Mathematical methods relevant to the study of wound healing.
Mathematical methods relevant to the study of wound healing.
Over recent years there has been a growing interest in the application of mathematical techniques and methods to improve understanding of clinical problems. Mathematical methods permit accurate description and quantification of observations and processes. Wound healing is a clinical problem that needs support in order to improve management and understanding of the mechanisms that may disarrange healing processes. This article attempts to provide an overview of currently available methods that have a direct relevance to the management of lower extremity wounds. Mathematics can provide valuable assistance and insight to clinical understanding, but only if applied correctly. It is hoped that examples of good practice will promote the utilization of this versatile tool.
mathematical modeling methods
220-228
Schley, David
0d9ab113-6fb8-4d48-8c32-0241e41e5570
2002
Schley, David
0d9ab113-6fb8-4d48-8c32-0241e41e5570
Schley, David
(2002)
Mathematical methods relevant to the study of wound healing.
The International Journal of Lower Extremity Wounds, 1 (4), .
(doi:10.1177/1534734602239562).
Abstract
Over recent years there has been a growing interest in the application of mathematical techniques and methods to improve understanding of clinical problems. Mathematical methods permit accurate description and quantification of observations and processes. Wound healing is a clinical problem that needs support in order to improve management and understanding of the mechanisms that may disarrange healing processes. This article attempts to provide an overview of currently available methods that have a direct relevance to the management of lower extremity wounds. Mathematics can provide valuable assistance and insight to clinical understanding, but only if applied correctly. It is hoped that examples of good practice will promote the utilization of this versatile tool.
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Published date: 2002
Keywords:
mathematical modeling methods
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Local EPrints ID: 29286
URI: http://eprints.soton.ac.uk/id/eprint/29286
ISSN: 1534-7346
PURE UUID: 10f4d3af-67ab-4cb9-878d-5eee46bce3b5
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Date deposited: 12 May 2006
Last modified: 15 Mar 2024 07:30
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Author:
David Schley
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