Chronic wound is an important national healthcare problem, compounded by the fact that patients with chronic diseases such as diabetes are always vulnerable to develop chronic wounds. Wound care research has two strands: clinical and computational. On the clinical side, research has been focusing on how to effectively treat wounds. This includes measuring wounds, tracking their progression with time, and assessing their health. On the computational side, little has been done to treat a wound as an engineering system that needs to be modeled and analyzed with the ultimate goal of predicting the progress of wound healing and determining the factors that influence wound healing.
Using 3D Modeling and Neural Networks to Predict Time-to-Heal for Chronic, Nonhealing Wounds
Manuscript received September 19, 2013; final manuscript received September 30, 2013; published online December 5, 2013. Editor: Gerald E. Miller.
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Chin, J. S., Zeid, I., and Kamarthi, S. (December 5, 2013). "Using 3D Modeling and Neural Networks to Predict Time-to-Heal for Chronic, Nonhealing Wounds." ASME. J. Med. Devices. December 2013; 7(4): 040902. https://doi.org/10.1115/1.4025631
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