Stroke Deaths Profile and Its Subtypes in Brazil: Analysis Using Machine Learning
The decision tree analysis identified the strongest factors distinguishing IS from HS, highlighting variables involved in each subtype of stroke-related death that can be recognized in clinical practice. These variables may also support the redistribution of deaths initially classified as unspecified stroke.
Authors
- Glenda Corrêa Borges de Lacerda (ORCID: https://orcid.org/0000-0003-0776-0769)
- Paulo Henrique Godoy (ORCID: https://orcid.org/0000-0003-0057-7363)
- Letícia Martins Raposo (ORCID: https://orcid.org/0000-0003-0613-5582)
- Alessandro Rocha Milan de Souza (ORCID: https://orcid.org/0000-0002-0203-6395)
Institutions
- Universidade Federal do Estado do Rio de Janeiro (BR)
Publication Details
- Journal
- Global Heart
- Published
- 2025-10-03
- DOI
- https://doi.org/10.5334/gh.1476
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00