Temporal Data Mining in Medicine and Bioinformatics

• Published in: Temporal Data Mining pp. 223 - 278
• Main Author: Mitsa, Theophano
• Format: Book Chapter
• Language: English
• 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
• ISBN: 9781420089769; 1420089765
• DOI: 10.1201/9781420089776-8

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.