Prediction of stroke-associated hospital-acquired pneumonia: Machine learning approach
This study enhances our understanding of early predictive factors for HAP in stroke patients and underlines the potential of machine learning to improve clinical decision-making and personalized care.
Authors
- Ahmad A. Abujaber (ORCID: https://orcid.org/0000-0002-8704-4991)
- Abdulqadir J. J. Nashwan (ORCID: https://orcid.org/0000-0003-4845-4119)
- Yahia Imam (ORCID: https://orcid.org/0000-0003-4623-733X)
- Said Yaseen (ORCID: https://orcid.org/0009-0004-4563-7694)
- Naveed Akhtar (ORCID: https://orcid.org/0009-0005-6999-9865)
Institutions
- Jordan University of Science and Technology (JO)
- Hamad Medical Corporation (QA)
Publication Details
- Journal
- Journal of Stroke and Cerebrovascular Diseases
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1016/j.jstrokecerebrovasdis.2024.108200
- Citations
- 11
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 4.25
Funders
- Hamad Medical Corporation
- Qatar National Library
- Medical Research Council