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Conceptual Design and Prototyping for a Primate Health History Knowledge Model.
Zhao, Martin Q; Maldonado, Elizabeth; Kensler, Terry B; Kohn, Luci A P; Guatelli-Steinberg, Debbie; Wang, Qian.
Afiliación
  • Zhao MQ; Department of Computer Science, Mercer University, Macon, GA.
  • Maldonado E; Caribbean Primate Research Center, University of Puerto Rico Medical Sciences Campus, San Juan, PR.
  • Kensler TB; Caribbean Primate Research Center, University of Puerto Rico Medical Sciences Campus, San Juan, PR.
  • Kohn LAP; Department of Biological Sciences, Southern Illinois University Edwardsville, Edwardsville, IL.
  • Guatelli-Steinberg D; Department of Anthropology, The Ohio State University, Columbus, OH.
  • Wang Q; Department of Biomedical Sciences, Texas A&M University College of Dentistry, Dallas, TX.
Adv Comput Vis Comput Biol (2020) ; 2021: 509-520, 2021.
Article en En | MEDLINE | ID: mdl-35441181
Primate models are important for understanding human conditions, especially in studies of ageing, pathology, adaptation, and evolution. However, how to integrate data from multiple disciplines and render them compatible with each other for datamining and in-depth study is always challenging. In a long-term project, we have started a collaborative research endeavor to examine the health history of a free-ranging rhesus macaque colony at Cayo Santiago, and build a knowledge model for anthropological and biomedical/translational studies of the effects of environment and genetics on bone development, aging, and pathologies. This paper discusses the conceptual design as well as the prototyping of this model and related graphical user interfaces, and how these will help future scientific queries and studies.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Adv Comput Vis Comput Biol (2020) Año: 2021 Tipo del documento: Article Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Adv Comput Vis Comput Biol (2020) Año: 2021 Tipo del documento: Article Pais de publicación: Suiza