Comprehensible evaluation of prognostic factors and prediction of wound healing
نویسندگان
چکیده
منابع مشابه
Comprehensible evaluation of prognostic factors and prediction of wound healing
We analyzed the data of a controlled clinical study of the chronic wound healing acceleration as a result of electrical stimulation. The study involved a conventional conservative treatment, sham treatment, biphasic pulsed current, and direct current electrical stimulation. Data was collected over 10 years and suffices for an analysis with machine learning methods. So far, only a limited number...
متن کاملPrognostic factors, prediction of chronic wound healing and electrical stimulation
The aim of the study was to determine the effects of wound, patient and treatment attributes on wound healing rate and to propose a system for wound healing rate prediction. Predicting the wound healing rate from initial wound, patient and treatment data collected in our database of 300 chronic wounds was not possible. After considering weekly follow-ups, we determined that the best prognostic ...
متن کاملEvaluation of Prognostic Factors and Prediction of Chronic Wound Healing Rate by Machine Learning Tools
In more than a decade of clinical use of electrical stimulation to accelerate the chronic wound healing each patient and wound were registered and a wound healing process was weekly followed. The controlled study involved a conventional conservative treatment, sham treatment, biphasic pulsed current, and direct current electrical stimulation. A quantity of available data suffices for an analysi...
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چکیده ندارد.
15 صفحه اولEvaluation of the efficacy of Quince mucilage on wound healing
Background and aim: Improvement of wound healing in normal subjects and in chronic ulcers has been always desired. The availablity and acceptability of herbal medicine led us to study the effect of topical 10% mucilage of quince seed in human skin.Materials and Methods: This double-blind clinical trial has been conducted on 34 patients referring to Imam Hospital, clinic...
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ژورنال
عنوان ژورنال: Artificial Intelligence in Medicine
سال: 2003
ISSN: 0933-3657
DOI: 10.1016/s0933-3657(03)00044-7