# Prediction of Aneurysm Stability Using a Machine Learning Model Based on PyRadiomics-Derived Morphological Features

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/prediction-of-aneurysm-stability-using-a-machine-learning-model-based-on/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Qinglin Liu,Peng Jiang,Yuhua Jiang,Huijian Ge,ShaoLin Li,Hengwei Jin,YouXiang Li |
| Citations | 161 |
| DOI | 10.1161/strokeaha.119.025777 |
| Fields | Medicine |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://www.ahajournals.org/doi/pdf/10.1161/STROKEAHA.119.025777 |
| OpenAlex ID | https://openalex.org/W2958889713 |
| PMID | 31288671 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Qinglin Liu](https://scholariq.org/researchers/qinglin-liu/)

## Paper primary topic

- [Intracranial Aneurysms: Treatment and Complications](https://scholariq.org/topics/intracranial-aneurysms-treatment-and-complications/)

## Paper topics

- [Intracranial Aneurysms: Treatment and Complications](https://scholariq.org/topics/intracranial-aneurysms-treatment-and-complications/)
- [Aortic aneurysm repair treatments](https://scholariq.org/topics/aortic-aneurysm-repair-treatments/)
- [Cerebrovascular and Carotid Artery Diseases](https://scholariq.org/topics/cerebrovascular-and-carotid-artery-diseases/)

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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.