# Diagnosis of common headaches using hybrid expert-based systems

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/diagnosis-of-common-headaches-using-hybrid-expert-based-systems/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Monire Khayamnia,Mohammadreza Yazdchi,Aghile Heidari,Mohsen Foroughipour |
| Citations | 21 |
| DOI | 10.4103/jmss.jmss_47_18 |
| Fields | Health Professions,Medicine |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://doi.org/10.4103/jmss.jmss_47_18 |
| OpenAlex ID | https://openalex.org/W2971142451 |
| PMID | 31544057 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Mohsen Foroughipour](https://scholariq.org/researchers/mohsen-foroughipour/)

## Paper primary topic

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

## Paper topics

- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)
- [Artificial Intelligence in Healthcare](https://scholariq.org/topics/artificial-intelligence-in-healthcare/)
- [Migraine and Headache Studies](https://scholariq.org/topics/migraine-and-headache-studies/)

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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.