Prognosis of ischemic stroke predicted by machine learning based on multi-modal MRI radiomics
Bibliographic Data
| ID | 15528675 |
|---|---|
| Authors | Huan Yu (0009-0009-0408-3804, Tang Hospital), Zhenwei Wang (0000-0001-7524-135X, Tang Hospital), Yiqing Sun (0000-0002-3653-5248, Tang Hospital), Wenwei Bo (Tang Hospital), Kai Duan (0000-0003-4497-8062, Tang Hospital), Chunhua Song (0000-0001-6028-5923, Tang Hospital), Yi Hu (0000-0001-5948-9566, Tang Hospital), Jie Zhou (0000-0003-2319-8673, Tang Hospital), Zizhang Mu (Tang Hospital), Ning Wu (0000-0002-6901-5521, Capital Medical University, corresponding author) |
| Year | 2023 |
| Volume | 13 |
| Pages | 1105496-1105496 |
| Publication date | 2023-01-09 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2022.1105496 |
| PMID | 36699499 |
| OpenAlex | W4313826764 |
| Language | EN |
| References cited | 28 |
The ML models based on muti-modal MRI radiomics are of high value for predicting clinical outcomes in acute stroke patients
Cardiology · Ischemia · Ischemic stroke · Machine learning · Magnetic resonance imaging · Modal · Radiology · Radiomics · Stroke (engine · Acute Ischemic Stroke Management · Cerebrovascular and Carotid Artery Diseases · Computer Science · Engineering · Materials Science · Medicine · Radiomics and Machine Learning in Medical Imaging · Artificial Intelligence
| Highly cited | No |
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