Temporal data mining.

Abstract:

:Large-scale clinical databases provide a detailed perspective on patient phenotype in disease and the characteristics of health care processes. Important information is often contained in the relationships between the values and timestamps of sequences of clinical data. The analysis of clinical time sequence data across entire patient populations may reveal data patterns that enable a more precise understanding of disease presentation, progression, and response to therapy, and thus could be of great value for clinical and translational research. Recent work suggests that the combination of temporal data mining methods with techniques from artificial intelligence research on knowledge-based temporal abstraction may enable the mining of clinically relevant temporal features from these previously problematic general clinical data.

journal_name

Clin Lab Med

authors

Post AR,Harrison JH Jr

doi

10.1016/j.cll.2007.10.005

subject

Has Abstract

pub_date

2008-03-01 00:00:00

pages

83-100, vii

issue

1

eissn

0272-2712

issn

1557-9832

pii

S0272-2712(07)00114-X

journal_volume

28

pub_type

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