Regression modeling method based on Monte Carlo algorithm

Abstract

The invention discloses a regression modeling method based on a Monte Carlo algorithm, and relates to the field of medicine and pharmacology, and the Monte Carlo algorithm is suitable for carrying out a calculation simulation test on a discrete system. In the calculation simulation, a probability model similar to the system performance is constructed, and a random test is performed on a digital computer, so that the random characteristics of the system can be simulated. Through the method, the efficiency of combination optimization can be improved.

Description

technical field [0001] The invention relates to the field of medicine, in particular to a regression modeling method based on a Monte Carlo algorithm. Background technique [0002] Drugs are one of the main means used by modern medicine to intervene in the occurrence and development of diseases. At present, there are tens of thousands of drugs known to mankind. Whether for better therapeutic effect or limited to the complexity of the disease, the simultaneous use of multiple drugs often occurs. However, most drugs are used alone in the process of development and testing, or only a small number of drug interactions are tested, and the vast majority of drug interactions and mechanisms are still unclear. [0003] The currently known drug interaction mechanisms are also very diverse, including direct reactions, metabolite reactions, target network connections, and systemic interactions. However, from the evaluation of the results of drug combination effects, the drug interact...

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Problems solved by technology

The error can only be eliminated when the number of experiments is multiplied by the number of coefficients, but this will greatly increase the cost of experiments

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