跳至主導覽
跳至搜尋
跳過主要內容
國立陽明交通大學研發優勢分析平台 首頁
English
中文
首頁
人員
單位
研究成果
計畫
獎項
活動
貴重儀器
影響
按專業知識、姓名或所屬機構搜尋
Improving dengue fever predictions in Taiwan based on feature selection and random forests
Chao Yang Kuo, Wei Wen Yang,
Emily Chia Yu Su
*
*
此作品的通信作者
生物醫學資訊研究所
研究成果
:
Article
›
同行評審
5
引文 斯高帕斯(Scopus)
總覽
指紋
指紋
深入研究「Improving dengue fever predictions in Taiwan based on feature selection and random forests」主題。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Keyphrases
Taiwan
100%
Feature Selection
100%
Random Forest
100%
Dengue Fever
100%
Dengue Prediction
100%
Selection Forest
100%
Air Quality Index
80%
Prediction Model
40%
Public Health
20%
Machine Learning Algorithms
20%
Aerodynamic Diameter
20%
Open Data
20%
Early Warning System
20%
Particulate Matter
20%
Vector Index
20%
Dengue
20%
Tropical Area
20%
Subtropical Area
20%
Meteorological Factors
20%
Vector-borne Disease
20%
Meteorological Records
20%
Earth and Planetary Sciences
Taiwan
100%
Air Quality
100%
Atmospheric Aerosol
25%
Machine Learning
25%
Meteorological Factors
25%
Nutrition Policy
25%
Aerodynamics
25%
Immunology and Microbiology
Dengue Fever
100%
Random Forest
100%
Feature Extraction
100%
Particulate Matter
12%
Medicine and Dentistry
Dengue Fever
100%
Feature Extraction
100%
Public Health
12%
Atmospheric Aerosol
12%
Vector Borne Disease
12%
Material Science
Particulate Matter
100%
Food Science
Nutrition Policy
100%