Open AccessDetecting Outbreaks in Time-Series Data with RecentMax
Author(s) -
Dave Carter,
Joel Martin
Publication year - 2015
Publication title -
online journal of public health informatics
Language(s) - English
Resource type - Journals
ISSN - 1947-2579
DOI - 10.5210/ojphi.v7i1.5779
Subject(s) - outbreak , computer science , series (stratigraphy) , time series , data mining , disease surveillance , virology , disease , medicine , machine learning , biology , pathology , paleontology
The RecentMax algorithm seeks to detect typical outbreaks of transmissible disease (particularly influenza-like illness) in time-series data better than existing algorithms like CDC EARS C1/C2/C3.Peer reviewed: YesNRC publication: Ye
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom