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Using n-Grams for Syndromic Surveillance in a Turkish Emergency Department without English Translation: A Feasibility Study
Sylvia Halasz, Philip Brown, Cem Oktay, Arif Alper Cevik, Isa Kilicaslan, Colin Goodall, Dennis Cochrane, Tom Fowler, Guy Jacobson, Simon Tse, John Allegra
Biomedical Informatics Insights,
2013.
[PDF]
[BIB]
Copyright
The definitive version was published in 2012 . , Issue 2013:6, 2013-04-25
{Introduction: Syndromic surveillance is designed for early detection of disease outbreaks. An important data source for syndromic surveillance is free-text chief complaints (CCs), which are generally recorded in the local language. For automated syndromic surveillance, CCs must be classified into predefined syndromic categories. The n-gram classifier is created by using text fragments to measure associations between chief complaints (CC) and a syndromic grouping of ICD codes.}
Methods, Systems, And Computer Program Products For Database Table Aggregation,
Tue Apr 23 17:26:03 EDT 2013
Database table aggregation is implemented by a method that includes encoding first and second components via a waveform definition, the first and second components specifying criteria for aggregating data. The method also includes generating a complex waveform representing the components in a pattern corresponding to the waveform definition and criteria, which spans a first axis indicative of a time period for aggregating the data. The method further includes providing a byte count for aggregated data stored in a first table defined by the criteria, aggregating the data for the time period, and creating a second table for overflow data when the count is exceeded. The method also includes updating the complex waveform to reflect results of the aggregation that includes generating a waveform representing the second table along a second axis depicted at a location corresponding to a time in which the data aggregation for the first table was initiated.
Methods, Systems, And Computer Program Products For Database Table Aggregation,
Tue Sep 25 16:11:53 EDT 2012
Methods, systems, and computer program products for database table aggregation are provided. A method includes encoding first and second components via a waveform definition, the first and second components specifying first and second criteria, respectively, for aggregating data. The method includes generating a complex periodic aggregation waveform (CPAW) having variable-sized square waves representing the components in a repeating pattern corresponding to the definition and the criteria, and which spans a first axis. The method includes providing a maximum byte count for aggregated data stored in a table defined by the first and/or second criteria, aggregating the data in accordance with the criteria, and creating a new table for overflow of data determined for the table when the maximum byte count is exceeded. The method includes updating the CPAW with results of the aggregation and generating a waveform representing the new table along a second axis.
Forecasting Outcomes Based On The Analysis Of Text Strings,
Tue Feb 02 15:50:19 EST 2010
A method and a processing device are provided for forecasting whether a record of data for an individual is associated with an outcome. Whether an n-gram associated with one of a group of predictors matches an n-gram included in the record of data is determined. When the n-gram included with the one of the group of predictors matches the n-gram in the record of data, a prediction is made as to whether the record of data is associated with the outcome based on a value assigned to the one of the group of predictors.
Forecasting A Volume Associated With An Outcome Based On Analysis Of Text Strings,
Tue Feb 17 15:38:36 EST 2009
A method and a device are provided for forecasting a volume associated with an outcome. A determination is made with respect to whether n-grams associated with a group of predictors matches n-grams included in records of data. A probability is estimated with respect to each of the records of data being associated with the outcome based on a value assigned to a respective one of the group of predictors when the n-gram associated with the respective one of the group of predictors is determined to match the n-gram included in a respective one of the records of data. An estimate of the volume associated with the outcome is calculated based on the estimated probabilities.
Forecasting outcomes based on analysis of text strings,
Tue Jan 29 18:12:35 EST 2008
A method and a processing device are provided for forecasting whether a record of data for an individual is associated with an outcome. Whether an n-gram associated with one of a group of predictors matches an n-gram included in the record of data is determined. When the n-gram included with the one of the group of predictors matches the n-gram in the record of data, a prediction is made as to whether the record of data is associated with the outcome based on a value assigned to the one of the group of predictors.
