Temporal Data Mining in Medicine and Bioinformatics

In this chapter, we summarize important recent contributions in the field of temporal data mining with applications to medical data. Many of these techniques, however, can be applied to other types of data as well. Temporal data mining in medicine has many important applications, such as disease det...

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Bibliographic Details
Published inTemporal Data Mining pp. 223 - 278
Main Author Mitsa, Theophano
Format Book Chapter
LanguageEnglish
Published United Kingdom Chapman and Hall/CRC 2010
CRC Press LLC
Subjects
Algorithms & data structures
Mathematical & statistical software
Probability & statistics
De-trended Fluctuation Analysis
Fuzzy Clustering
Temporal Data Mining
Temporal Queries
Gene Expression Time Series Data
Surgical Workflow
EHRs
Data Sets
ICA
TAs
ICU Unit
SVM
Gene Expression Profiles
Brier Score
Wavelet Transform
ECG Signal
Gene Expression Data
Time Series
Gene Expression Time Series
Open Source Algorithms
Clustering Algorithm
Beat Classification
Clinical Decision Support System
Online AccessGet full text
ISBN9781420089769
1420089765
DOI10.1201/9781420089776-8

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Summary:In this chapter, we summarize important recent contributions in the field of temporal data mining with applications to medical data. Many of these techniques, however, can be applied to other types of data as well. Temporal data mining in medicine has many important applications, such as disease detection, patient progress evaluation, and workflow optimization.
ISBN:9781420089769
1420089765
DOI:10.1201/9781420089776-8