Personalized antibiograms for machine learning driven antibiotic selection
oleh: Conor K. Corbin, Lillian Sung, Arhana Chattopadhyay, Morteza Noshad, Amy Chang, Stanley Deresinksi, Michael Baiocchi, Jonathan H. Chen
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2022-04-01 |
Deskripsi
Corbin et al. train machine learning models on electronic health record data to predict susceptibility of infections to particular antibiotics (personalized antibiograms). Antibiotic selection driven by personalized antibiograms achieves similar coverage rates to those seen in actual clinical practice using fewer broad spectrum antibiotics.