ABSTRACT
Objective:To improve the quality and efficiency of pharmaceutical care of clinical pharmacists by standardizing phar-maceutical care process using tracking table design for clinical drug therapy. Methods: The experience and skills of pharmaceutical care performed by clinical pharmacists in endocrinology department were summarized and the tracking table for clinical drug therapy was designed, which could provide information for patients clearly and concisely, and make the process of pharmaceutical care more system-atical. Results:After using the tracking table, clinical pharmacists improved work efficiency significantly. In addition, the average hospitalization, average hospitalization expenses and drug proportion significantly reduced resulting in higher satisfaction of patients. Conclusion:The standardized pharmaceutical care process performed by clinical pharmacists in endocrinology department makes phar-maceutical care more specific, comprehensive and convenient.
ABSTRACT
Objective To establish the optimum syndrome classification method by using the technology of modern TCM diagnosis and artificial intelligence analysis method for menopausal syndrome differentiation of TCM. Methods Diagnostic information of menopausal syndrome patients was collected and syndromes were classified according to TCM syndrome differentiation standard. Three kinds of common data mining classification algorithm, Bayesian network, K-nearest neighbors and support vector machine, were used for analysis on information data of the four methods of diagnosis of menopausal syndrome.Results The time, classification accuracy, coverage rate and margin curve of establishing TCM syndrome model by the three kinds of algorithm methods under the circumstances of same training and data. The influence of the number of training samples of 3 kinds of algorithm methods was analyzed, and the model established by the three kinds of algorithms was evaluated.Conclusion Bayesian network algorithm is better than the other two methods in the menopausal syndrome classification effect.
ABSTRACT
To observe the facial spectrum and color of different points, the positions of heart, liver, spleen, lung and kidney of traditional Chinese medicine reflecting on the face, in healthy participants and those with a sub-health status, so as to provide an objective basis for health evaluation.
ABSTRACT
This paper is aimed to observe the difference of facial color of people with different health status by spectral photometric color measuring technique according to the theory of facial color diagnosis in Internal Classic. We gathered the facial color information about the health status of persons in healthy group (183), sub-healthy group (287) and disease group (370) respectively. The information included L, a, b, C values and reflection of different wavelengths in 400-700nm with CM-2600D spectral photometric color measuring instrument on 8 points. The results indicated that overall complexion color values of the people in the three groups were significantly different. The persons in the disease group looked deep dark in features. The people in the sub-healthy group looked pale in features. The loci L, a, b, C values were with varying degrees of significant differences (P < 0.05) at 6 points among the groups, and the central position of the face in all the groups was the position with most significant differences. Comparing the facial color information at the same point of the people in the three groups, we obtained each group's diagnostic special point. There existed diagnostic values in distinguishing disease status and various status of health in some degree by spectral photometric color measuring technique. The present method provides a prosperous quantitative basis for Chinese medical inspection of the complexion diagnosis.
Subject(s)
Adolescent , Adult , Aged , Aged, 80 and over , Female , Humans , Male , Middle Aged , Young Adult , Color , Face , Health Status , Medicine, Chinese Traditional , Methods , Photography , Spectrophotometry , Spectrum AnalysisABSTRACT
This paper presents a medical image acquisition and analysis method-TRM (Topology Resolve-Map) Model-under natural light condition indoors. Firstly, in accordance to medical image color characteristics, a colorful and grayscale color control patch was made for use as supervised color. "Topology Resolve-Map-Restoration" was carried on in LAB color space of the one-dimensional L* space and the two-dimensional a* b* space. Then, L* value was regulated by subsection regulation and a* b* value was regulated by triangulation topological cutting--close in on center of gravity method. After correction of the 198 color blocks in 22 pictures, the results showed that, by comparison with the standard value, the deltaL*, deltaC* and deltaE decreased significantly (P < 0.01) after correction by TRM. After correction, the difference in image's color is reduced, the color saturation is improved and the value is closer to true value. TRM model can significantly reduce the color difference of the medical image under natural light condition; it has a good effect on color correction.
Subject(s)
Humans , Artificial Intelligence , Calibration , Color , Reference Standards , Image Processing, Computer-Assisted , Methods , Pattern Recognition, Automated , Methods , Photography , MethodsABSTRACT
To establish an analytical method for tongue image acquisition under natural daylight based on L*a*b* error correction, and to observe the classification rules of tongue color using color error correction.