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

Unveiling the Influence of AI on Advancements in Respiratory Care: Narrative Review
Mohammed Μ. Alqahtani, Abdullah Alanazi, Saleh S. Algarni et al. Interactive Journal of Medical Research, 2024. Cites: paper

Intraoperative Hypotension Prediction: Current Methods, Controversies, and Research Outlook
Ramakrishna Mukkamala, Michael P. Schnetz, Ashish K. Khanna et al. Anesthesia & Analgesia, 2024. Cites: paper

Leveraging interpretable machine learning in intensive care
Lasse Bohlen, Julian Rosenberger, Patrick Zschech et al. Annals of Operations Research, 2024. Cites: paper

Tailoring Risk Prediction Models to Local Populations
Aniket N. Zinzuwadia, Olga Mineeva, Chunying Li et al. JAMA Cardiology, 2024. Cites: paper

Early Prediction of Cardiac Arrest in the Intensive Care Unit Using Explainable Machine Learning: Retrospective Study
Yun Kwan Kim, Won-Doo Seo, Sun Jung Lee et al. Journal of Medical Internet Research, 2024. Cites: paper

Exploring Clinical Practices of Critical Alarm Settings in Intensive Care Units: A Retrospective Study of 60,000 Patient Stays from the MIMIC-IV Database
Rémi Carencotte, Matthieu Oliver, Nicolas Allou et al. Journal of Medical Systems, 2024. Cites: paper

The role of Open Access Data in democratizing healthcare AI: A pathway to research enhancement, patient well-being and treatment equity in Andalusia, Spain
Álvaro Ritoré, Claudia M Jiménez, Juan Luis González-Caballero et al. PLOS Digital Health, 2024. Cites: paper

Latent Trajectories of Cerebral Perfusion Pressure and Risk Prediction Models Among Patients with Traumatic Brain Injury: Based on an Interpretable Artificial Neural Network
Hai Zhou, Yutong Zhao, Hui Zheng et al. World Neurosurgery, 2024. Cites: paper

An open-source framework for end-to-end analysis of electronic health record data
Lukas Heumos, Philipp Ehmele, Tim Treis et al. Nature Medicine, 2024. Cites: paper

Transatlantic transferability and replicability of machine-learning algorithms to predict mental health crises
João Guerreiro, Roger Garriga, Toni Lozano Bagén et al. npj Digital Medicine, 2024. Cites: paper

Enhancing Patient Selection in Sepsis Clinical Trials Design Through an AI Enrichment Strategy: Algorithm Development and Validation
Meicheng Yang, Jinqiang Zhuang, Wenhan Hu et al. Journal of Medical Internet Research, 2024. Cites: paper

On the Application of Artificial Intelligence/Machine Learning (AI/ML) in Late-Stage Clinical Development
Karl Köchert, Tim Friede, Michael Kunz et al. Therapeutic Innovation & Regulatory Science, 2024. Cites: paper

AI in conflict zones: the potential to revitalise healthcare in Syria and beyond
Munzer Alkhalil, Aula Abbara, Caroline Grangier et al. BMJ Global Health, 2024. Cites: paper

Optimizing damage control resuscitation through early patient identification and real‐time performance improvement
Daniela Schmulevich, Allyson M. Hynes, Shyam Murali et al. Transfusion, 2024. Cites: paper

Applying AI to Safely and Effectively Scale Care to Address Chronic MSK Conditions
Anabela C. Areias, Dora Janela, Robert Glenn Moulder Jr. et al. Journal of Clinical Medicine, 2024. Cites: paper

Continuous prediction and clinical alarm management of late-onset sepsis in preterm infants using vital signs from a patient monitor
Meicheng Yang, Zheng Qiang Peng, Carola van Pul et al. Computer Methods and Programs in Biomedicine, 2024. Cites: paper

Real time automatic risk prediction in ICU patients treated with ECMO
Filipe Ribeiro, Catarina Carvalho Cordes Amaral Barata, João Miguel Ribeiro et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024. Cites: paper

The Impact of Multi-Institution Datasets on the Generalizability of Machine Learning Prediction Models in the ICU
Patrick Rockenschaub, Adam Hilbert, Tabea Kossen et al. Critical Care Medicine, 2024. Cites: paper

Novel machine learning algorithm in risk prediction model for pan-cancer risk: application in a large prospective cohort
Xifeng Wu, Huakang Tu, Qingfeng Hu et al. BMJ Oncology, 2024. Cites: paper

RICD: Russian Intensive Care Dataset
Andrey V. Grechko, Mikhail Ya. Yadgarov, Alexey А. Yakovlev et al. General Reanimatology, 2024. Cites: paper

The Complete Inpatient Record Using Comprehensive Electronic Data ( CIRCE ) project: A team‐based approach to clinically validated, research‐ready electronic health record data
Andrea L.C. Schneider, Jennifer C. Ginestra, Meeta Prasad Kerlin et al. Learning Health Systems, 2024. Cites: paper

Enhancing the diagnosis of functionally relevant coronary artery disease with machine learning
Christian Bock, Joan Elias Walter, Bastian Rieck et al. Nature Communications, 2024. Cites: paper

Intelligent alert system for predicting invasive mechanical ventilation needs via noninvasive parameters: employing an integrated machine learning method with integration of multicenter databases
Guang Zhang, Qingyan Xie, Chengyi Wang et al. Medical & Biological Engineering & Computing, 2024. Cites: paper

Predictive approach for liberation from acute dialysis in ICU patients using interpretable machine learning
Tsai‐Jung Wang, Chun-Te Huang, Chieh‐Liang Wu et al. Scientific Reports, 2024. Cites: paper

A risk prediction model for efficient intubation in the emergency department: A 4‐year single‐center retrospective analysis
Hongbo Ding, Xue Feng, Qi Yang et al. Journal of the American College of Emergency Physicians Open, 2024. Cites: paper

Recent Advances in Digital Technology in Implant Dentistry
Jian Wang, B. Wang, Yue Liu et al. Journal of Dental Research, 2024. Cites: paper

Using routinely collected clinical data for circadian medicine: A review of opportunities and challenges
Laura Kervezee, Hassan S. Dashti, Luísa K. Pilz et al. PLOS Digital Health, 2024. Cites: paper

Predicting 1 Year Readmission for Heart Failure: A Comparative Study of Machine Learning and the LACE Index
Xuewu Song, Yitong Tong, Feng Xian et al. ESC Heart Failure, 2024. Cites: paper

A Systematic Review of Financial Risk Early Warning in Higher Education Institutions
YU CHAO, Nur Fazidah Elias, Yazrina Yahya et al. Research Square, 2024. Cites: paper

„Data-driven-Intensivmedizin“: Mangel an umfassenden Datensätzen
Jan-Hendrik Hardenberg. Medizinische Klinik - Intensivmedizin und Notfallmedizin, 2024. Cites: paper

Simplifying Data Analysis in Biomedical Research: An Automated, User-Friendly Tool
Ruben Araújo, Luís Ramalhete, Ana Viegas et al. Methods and Protocols, 2024. Cites: paper

Early Warning Systems for Critical Illness Outside the Intensive Care Unit
Katharine E. Henry, Heather M. Giannini. Critical Care Clinics, 2024. Cites: paper

An empirical study on KDIGO-defined acute kidney injury prediction in the intensive care unit
Xinrui Lyu, Bowen Fan, Matthias Hüser et al. Bioinformatics, 2024. Cites: paper

A common data model for the standardization of intensive care unit medication features
Andrea N. Sikora, Kelli R. Keats, David J. Murphy et al. JAMIA Open, 2024. Cites: paper

Development and validation of a machine learning model for prediction of type 2 diabetes in patients with mental illness
Martin Bernstorff, Lasse Hansen, Kenneth Enevoldsen et al. Acta Psychiatrica Scandinavica, 2024. Cites: paper

Comparison of Differences in Cohort (Forward) and Case Control (Backward) Methodologic Approaches for Validation of the Hypotension Prediction Index
Simon James Davies, Daniel I. Sessler, Zhongping Jian et al. Anesthesiology, 2024. Cites: paper

Artificial intelligence and machine learning: Definition of terms and current concepts in critical care research
Kai Sun, Arkajyoti Roy, Joshua M. Tobin. Journal of Critical Care, 2024. Cites: paper

Harnessing Big Data in Critical Care: Exploring a new European Dataset
Niklas Rodemund, Bernhard Wernly, Christian Jung et al. Scientific Data, 2024. Cites: dataset

Künstliche Intelligenz in der Intensivmedizin
André Baumgart, Grietje Ch Beck, David Ghezel-Ahmadi. Medizinische Klinik - Intensivmedizin und Notfallmedizin, 2024. Cites: paper

Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction
Kelli R. Keats, Shiyuan Deng, Xianyan Chen et al. medRxiv, 2024. Cites: paper

Early prediction of ventricular peritoneal shunt dependency in aneurysmal subarachnoid haemorrhage patients by recurrent neural network-based machine learning using routine intensive care unit data
Nils Schweingruber, Jan Bremer, Anton Wiehe et al. Journal of Clinical Monitoring and Computing, 2024. Cites: paper

A supervised, externally validated machine learning model for artifact and drainage detection in high-resolution intracranial pressure monitoring data
Shufan Huo, Alexander Nelde, Christian Meisel et al. Journal of neurosurgery, 2024. Cites: paper

High throughput biological sequence analysis using machine learning-based integrative pipeline for extracting functional annotation and visualization
Md Al Amin, Feroza Naznin, Mst. Nilufa Yeasmin et al. F1000Research, 2024. Cites: paper

Predictive Modelling of Critical Vital Signs in ICU Patients by Machine Learning: An Early Warning System for Improved Patient Outcomes
Senthil Pandi S, T Kumaragurubaran, Vijay Raj S R et al. International Conference for Innovation in Technology (INOCON), 2024. Cites: paper

Decoding 2.3 million ECGs: interpretable deep learning for advancing cardiovascular diagnosis and mortality risk stratification
Lei Lü, Tingting Zhu, Antônio H. Ribeiro et al. European Heart Journal - Digital Health, 2024. Cites: paper

Experts vs. machine – comparison of machine learning to expert-informed prediction of outcome after major liver surgery
Roxane D. Staiger, Tarun Mehra, Sarah Roberta Haile et al. HPB, 2024. Cites: paper

FAMEWS: a Fairness Auditing tool for Medical Early-Warning Systems
Marine Hoche, Olga Mineeva, Manuel Burger et al. medRxiv, 2024. Cites: paper

An Empirical Study on KDIGO-Defined Acute Kidney Injury Prediction in the Intensive Care Unit
Xinrui Lyu, Bowen Fan, Matthias Hüser et al. medRxiv, 2024. Cites: paper

Technische Aspekte und Neuerungen in der nicht-invasiven und invasiven Beatmung
Dominic Dellweg, Philipp Moritz Lepper. Pneumologie, 2024. Cites: paper

Machine learning in healthcare and the methodological priority of epistemology over ethics
Thomas Grote. Inquiry, 2024. Cites: paper

Cited by