Machine Learning Clustering Algorithm Analysis of Dementia and Acute Ischemic Stroke in 53,000 Patients (P5-3.006)
We aim to identify patient groups with unique comorbidity profiles in the 2015–2019 National Inpatient Sample (NIS), and assess the contributions of these profiles to mortality, discharge disposition, and length-of-stay in the sample of patients with dementia and acute ischemic stroke (AIS).
Authors
- Rafay A. Khan (ORCID: https://orcid.org/0000-0002-6146-5800)
- Aryan Malhotra
- Adam Kiss (ORCID: https://orcid.org/0000-0001-7442-4250)
- Fawaz Al‐Mufti (ORCID: https://orcid.org/0000-0003-4461-7005)
- Mateusz Faltyn (ORCID: https://orcid.org/0000-0002-7276-3029)
- Hao Yu (ORCID: https://orcid.org/0000-0002-2432-4662)
Institutions
- Westchester Medical Center (US)
- New York Medical College (US)
Publication Details
- Journal
- Neurology
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1212/wnl.0000000000212663
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00