Detecting Overlapping Outbreaks of Influenza
نویسندگان
چکیده
منابع مشابه
Detecting Overlapping Outbreaks of Influenza
Introduction Influenza is a contagious disease that causes epidemics in many parts of the world. The World Health Organization estimates that influenza causes three to five million severe illnesses each year and 250,000-500,000 deaths [1]. Predicting and characterizing outbreaks of influenza is an important public health problem and significant progress has been made in predicting single outbre...
متن کاملDetecting influenza outbreaks by analyzing Twitter messages
We analyze over 500 million Twitter messages from an eight month period and find that tracking a small number of flu-related keywords allows us to forecast future influenza rates with high accuracy, obtaining a 95% correlation with national health statistics. We then analyze the robustness of this approach to spurious keyword matches, and we propose a document classification component to filter...
متن کاملDetecting Overlapping Communities in Social Networks using Deep Learning
In network analysis, a community is typically considered of as a group of nodes with a great density of edges among themselves and a low density of edges relative to other network parts. Detecting a community structure is important in any network analysis task, especially for revealing patterns between specified nodes. There is a variety of approaches presented in the literature for overlapping...
متن کاملDetecting overlapping use cases
To deal with the complexity of large information systems, the divide-and-conquer policy is usually adopted to capture requirements from a large number of stakeholders: obtain requirements from different stakeholders, respectively, and then put them together to form a full requirement specification. One of the problems induced by the policy is overlapping requirements. A use case driven approach...
متن کاملDetecting Overlapping Link Communities
We propose an algorithm for detecting communities of links in networks which uses local information, is based on a new evaluation function, and allows for pervasive overlaps of communities. The complexity of the clustering task requires the application of a memetic algorithm that combines probabilistic evolutionary strategies with deterministic local searches. In Part 2 we will present results ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Online Journal of Public Health Informatics
سال: 2017
ISSN: 1947-2579
DOI: 10.5210/ojphi.v9i1.7592