文档介绍：Clin Lab Med 28 (2008) xv
Dedication
Robert E. Reynolds, MD, DrPH
This issue is dedicated to Robert E. Reynolds, MD, DrPH, Professor of
Internal Medicine and Public Health Sciences, and Vice President and CIO
of the University of Virginia from 1999–2006. Dr. Reynolds created and
nurtured the UVa Clinical Data Repository, which is now a major inte-
grated data resource for clinical research, and his vision and warm collegi-
ality continue to inspire both students and faculty.
James H. Harrison, Jr, MD, PhD
Departments of Public Health Sciences and Pathology
University of Virginia
Hospital plex 3181
PO Box 800717
Charlottesville, VA 22908-0717, USA
E-mail address: james.******@
0272-2712/08/$ - see front matter Ó 2008 Elsevier Inc. All rights reserved.
doi:. labmed.
Clin Lab Med 28 (2008) xi–xiii
Preface
James H. Harrison, Jr, MD, PhD
Guest Editor
Clinical laboratory data are among the most detailed, objective, reliable,
and useful measures of patient characteristics contained in the medical
record. Numerous studies over the past 30 years based on laboratory data
alone and in aggregate with other clinical and experimental data have
revealed correlative and predictive patterns in laboratory data that have
improved our understanding of disease, therapeutic response, and health care
delivery processes. Additional useful patterns undoubtedly remain hidden in
the data, awaiting discovery by creative, prepared minds using effective
analysis techniques.
Some pathologists have recognized this opportunity; over the past 10
years there have been periodic reports in the literature that have used auto-
mated pattern recognition and modeling techniques collectively termed
‘‘data mining’’ to identify patterns in laboratory data for various purposes.
Unfortunately, these efforts have been relatively few, whereas the use of data
mining techniques in other medical domains has increased dramatically