| Entry Date | 2025-01-13 |
| Source | Rajkomar, Alvin, Eyal Oren, Kai Chen, Andrew M. Dai, Nissan Hajaj, Michaela Hardt, Peter J. Liu, et al. ‘Scalable and Accurate Deep Learning with Electronic Health Records’. Npj Digital Medicine 1, no. 1 (8 May 2018): 1–10 |
| Link | Link |
| Source Type | Empirical study |
| Domain | Systems |
| Subdomain1 | Electronic Healh Record |
| Subdomain2 | Artificial intelligence |
| Key Points | A large and detailed study showing the power of artificial intelligence to accurately predict diagnosis, mortality, length of stay and readmission rates as shown by high AUC-ROC scores including an impressive figure of 0.90 for diagnosis |
| Citns | 2,505 |