Back to Search
Start Over
Drug-related fall risk in hospitals: a machine learning approach.
- Source :
- Acta Paulista de Enfermagem; 2023, Vol. 36 Issue 1, p1-7, 7p
- Publication Year :
- 2023
-
Abstract
- <i>Copyright of Acta Paulista de Enfermagem is the property of Universidade Federal de Sao Paulo, Escola Paulista de Enfermagem and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
- Subjects :
- HOSPITALS
STATISTICS
NARCOTICS
ANTIDEPRESSANTS
MACHINE learning
TERTIARY care
RETROSPECTIVE studies
CASE-control method
RANDOM forest algorithms
ACQUISITION of data
RISK assessment
COMPARATIVE studies
ACCIDENTAL falls
DRUGS
MEDICAL records
DECISION making
DESCRIPTIVE statistics
DRUG side effects
DATA analysis
LOGISTIC regression analysis
PATIENT care
DATA analysis software
RECEIVER operating characteristic curves
ALGORITHMS
PROBABILITY theory
TRANQUILIZING drugs
ANTIPSYCHOTIC agents
MORSE Fall Scale
Subjects
Details
- Language :
- English
- ISSN :
- 01032100
- Volume :
- 36
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Acta Paulista de Enfermagem
- Publication Type :
- Academic Journal
- Accession number :
- 173537670
- Full Text :
- https://doi.org/10.37689/acta-ape/2023AO007711