# Predicting stroke occurrences: a stacked machine learning approach with feature selection and data preprocessing

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/predicting-stroke-occurrences-a-stacked-machine-learning-approach-with-feature/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Pritam Chakraborty,Anjan Bandyopadhyay,Preeti Padma Sahu,Aniket Burman,Saurav Mallik,Najah Alsubaie,Mohamed Abbas,Mohammed S. Alqahtani,Ben Othman Soufiene |
| Citations | 28 |
| DOI | 10.1186/s12859-024-05866-8 |
| Fields | Health Professions,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-024-05866-8 |
| OpenAlex ID | https://openalex.org/W4403423842 |
| PMID | 39407112 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Anjan Bandyopadhyay](https://scholariq.org/researchers/anjan-bandyopadhyay/)

## Paper primary topic

- [Acute Ischemic Stroke Management](https://scholariq.org/topics/acute-ischemic-stroke-management/)

## Paper topics

- [Acute Ischemic Stroke Management](https://scholariq.org/topics/acute-ischemic-stroke-management/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)
- [Stroke Rehabilitation and Recovery](https://scholariq.org/topics/stroke-rehabilitation-and-recovery/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.