# IOSA-Enhanced Feature Weighting for Lightweight Cardiovascular Risk Classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/iosa-enhanced-feature-weighting-for-lightweight-cardiovascular-risk/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Deepak Yashwantrao Bhadane,Monika Tripathi Tripathi |
| Citations | 0 |
| DOI | 10.36948/ijfmr.2025.v07i06.62675 |
| Fields | Computer Science,Health Professions,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://www.ijfmr.com/papers/2025/6/62675.pdf |
| OpenAlex ID | https://openalex.org/W4417078700 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Deepak Yashwantrao Bhadane](https://scholariq.org/researchers/deepak-yashwantrao-bhadane/)

## Paper primary topic

- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)

## Paper topics

- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)
- [Machine Learning in Healthcare](https://scholariq.org/topics/machine-learning-in-healthcare/)
- [ECG Monitoring and Analysis](https://scholariq.org/topics/ecg-monitoring-and-analysis/)

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