# Neural Fuzzy Hybrid Rule-Based Inference System with Test Cases for Prediction of Heart Attack Probability

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/neural-fuzzy-hybrid-rule-based-inference-system-with-test-cases-for-prediction/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rahul Jha,Santosh Kumar Henge,Sanjeev Kumar Mandal,Amit Sharma,Supriya Sharma,Ashok Sharma,Afework Aemro Berhanu |
| Citations | 10 |
| DOI | 10.1155/2022/3414877 |
| Fields | Computer Science,Health Professions |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://downloads.hindawi.com/journals/mpe/2022/3414877.pdf |
| OpenAlex ID | https://openalex.org/W4297982933 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Santosh Kumar Henge](https://scholariq.org/researchers/santosh-kumar-henge/)

## 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/)
- [Currency Recognition and Detection](https://scholariq.org/topics/currency-recognition-and-detection/)
- [Imbalanced Data Classification Techniques](https://scholariq.org/topics/imbalanced-data-classification-techniques/)

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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.