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Predicting the Flu from Instagram
Oguzhan Gencoglu, Miikka J Ermes
Research output
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Working paper
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Preprint
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Scientific
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Dive into the research topics of 'Predicting the Flu from Instagram'. Together they form a unique fingerprint.
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Keyphrases
Instagram
100%
Correlation Coefficient
66%
Twitter
33%
Predictive Power
33%
Finland
33%
Social Media
33%
Communication Infrastructure
33%
Web-based
33%
Machine Learning Algorithms
33%
Mean Absolute Error
33%
Publicly Available Data
33%
Statistical Significance
33%
Healthcare Professionals
33%
Official Statistics
33%
Deep Convolutional Neural Network (deep CNN)
33%
Hashtag
33%
Visual Content
33%
Forecasting Model
33%
Infectious Diseases
33%
Surveillance System
33%
Infodemiology
33%
Nowcasting
33%
Population-wide
33%
Influenza
33%
Influenza-like Illness
33%
Search Engine Query
33%
Alternative Data Sources
33%
Nowcasting Model
33%
Online Posts
33%
Digital Photographs
33%
Medicine and Dentistry
Photograph
100%
Surveillance System
100%
Infodemiology
100%
Influenza
100%
Infectious Disease
100%
Flu Like Syndrome
100%
Computer Science
Instagram
100%
Data Source
66%
Valuable Source
33%
Search Engine
33%
Predictive Power
33%
Machine Learning Algorithm
33%
Deep Convolutional Neural Networks
33%
Healthcare Professional
33%
Visual Content
33%
Mean Absolute Error
33%
Wider Population
33%
Official Statistic
33%
Digital Photograph
33%
Pharmacology, Toxicology and Pharmaceutical Science
Flu Like Syndrome
100%
Influenza
100%
Diseases
100%
Biochemistry, Genetics and Molecular Biology
Search Engine
100%