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

A multicentre validation study of the deep learning-based early warning score for predicting in-hospital cardiac arrest in patients admitted to general wards
Yeon Joo Lee, Kyung-Jae Cho, Oyeon Kwon et al. Resuscitation, 2021. Cites: paper

VitalDB: fostering collaboration in anaesthesia research
Simon Tilma Vistisen, Tom Pollard, Johannes Enevoldsen et al. British Journal of Anaesthesia, 2021. Cites: paper

Type 2 Diabetes with Artificial Intelligence Machine Learning: Methods and Evaluation
Leila Ismail, Huned Materwala, Maryam Tayefi et al. Archives of Computational Methods in Engineering, 2021. Cites: paper

Early prediction of cause-specific acute respiratory distress syndrome via interpretable machine-learning.
Junwei Wu, Chao Liu, Lixin Xie et al. Research Square, 2021. Cites: paper

Towards a pragmatist dealing with algorithmic bias in medical machine learning
Georg Starke, Eva De Clercq, Bernice S. Elger. Medicine Health Care and Philosophy, 2021. Cites: paper

On Disentanglement in Gaussian Process Variational Autoencoders
Simon Bing, Vincent Fortuin, Gunnar Rätsch. arXiv (Cornell University), 2021. Cites: paper

Künstliche Intelligenz in der Neurointensivmedizin
Nils Schweingruber, Christian P Gerloff. Der Nervenarzt, 2021. Cites: paper

Generalized Prediction of Hemodynamic Shock in Intensive Care Units
Aditya Nagori, Pradeep Singh, Sameena Firdos et al. medRxiv, 2021. Cites: paper

AEP-DLA: Adverse Event Prediction in Hospitalized Adult Patients Using Deep Learning Algorithms
Chieh‐Liang Wu, Ming-Ju Wu, Lun-Chi Chen et al. IEEE Access, 2021. Cites: paper

Early Prediction of Sepsis Based on Machine Learning Algorithm
Xin Zhao, Wenqian Shen, Guanjun Wang. Computational Intelligence and Neuroscience, 2021. Cites: paper

Empirical Analysis for Crime Prediction and Forecasting Using Machine Learning and Deep Learning Techniques
Wajiha Safat, Sohail Asghar, Saira Andleeb Gillani. IEEE Access, 2021. Cites: paper

Length of Stay Prediction for Northern Italy COVID-19 Patients Based on Lab Tests and X-Ray Data
Mattia Chiari, Alfonso Gerevini, Roberto Maroldi et al. Lecture notes in computer science, 2021. Cites: paper

Machine learning and big data in pediatric laboratory medicine
Shannon Haymond, Randall K. Julian, Emily L. Gill et al. Elsevier eBooks, 2021. Cites: paper

Rule-Augmented Artificial Intelligence Framework for Detecting Clinically Significant Abnormal Laboratory Result Patterns in Hospitalized Adults Using Sequential Blood Chemistry Panels, Vital Sign Trends, and Physician Response Times
Wei Chen, Li Zhang. Journal of Health Informatics and Digital Systems, 2021. Cites: paper

Development of a machine learning algorithm to predict intubation among hospitalized patients with COVID-19
Varun Arvind, Jun Kim, Brian Cho et al. Journal of Critical Care, 2020. Cites: paper

WRSE -- a non-parametric weighted-resolution ensemble for predicting individual survival distributions in the ICU
Jonathan Heitz, Joanna Ficek, Martin Faltys et al. arXiv (Cornell University), 2020. Cites: paper

Enhancing statistical power in temporal biomarker discovery through representative shapelet mining
Thomas Gumbsch, Christian Bock, Michael Moor et al. Bioinformatics, 2020. Cites: paper

Survival prediction of patients with sepsis from age, sex, and septic episode number alone
Davide Chicco, Giuseppe Jurman. Scientific Reports, 2020. Cites: paper

Comparing regression and neural network techniques for personalized predictive analytics to promote lung protective ventilation in Intensive Care Units
Rachael Hagan, Charles J. Gillan, Ivor T. A. Spence et al. Computers in Biology and Medicine, 2020. Cites: paper

Machine Learning Predicts Prolonged Acute Hypoxemic Respiratory Failure in Pediatric Severe Influenza
Michaël Sauthier, Philippe A. Jouvet, Margaret M. Newhams et al. Critical Care Explorations, 2020. Cites: paper

Screening for chronic obstructive pulmonary disease with artificial intelligence
Jean‐Emmanuel Bibault, Lei Xing. The Lancet Digital Health, 2020. Cites: paper

Machine learning for early detection of sepsis: an internal and temporal validation study
Armando Bedoya, Joseph Futoma, Meredith E. Clement et al. JAMIA Open, 2020. Cites: paper

Artificial Intelligence-Assisted Surgery: Potential and Challenges
Sebastian Bodenstedt, Martin Wagner, Beat Peter Müller-Stich et al. Visceral Medicine, 2020. Cites: paper

Precision medicine in anesthesiology
Laleh Jalilian, Maxime Cannesson. International Anesthesiology Clinics, 2020. Cites: paper

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