Artificial intelligence can improve decision-making in infection management
Bibliographic Data
| ID | 4658428 |
|---|---|
| Authors | Timothy M Rawson (0000-0002-2630-9722, National Institute for Health and Care Research), Raheelah Ahmad (0000-0002-4294-7142, National Institute for Health and Care Research), Christofer Toumazou (0000-0001-8773-7360, National Institute for Health and Care Research), Pantelis Georgiou (0000-0003-2476-3857, Imperial College London), Alison H Holmes (0000-0001-5554-5743, Imperial College Healthcare NHS Trust, corresponding author) |
| Year | 2019 |
| Volume | 3 |
| Issue | 6 |
| Pages | 543-545 |
| Publication date | 2019-03-25 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Nature Human Behaviour (JOURNAL) |
| Journal identifiers | ISSN: 2397-3374 • E-ISSN: 2397-3374 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1038/s41562-019-0583-9 |
| PMID | 31190023 |
| OpenAlex | W2924232516 |
| Language | EN |
| References cited | 7 |
Biology · Business · Data science · Decision support system · Knowledge management · Management science · Antibiotic Use and Resistance · Bacterial Identification and Susceptibility Testing · Biosimilars and Bioanalytical Methods · Computer Science · Engineering · Artificial Intelligence · Ecology
| Citation velocity | historical |
|---|---|
| Highly cited | No |