Machine-learning-assisted selection of antibiotic prescription

被引：12
|
作者：
Didelot, Xavier [1 ,2 ]
Pouwels, Koen B. [3 ]
机构：
[1] Univ Warwick, Sch Life Sci, Warwick, England
[2] Univ Warwick, Dept Stat, Warwick, England
[3] Univ Oxford, Nuffield Dept Populat Hlth, Hlth Econ Res Ctr, Oxford, England
来源：
NATURE MEDICINE | 2019年 / 25卷 / 07期
基金：
英国医学研究理事会;
关键词：
MECHANISMS;
D O I：
10.1038/s41591-019-0517-0
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
Machine learning can use patients' demographic information and previous clinical history to help physicians select the antibiotics most likely to successfully treat urinary tract infections, despite growing levels of resistance.
引用
收藏
页码：1033 / 1034
页数：3
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