# SPOSDS: A smart Polycystic Ovary Syndrome diagnostic system using machine learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/sposds-a-smart-polycystic-ovary-syndrome-diagnostic-system-using-machine/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shamik Tiwari,Lalit Kane,Deepika Koundal,Anurag Jain,Adi Alhudhaif,Kemal Polat,Atef Zaguia,Fayadh Alenezi,Sara A. Althubiti |
| Citations | 113 |
| DOI | 10.1016/j.eswa.2022.117592 |
| Fields | Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4280561982 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Fayadh Alenezi](https://scholariq.org/researchers/fayadh-alenezi/)

## Paper journal

- [Expert Systems with Applications](https://scholariq.org/journals/expert-systems-with-applications/)

## Paper primary topic

- [Ovarian function and disorders](https://scholariq.org/topics/ovarian-function-and-disorders/)

## Paper topics

- [Ovarian function and disorders](https://scholariq.org/topics/ovarian-function-and-disorders/)

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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.