Epi Archive: automated data collection of notifiable disease data

Epi Archive: automated data collection of notifiable disease data

Introduction Most countries do not report national notifiable disease data in a machine-readable format. Data are often in the form of a file that contains text, tables and graphs summarizing weekly or monthly disease counts. This presents a problem when information is needed for more data intensive approaches to epidemiology, biosurveillance and public health as exemplified by the Biosurveilla...

Data Mining for Automated GIS Data Collection

The automatic analysis of spatial data sets presumes to have techniques for interpretation and structure recognition. Such procedures are especially needed in GIS and digital cartography in order to automate the time-consuming data update and to generate multi-scale representations of the data. In order to infer higher level information from a more detailed data set, coherent, homogeneous struc...

Automated detection of coronavirus disease (COVID-19) by using data-mining techniques: a brief report

Background: The clinical field has vast sick data that has not been analyzed. Discovering a way to analyze this raw data and turn it into an information treasure can save many lives. Using data mining methods is an efficient way to analyze this large amount of raw data. It can predict the future with accurate knowledge of the past, providing new insights into disease diagnosis and prevention. S...

McCowan Automated Collection of Cancer Stage Data

Cancer staging provides a basis for planning clinical management, but also allows for meaningful analysis of cancer outcomes and evaluation of cancer care services. Despite this, stage data in cancer registries is often incomplete, inaccurate or simply not collected. This article describes a prototype software system (Cancer Stage Interpretation System, CSIS) which automatically extracts cancer...

Automated collection and analysis of phonological data