024. Cites: dataset

Chinese experts’ consensus on the application of intensive care big data
Longxiang Su, Shengjun Liu, Yun Long et al. Frontiers in Medicine, 2024. Cites: paper

Heart rate complexity helps mortality prediction in the intensive care unit: A pilot study using artificial intelligence
Salah Boussen, Manuela Bénard-Tertrais, Mathilde Ogéa et al. Computers in Biology and Medicine, 2024. Cites: paper

A locally optimised machine learning approach to early prognostication of long-term neurological outcomes after out-of-hospital cardiac arrest
Vincent Pey, Emmanuel Doumard, Matthieu Komorowski et al. Digital Health, 2024. Cites: paper

Artificial Intelligence for Mechanical Ventilation: A Transformative Shift in Critical Care
Giovanni Misseri, Matteo Piattoli, Giuseppe Cuttone et al. Therapeutic Advances in Pulmonary and Critical Care Medicine, 2024. Cites: paper

Designing for Complementarity: A Conceptual Framework to Go Beyond the Current Paradigm of Using XAI in Healthcare
Elisa Rubegni, Omran Ayoub, Stefania Rizzo et al. Lecture notes in computer science, 2024. Cites: paper

Early Prediction of Sepsis Using Machine Learning Algorithms: A Review
N. Shanthi, A. Aadhishri, R.C. Suganthe et al. Communications in computer and information science, 2024. Cites: paper

Machine learning for prediction of transcatheter mitral valve repair outcomes: A systematic review
Ethan Sacoransky, Danny Yu Jia Ke, Wael Abuzeid. Informatics in Medicine Unlocked, 2024. Cites: paper

MATSA: An MRAM-Based Energy-Efficient Accelerator for Time Series Analysis
Ivan Fernandez, Christina Giannoula, Aditya Manglik et al. IEEE Access, 2024. Cites: paper

Medical Education: Considerations for a Successful Integration of Learning with and Learning about AI
Dina Domrös-Zoungrana, Neda Rajaeean, Sebastian Daniel Boie et al. Journal of Medical Education and Curricular Development, 2024. Cites: paper

Multi-Horizon Event Detection for In-Hospital Clinical Deterioration Using Dual-Channel Graph Attention Network
Hyung-Jeong Yang, Thanh-Cong Do, Soo-Hyung Kim et al. SSRN Electronic Journal, 2024. Cites: paper

Prediction and Machine Learning Models for Early Prediction of AKI
Massimiliano Greco, Ilesa Bose, Giovanni Angelotti. Springer eBooks, 2024. Cites: paper

Role of artificial intelligence in haemodynamic monitoring
Sheila Nainan Myatra, Bharat G Jagiasi, Neeraj Pal Singh et al. Indian Journal of Anaesthesia, 2024. Cites: paper

Short-Term Prediction of Serum Sodium Level in the Icu Utilizing Interpretable Machine Learning
Tong-Peng Guan, Yiyang Cen, Jiang Zhu et al. SSRN Electronic Journal, 2024. Cites: paper

External Validation of Deep Learning-Based Cardiac Arrest Risk Management System for Predicting In-Hospital Cardiac Arrest in Patients Admitted to General Wards Based on Rapid Response System Operating and Nonoperating Periods: A Single-Center Study
Kyung-Jae Cho, Kwan Hyung Kim, Jae-Woo Choi et al. Critical Care Medicine, 2023. Cites: paper

AI Based Smart Intensive Care Unit – A Survey
Sharmila S, D Giriprasaath, R Harihareshwer. International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM), 2023. Cites: paper

Artificial Intelligence in the Early Prediction of Cardiogenic Shock in Acute Heart Failure or Myocardial Infarction Patients: A Systematic Review and Meta-Analysis
Apurva Popat, Sweta Yadav, Sagar K Patel et al. Cureus, 2023. Cites: paper

Exploratory electronic health record analysis with ehrapy
Lukas Heumos, Philipp Ehmele, Tim Treis et al. medRxiv, 2023. Cites: paper

A Survey of Generative Adversarial Networks for Synthesizing Structured Electronic Health Records
Ghadeer O. Ghosheh, Jin Li, Tingting Zhu. ACM Computing Surveys, 2023. Cites: paper

Designing Effective ML Baseline Models using Ensemble and Probability Threshold Tuning Methods: A study on Cardiac Arrhythmia and Hospital Readmissions
Pooja P. Patel, Sanchita Juneja, Laura-Amira Talaat-Hamid et al. Research Square, 2023. Cites: paper

Mortality prediction with adaptive feature importance recalibration for peritoneal dialysis patients
Liantao Ma, Chaohe Zhang, Junyi Gao et al. Patterns, 2023. Cites: paper

Optimizing artificial intelligence in sepsis management: Opportunities in the present and looking closely to the future
Darragh O’Reilly, Jennifer McGrath, Ignacio Martín‐Loeches. Journal of Intensive Medicine, 2023. Cites: paper

Physicians’ Professional Role in Clinical Care: AI as a Change Agent
Giorgia Pozzi, Jeroen van den Hoven. The American Journal of Bioethics, 2023. Cites: paper

A Machine-Learning-Based Approach for Identifying Diagnostic Errors in Electronic Medical Records
Butian Zhao, Runtong Zhang, Donghua Chen et al. IEEE Transactions on Reliability, 2023. Cites: paper

ICU Patients’ Pattern Recognition and Correlation Identification of Vital Parameters Using Optimized Machine Learning Models
Ganesh Yallabandi, Veena Mayya, Jayakumar Jeganathan et al. International journal of electrical and computer engineering systems, 2023. Cites: paper

Advancing prognostic precision in pulmonary embolism: A clinical and laboratory-based artificial intelligence approach for enhanced early mortality risk stratification
Seyed‐Ali Sadegh‐Zadeh, Hanieh Sakha, Sobhan Movahedi et al. Computers in Biology and Medicine, 2023. Cites: paper

Establishment of a model for predicting preterm birth based on the machine learning algorithm
Yao Zhang, Sisi Du, Tingting Hu et al. BMC Pregnancy and Childbirth, 2023. Cites: paper

Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU
Andrea N. Sikora, Tianyi Zhang, David J. Murphy et al. Scientific Reports, 2023. Cites: paper

Edges are all you need: Potential of Medical Time Series Analysis with Graph Neural Networks.
Daniel Walke, Daniel Steinbach, Sebastian Gibb et al. Research Square, 2023. Cites: paper

The SingHealth Perioperative and Anesthesia Subject Area Registry (PASAR), a large-scale perioperative data mart and registry
Hairil Rizal Abdullah, Daniel Yan Zheng Lim, Yuhe Ke et al. Korean Journal of Anesthesiology, 2023. Cites: paper

Application of extended criteria donor grafts in liver transplantation for acute-on-chronic liver failure: A retrospective cohort study
Jinlong Gong, Jia Yu, Tielong Wang et al. World Journal of Gastroenterology, 2023. Cites: paper

Early prediction of need for invasive mechanical ventilation in the neonatal intensive care unit using artificial intelligence and electronic health records: a clinical study
Young‐A Kim, Hyeongsub Kim, Jae-Woo Choi et al. BMC Pediatrics, 2023. Cites: paper

Explainable Machine Learning Models for Rapid Risk Stratification in the Emergency Department: A Multicenter Study
William P. T. M. van Doorn, Floris Helmich, Paul M. E. L. van Dam et al. The Journal of Applied Laboratory Medicine, 2023. Cites: paper

Improving cardiovascular risk prediction through machine learning modelling of irregularly repeated electronic health records
Chaiquan Li, Xiaofei Liu, Peng Shen et al. European Heart Journal - Digital Health, 2023. Cites: paper

Künstliche Intelligenz – Fokus Intensivmedizin
Paul Köglberger. Anästhesie Nachrichten, 2023. Cites: paper

Generalisability 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. medRxiv, 2023. Cites: paper

High Throughput Biological Sequence Analysis Using Machine Learning-Based Integrative Pipeline for Extracting Functional Annotation and Visualization.
Md. Al Amin. 2023. Cites: paper

The application of artificial intelligence in the management of sepsis
Jie Yang, Sicheng Hao, Jiajie Huang et al. Medical Review, 2023. Cites: paper

Distribution and trajectory of vital signs from high-frequency continuous monitoring during pediatric critical care transport
Zhiqiang Huo, John Booth, Thomas Monks et al. Intensive Care Medicine – Paediatric and Neonatal, 2023. Cites: paper

Introducing the BlendedICU dataset, the first harmonized, international intensive care dataset
Matthieu Oliver, Jérôme Allyn, Rémi Carencotte et al. Journal of Biomedical Informatics, 2023. Cites: paper

A Risk Prediction Model for Efficient Intubation in the Emergency Department: A Five-Year Single-Center Retrospective Analysis
Hongbo Ding, Xue Feng, Qi Yang et al. Research Square, 2023. Cites: paper

Multi-omics indicators of long-term survival benefits after immune checkpoint inhibitor therapy
Jie Zhao, Yiting Dong, Hua Bai et al. Cell Reports Methods, 2023. Cites: paper

A Common Data Model for the standardization of intensive care unit (ICU) medication features in artificial intelligence (AI) applications
Andrea N. Sikora, Kelli R. Keats, David J. Murphy et al. medRxiv, 2023. Cites: paper

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