Introduction to Integrative Primary Care: The Health-Oriented Clinic
Department of Family Medicine, Odana Atrium Family Medicine Clinic, University of Wisconsin, 5618 Odana Road, Madison, WI 53719, USA.Primary care (Impact Factor: 0.74). 03/2010; 37(1):1-12. DOI: 10.1016/j.pop.2009.09.003
Integrative medicine is healing-oriented medicine that accounts for the whole person (body, mind, and spirit), including all aspects of lifestyle. Integrative medicine emphasizes the therapeutic relationship and makes use of all appropriate therapies, both conventional and alternative. This article describes ways to bring the integrative perspective into primary care practice. Several approaches are described, including some that are routinely used in the authors' practice. Changes in practice philosophy that can (1) help inform primary care redesign, (2) facilitate the creation of patient-centered medical homes, (3) strengthen provider-patient relationships, and (4) enhance patient satisfaction are also provided.
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ABSTRACT: Emphasizes importance of visual image interpretation of satellite based standard false color composite (FCC) images for small areas and describes development of a rule based expert system for application in visual image interpretation of IRS-1B based FCC images, for land use and land cover mapping. The main objective is to develop computer based support for a human photo-interpreter and beginners in the area of FCC photo interpretation. The proposed expert system has been developed using a logic programming approach in the Borland's Turbo-Prolog 2.0 environment. The knowledge base of the system is based on the multilevel classification scheme of United States Geological Surveys (USGS) for land use/cover with due variation for Indian context. This system can make classification at the first level of the above scheme, using the standard FCC (images with band combination 2:3:4:B:G:R) of IRS-1B. The knowledge base of the system has been developed in accordance with syntax of Turbo-Prolog. This system can be used to help photo interpreter and to learn the visual image interpretation skill of FCC. The system has been used to identify land cover on FCC images of an area of Vaishali district of Bihar, India. The result has been found to be satisfactory at the coarse level.SICE 2002. Proceedings of the 41st SICE Annual Conference; 09/2002
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