AI-driven visualization tool for analyzing data and predicting drug-resistant outbreaks

被引：0
|
作者：
Takefuji, Yoshiyasu [1 ]
机构：
[1] Musashino Univ, Fac Data Sci, 3-3-3 Ariake Koto Ku, Tokyo 1358181, Japan
来源：
DRUG RESISTANCE UPDATES | 2025年 / 78卷
关键词：
Outbreak visualization; Pathogen and serotype; Generative AI; CDC dataset;
D O I：
10.1016/j.drup.2024.101174
中图分类号：
R9 [药学];
学科分类号：
1007 ;
摘要：
A tool was developed to identify potential disease outbreaks using pathogen and serotype data. By analyzing isolate numbers and comparing them to a two-year average, the tool highlights anomalies suggestive of outbreaks. When applied to Salmonella data, it revealed potential outbreaks related to specific serotypes.
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页数：3
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