How to Determine the Early Warning Threshold Value of Meteorological Factors on Influenza through Big Data Analysis and Machine Learning
Joint Authors
Wan, Ming
Ge, Hui
Fan, Debao
Jin, Lizhu
Du, Xuejie
Yang, Xu
Wang, Xiaofeng
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-02
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Infectious diseases are a major health challenge for the worldwide population.
Since their rapid spread can cause great distress to the real world, in addition to taking appropriate measures to curb the spread of infectious diseases in the event of an outbreak, proper prediction and early warning before the outbreak of the threat of infectious diseases can provide an important basis for early and reasonable response by the government health sector, reduce morbidity and mortality, and greatly reduce national losses.
However, if only traditional medical data is involved, it may be too late or too difficult to implement prediction and early warning of an infectious outbreak.
Recently, medical big data has become a research hotspot and has played an increasingly important role in public health, precision medicine, and disease prediction.
In this paper, we focus on exploring a prediction and early warning method for influenza with the help of medical big data.
It is well known that meteorological conditions have an influence on influenza outbreaks.
So, we try to find a way to determine the early warning threshold value of influenza outbreaks through big data analysis concerning meteorological factors.
Results show that, based on analysis of meteorological conditions combined with influenza outbreak history data, the early warning threshold of influenza outbreaks could be established with reasonable high accuracy.
American Psychological Association (APA)
Ge, Hui& Fan, Debao& Wan, Ming& Jin, Lizhu& Wang, Xiaofeng& Du, Xuejie…[et al.]. 2020. How to Determine the Early Warning Threshold Value of Meteorological Factors on Influenza through Big Data Analysis and Machine Learning. Computational and Mathematical Methods in Medicine،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1139636
Modern Language Association (MLA)
Ge, Hui…[et al.]. How to Determine the Early Warning Threshold Value of Meteorological Factors on Influenza through Big Data Analysis and Machine Learning. Computational and Mathematical Methods in Medicine No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1139636
American Medical Association (AMA)
Ge, Hui& Fan, Debao& Wan, Ming& Jin, Lizhu& Wang, Xiaofeng& Du, Xuejie…[et al.]. How to Determine the Early Warning Threshold Value of Meteorological Factors on Influenza through Big Data Analysis and Machine Learning. Computational and Mathematical Methods in Medicine. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1139636
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1139636