Database for Predicting Clinical Outcomes of Critically Ill Patients
Predicting Clinical Outcomes of Critically Ill Patients in Intensive Care Units With De-identification Database
National Taiwan University Hospital
20,000 participants
Sep 10, 2020
OBSERVATIONAL
Conditions
Summary
Australian and New Zealand Intensive Care Society (ANZICS) has built a Center of Outcome and Resource Evaluation (CORE) adult patients database (APD) of adult critically ill patients. ANZICS CORE APD has built an international collaboration of ICU database. National Taiwan University Hospital has joined this international collaboration and built the data according to the APD data dictionary with same value domain attributes and data element attributes. We retrospectively collected the data of patients discharged from the March 1, 2019 to June 30, 2022. Data of this database are permitted to study clinical problems and predict the clinical outcomes of these critically ill patients using statistical methods and machine learning techniques.
Eligibility
Inclusion Criteria1
- Critically ill patients admitted to intensive care units
Exclusion Criteria1
- patients aged less than 18 years
Interested in this trial?
Get notified about updates and connect with the research team.
Interventions
Critical care in the intensive care units
Locations(1)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT04541849