ArticleGigaScience2022
ricu: R's interface to intensive care data.
Article in GigaScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- External validation of AI-based scoring systems in the ICU: a systematic review and meta-analysis.BMC medical informatics and decision making · 2025Pooled it
- Rapid Evaluation of Coronavirus Illness Severity (RECOILS) in intensive care: Development and validation of a prognostic tool for in-hospital mortality.Acta anaesthesiologica Scandinavica · 2022Pooled it
- Ultra-early versus early adjunctive vasopressin initiation after norepinephrine escalation in septic shock: a target trial emulation.Intensive care medicine · 2026Article
- The Impact of Evaluation Strategy on Sepsis Prediction Model Performance Metrics in Intensive Care Data: Retrospective Cohort Study.Journal of medical Internet research · 2026Observational
- Evaluating deep learning sepsis prediction models in ICUs under distribution shift: a multi-centre retrospective cohort study.NPJ digital medicine · 2026Article
- Multimodal data for predictive medicine: algorithmic fusion of clinical data in anesthesiology and intensive care.Frontiers in medicine · 2026Article
- Deep learning guided propofol ketamine dosing and inflammation trajectories in elderly burns.Frontiers in computational neuroscience · 2026Article
- Pitfalls and paradoxes: blood transfusion in 5 public ICU databases.Critical care (London, England) · 2025Article
- Subphenotypes and the De Ritis ratio for mortality risk stratification in sepsis-associated acute liver injury: a retrospective cohort study.EClinicalMedicine · 2025Article
- A framework and analytical exploration for a data-driven update of the Sequential Organ Failure Assessment (SOFA) score in sepsis.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2025Article
- Modelling in-hospital length of stay: A comparison of linear and ensemble models for competing risk analysis.PloS one · 2025Article
- An optimal antibiotic selection framework for Sepsis patients using Artificial Intelligence.NPJ digital medicine · 2024Article
- The Impact of Multi-Institution Datasets on the Generalizability of Machine Learning Prediction Models in the ICU.Critical care medicine · 2024Observational
- End-tidal carbon dioxide and arterial to end-tidal carbon dioxide gradient are associated with mortality in patients with neurological injuries.Scientific reports · 2024Article
- Predicting sepsis using deep learning across international sites: a retrospective development and validation study.EClinicalMedicine · 2023Article
- The obesity paradox and hypoglycemia in critically ill patients.Critical care (London, England) · 2021Article
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Authors and funding
5 authors.
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Abstract
objectiveTo develop a unified framework for analyzing data from 5 large publicly available intensive care unit (ICU) datasets.
findingsUsing 3 American (Medical Information Mart for Intensive Care III, Medical Information Mart for Intensive Care IV, electronic ICU) and 2 European (Amsterdam University Medical Center Database, High Time Resolution ICU Dataset) databases, we constructed a mapping for each database to a set of clinically relevant concepts, which are grounded in the Observational Medical Outcomes Partnership Vocabulary wherever possible. Furthermore, we performed synchronization in the units of measurement and data type representation. On top of this, we built functionality, which allows the user to download, set up, and load data from all of the 5 databases, through a unified Application Programming Interface. The resulting ricu R-package represents the computational infrastructure for handling publicly available ICU datasets, and its latest release allows the user to load 119 existing clinical concepts from the 5 data sources.
conclusionThe ricu R-package (available on GitHub and CRAN) is the first tool that enables users to analyze publicly available ICU datasets simultaneously (datasets are available upon request from respective owners). Such an interface saves researchers time when analyzing ICU data and helps reproducibility. We hope that ricu can become a community-wide effort, so that data harmonization is not repeated by each research group separately. One current limitation is that concepts were added on a case-to-case basis, and therefore the resulting dictionary of concepts is not comprehensive. Further work is needed to make the dictionary comprehensive.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.