AI-based disease risk score for communityacquired pneumonia hospitalization
Saeed Shakibfar, Morten Andersen, Maurizio Sessa
doi:10.1016/j.isci
We developed a disease risk score for CAP hospitalization based on real-world data This tool can help to identify individuals requiring specific clinical management Further studies are needed to investigate the optimal use of our disease risk
Detailed methods are provided in the online version of this paper and include the following:
SUPPLEMENTAL INFORMATION Supplemental information can be found online at https://doi.org/10.1016/j.isci.2023.107027.
AUTHOR CONTRIBUTIONS S.S. wrote the original draft, conceptualized the study, and performed the data analysis. M.A. supervised the study, acquired the funding, and revised the manuscript. M.S. planned the study, performed the data analysis, wrote the original draft, and supervised the study.
DECLARATION OF INTERESTS None.
INCLUSION AND DIVERSITY We support inclusive, diverse, and equitable conduct of research.
KEY RESOURCES TABLE
RESOURCE AVAILABILITY
Lead contact Further information and requests for data sources should be directed to and will be fulfilled by the lead contact, Maurizio Sessa (maurizio.sessa@sund.ku.dk).
Material availability This study did not generate new unique reagents.
Data and code availability d All data will be shared upon request to the lead contact. No standardized datatype data were generated in this study. d This study did not generate new code. d Any additional analysis information for this work is available by request to the lead contact.
EXPERIMENTAL MODEL AND STUDY PARTICIPANT DETAILS The study does not need ethical approval and patient consent because Danish register-based cohort studies are exempted. Patient records/information before the analysis was pseudonymized. The University of Copenhagen and Statistics..
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