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Medical Informatics = Medecine Et Informatique
|
July 1, 1984
A model of training needs in health information science
J P Glaser, L C Gatewood, J C Anderson
Annals of Medicine
|
June 1, 1989
Using serum cholesterol to identify high risk and stimulate behavior change: will it work?
T E Kottke, L C Gatewood, H A Park
Behavioral Science
|
January 1, 1970
Modeling blood glucose dynamics
L C Gatewood, E Ackerman, J W Rosevear, et al.
Journal of Clinical Epidemiology
|
January 1, 1988
Preventing heart disease: is treating the high risk sufficient?
T E Kottke, L C Gatewood, S C Wu, et al.
Medical Informatics = Medecine Et Informatique
|
April 1, 1981
Computer-aided real-time acquisition of physiological data: technical design and selection constraints
S W Huntley, S M Finkelstein, L C Gatewood, et al.
International Journal of Bio-Medical Computing
|
July 1, 1971
Simulation of models of enteric virus epidemics
L C Gatewood, E Ackerman, W Ewy, et al.
Studies in Health Technology and Informatics
|
August 8, 2013
Traumatic brain injury rehabilitation: analysis of common data elements
Michael J Grove, Greg J Lamberty, Lael C Gatewood, et al.
Statistics in Medicine
|
January 15, 1994
Network analytic methods for epidemiological risk assessment
M Altmann, B C Wee, K Willard, et al.
Computers in Biology and Medicine
|
February 1, 1972
A generalized stochastic model for simulation of epidemics in a heterogeneous population (model VI)
W Ewy, E Ackerman, L C Gatewood, et al.
Journal of the American Geriatrics Society
|
December 15, 2010
Patterns of tooth loss in older adults with and without dementia: a retrospective study based on a Minnesota cohort
Xi Chen, Stephen K Shuman, James S Hodges, et al.
Page
of 4
Search research articles
Search
Showing results (11-20 of 39) with videos related to
Sort By:
Page
of 4
Medical Informatics = Medecine Et Informatique
|
July 1, 1984
A model of training needs in health information science
J P Glaser, L C Gatewood, J C Anderson
Annals of Medicine
|
June 1, 1989
Using serum cholesterol to identify high risk and stimulate behavior change: will it work?
T E Kottke, L C Gatewood, H A Park
Behavioral Science
|
January 1, 1970
Modeling blood glucose dynamics
L C Gatewood, E Ackerman, J W Rosevear, et al.
Journal of Clinical Epidemiology
|
January 1, 1988
Preventing heart disease: is treating the high risk sufficient?
T E Kottke, L C Gatewood, S C Wu, et al.
Medical Informatics = Medecine Et Informatique
|
April 1, 1981
Computer-aided real-time acquisition of physiological data: technical design and selection constraints
S W Huntley, S M Finkelstein, L C Gatewood, et al.
International Journal of Bio-Medical Computing
|
July 1, 1971
Simulation of models of enteric virus epidemics
L C Gatewood, E Ackerman, W Ewy, et al.
Studies in Health Technology and Informatics
|
August 8, 2013
Traumatic brain injury rehabilitation: analysis of common data elements
Michael J Grove, Greg J Lamberty, Lael C Gatewood, et al.
Statistics in Medicine
|
January 15, 1994
Network analytic methods for epidemiological risk assessment
M Altmann, B C Wee, K Willard, et al.
Computers in Biology and Medicine
|
February 1, 1972
A generalized stochastic model for simulation of epidemics in a heterogeneous population (model VI)
W Ewy, E Ackerman, L C Gatewood, et al.
Journal of the American Geriatrics Society
|
December 15, 2010
Patterns of tooth loss in older adults with and without dementia: a retrospective study based on a Minnesota cohort
Xi Chen, Stephen K Shuman, James S Hodges, et al.
Page
of 4