Bibliographic Details
| Title: |
Machine learning outcome prediction using stress perfusion cardiac magnetic resonance reports and natural language processing of electronic health records |
| Authors: |
Ebraham Alskaf, Simon M. Frey, Cian M. Scannell, Avan Suinesiaputra, Dijana Vilic, Vlad Dinu, Pier Giorgio Masci, Divaka Perera, Alistair Young, Amedeo Chiribiri |
| Source: |
Informatics in Medicine Unlocked, Vol 44, Iss , Pp 101418- (2024) |
| Publisher Information: |
Elsevier, 2024. |
| Publication Year: |
2024 |
| Collection: |
LCC:Computer applications to medicine. Medical informatics |
| Subject Terms: |
Machine learning, Coronary artery disease, Cardiac magnetic resonance, Electronic health records, Outcome prediction, Natural language processing, Computer applications to medicine. Medical informatics, R858-859.7 |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2352-9148 |
| Relation: |
http://www.sciencedirect.com/science/article/pii/S2352914823002642; https://doaj.org/toc/2352-9148 |
| DOI: |
10.1016/j.imu.2023.101418 |
| Access URL: |
https://doaj.org/article/4a26c01ee1e54fd9bb130535496fc171 |
| Accession Number: |
edsdoj.4a26c01ee1e54fd9bb130535496fc171 |
| Database: |
Directory of Open Access Journals |
