Abstract
Background: Many drug research problems are multi-objective optimization ones, such as drug efficacy evaluation, etc. The new concept of preferable probability was introduced in the probability-based multi-attribute optimization (PMAO) to reflect the preferable degree of the candidate, which aimed to solve the inherent problems of subjective factors and additive algorithms in other methods. Furthermore, some medical problems, including optimizations of prescriptions of drug extraction, are dealt with by using PMAO impersonally Objective: The optimizations of prescriptions of drug extraction and the compatibility of the traditional Chinese medicine design, and the schemes chosen in medical treatment for the cure of non-small cell lung cancer are conducted by means of PMAO. Methods: All performance utility indicators of candidates are divided into beneficial or unbeneficial types, and consistently treated in the scheme selection; each performance utility indicator contributes a partial preferable probability quantitatively, and the product of all partial preferable probabilities makes the total preferable probability of a candidate, which thus transfers the multiobject optimization problem into a single-object optimization one and is the uniquely decisive index in the selection process. Results: 1. The drug extraction conditions from schisandra fruit are at 526.79 w microwave power, 75.89% ethanol concentration, 5 min extraction time, 12 times ethanol consumption, and 80 mesh pulverization degree; 2. The optimal compatibility of Lingguishugan Decoction is with Poria 18 g, Guizhi 13.5 g, Atractylodes 13.5 g, and Licorice 3 g; 3. The pemetrexed is the appropriate treatment for the commonly used chemotherapy regimens for advanced non-small cell lung adenocarcinoma comparatively. Conclusion: This study indicates the applicability of the PMAO in the scheme selection of formulation of prescription and medical treatment.
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