TY - JOUR
T1 - Techniques for knowledge discovery in existing biomedical databases
T2 - Estimation of individual aging effects in cognition in relation to dementia
AU - Mitnitski, Arnold B.
AU - Mogilner, Alexander J.
AU - Graham, Janice E.
AU - Rockwood, Kenneth
PY - 2003/2/1
Y1 - 2003/2/1
N2 - New interest is being expressed in the systematic application of modeling techniques to existing datasets. Under the rubric of Knowledge Discovery in Databases (KDD) large databases are being exploited for commercial and scientific purposes. This article reviews the development and applications of KDD techniques to dementia, using the longitudinal Canadian Study of Health and Aging dataset. KDD has demonstrated usefulness at the group level. For example, as in the course of functional impairment between Alzheimer's disease and no cognitive impairment suggest damage control-protection mechanisms for the former compared with noncompensated random accumulation of deficits for the latter. At the individual level, KDD suggests that more precise diagnosis seems possible as well as individual life expectancy prediction. Biomedical databases appear to hold the potential for novel insights when explored by systematic modeling.
AB - New interest is being expressed in the systematic application of modeling techniques to existing datasets. Under the rubric of Knowledge Discovery in Databases (KDD) large databases are being exploited for commercial and scientific purposes. This article reviews the development and applications of KDD techniques to dementia, using the longitudinal Canadian Study of Health and Aging dataset. KDD has demonstrated usefulness at the group level. For example, as in the course of functional impairment between Alzheimer's disease and no cognitive impairment suggest damage control-protection mechanisms for the former compared with noncompensated random accumulation of deficits for the latter. At the individual level, KDD suggests that more precise diagnosis seems possible as well as individual life expectancy prediction. Biomedical databases appear to hold the potential for novel insights when explored by systematic modeling.
UR - http://www.scopus.com/inward/record.url?scp=0037295540&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0037295540&partnerID=8YFLogxK
U2 - 10.1016/S0895-4356(02)00581-4
DO - 10.1016/S0895-4356(02)00581-4
M3 - Article
C2 - 12654405
AN - SCOPUS:0037295540
SN - 0895-4356
VL - 56
SP - 116
EP - 123
JO - Journal of Clinical Epidemiology
JF - Journal of Clinical Epidemiology
IS - 2
ER -
