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Comparison of machine learning methods for estimating case fatality ratios: An Ebola outbreak simulation study (vol 16, e0257005, 2021)
被引:0
|
作者
:
Forna, Alpha
论文数:
0
引用数:
0
h-index:
0
机构:
Imperial Coll London, MRC Ctr Global Infect Dis Anal, Dept Infect Dis Epidemiol, London, England
Imperial Coll London, MRC Ctr Global Infect Dis Anal, Dept Infect Dis Epidemiol, London, England
Forna, Alpha
[
1
]
Dorigatti, I
论文数:
0
引用数:
0
h-index:
0
机构:
Imperial Coll London, MRC Ctr Global Infect Dis Anal, Dept Infect Dis Epidemiol, London, England
Imperial Coll London, MRC Ctr Global Infect Dis Anal, Dept Infect Dis Epidemiol, London, England
Dorigatti, I
[
1
]
Nouvellet, P.
论文数:
0
引用数:
0
h-index:
0
机构:
Imperial Coll London, MRC Ctr Global Infect Dis Anal, Dept Infect Dis Epidemiol, London, England
Imperial Coll London, MRC Ctr Global Infect Dis Anal, Dept Infect Dis Epidemiol, London, England
Nouvellet, P.
[
1
]
Donnelly, C. A.
论文数:
0
引用数:
0
h-index:
0
机构:
Imperial Coll London, MRC Ctr Global Infect Dis Anal, Dept Infect Dis Epidemiol, London, England
Imperial Coll London, MRC Ctr Global Infect Dis Anal, Dept Infect Dis Epidemiol, London, England
Donnelly, C. A.
[
1
]
机构
:
[1]
Imperial Coll London, MRC Ctr Global Infect Dis Anal, Dept Infect Dis Epidemiol, London, England
来源
:
PLOS ONE
|
2024年
/ 19卷
/ 12期
基金
:
英国惠康基金;
英国医学研究理事会;
关键词
:
D O I
:
10.1371/journal.pone.0316602
中图分类号
:
O [数理科学和化学];
P [天文学、地球科学];
Q [生物科学];
N [自然科学总论];
学科分类号
:
07 ;
0710 ;
09 ;
摘要
:
引用
收藏
页数:1
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