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With the continuous follow-up visits to patients, the aim is not only to promote their life quality and survival time, reduce the family burden and society burden, but also is beneficial to conduct clinical teaching and research activities. We developed a liver transplantation follow-up management system with personalized management applications according to the characteristics of liver transplantation...
In traditional Chinese medicine (TCM), it is frequently found that more than one syndrome of a patient are recognized in clinical practice, which has its own symptoms and signs. While, most algorithms are used to solve issues of syndrome diagnosis that only focus on one syndrome. Therefore, we proposed a hybrid intelligent syndrome diagnosis (HISD) model. Methods. The HTSD model combined feature selection...
In traditional medical diagnosis, the aim of using classification learning models is for high diagnosis accuracy. However, accurate class probability estimate is more desirable than prediction accuracy in practical medical diagnosis application. Although several probability estimation models based on decision trees have been adopted in many other areas, they both have an obstacle to achieving accurate...
The collection and process in four diagnostic information of traditional Chinese medicine (TCM) are unsure and fuzzy. So it badly affects the veracity of diagnostic conclusion. This paper, based on former research work and eight principal theory of TCM, develops an intelligent ensemble TCM Eight Principal diagnosis system. Firstly, the acquisition of objective-oriented and quantitative four diagnostic...
This article uses the advanced wavelet theory to perform multi-criteria transformation on the medical CT image wavelet in order to obtain directive components. The improved wavelet threshold value law is combined with the wavelet homomorphism filter corresponding to the obtained directive components to remove noise and enhance image effect, finally resulting in the multi-scale (level) enhanced images...
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