Data is a direct expression of the development of things. It can teach people the status quo and plan the future. Data mining is a process of searching for information hidden in it from a large amount of data. At present, data mining technology is gradually being applied to the pharmaceutical industry to help it achieve its goal of high informationization.
The author understands that data mining technology mainly includes eight steps: data cleaning, data transformation, data mining implementation process, pattern evaluation and knowledge representation. It is a repetitive process. If each step does not achieve the desired goal, it needs to go back to the previous steps, re-adjust and execute. So, what are the main methods of data mining technology? How is data mining technology applied in the pharmaceutical industry? What impact will it have on the pharmaceutical industry?
In general, data mining techniques mainly have these methods: decision tree method, which mainly classifies data, constitutes a test function, establishes each layer of the tree, and repeats to form a decision tree. Artificial neural network, which refers to the method of biological neural network, just like human neural network, it can connect the input and output signals to the hub, and simulate the human brain's nervous system to process information. Genetic algorithm is a kind of optimization algorithm that mimics the natural selection and genetic mechanism of Darwin's biological evolution. The clustering algorithm can be said to be a method of multivariate statistical research, "the object is clustered, and the people are divided into groups." The main task is to discover the accumulation phenomenon in large data.
Data mining technology has promoted drug development. It is reported that the discovery of lead compounds in the development of new drugs is a key step in drug development. Therefore, some pharmaceutical companies will look for pharmacodynamic groups through technical analysis and judgment rather than random screening. The advantage of this is that it can reduce R&D costs and shorten the development cycle. At present, many countries are building drug discovery integration platforms through data mining of molecular information.
In the field of traditional Chinese medicine, data mining technology can also have a positive impact. China has abundant resources of traditional Chinese medicine. Many precious medicinal materials are facing the predicament of extinction in the face of the increasingly harsh natural environment. In order to find an environment suitable for the growth of Chinese medicinal materials, some pharmaceutical companies will use data mining technology to solve real problems. Not only that, but China has also established a national-level database, which contains a lot of important Chinese medicine data to quantify the growth of medicinal materials, so as to find a suitable growth environment.
Of course, in the pharmaceutical industry, data mining technology is not only used in pharmaceutical products, but also facilitates the management of pharmaceutical companies. For example, in the pharmaceutical company's customer relationship management, the power of data mining technology is manifested. A pharmaceutical company executive said that data mining technology can segment customers, which will help pharmaceutical companies to provide personalized customized services. Data mining technology can also help pharmaceutical companies develop potential customers and identify customer concerns so that pharmaceutical companies can turn potential customers into actual customers.
In addition, analyzing customer profitability, cross-marketing, and increasing corporate competitiveness are all advantages of data mining technology. Through this technology, pharmaceutical companies can not only scientifically manage customer relationships, but also have a clear understanding of the future product development, market development, and the direction of capital investment and the determination of the order of drug listing.
From this point of view, data mining technology has brought greater convenience to the pharmaceutical industry. In view of the future prospects of data mining technology, some experts said that the application of this technology will become more and more extensive. With the increasing demand for data mining technology, the focus of research in this field will focus on the direction of non-digital data, process visualization, and intelligent development.
For the prospect of data mining technology in the pharmaceutical industry, the expert said that the current application of data mining technology in the pharmaceutical industry is still in its infancy, and there are still many challenges and problems to be solved on the development road. Despite this, the technology will bring convenience to drug companies in drug development and business management.
And from the current market situation and the speed of the global pharmaceutical industry, some software developers and suppliers have already set their sights on this field. They aim to provide pharmaceutical companies with more convenient technical means to make full use of the global network to help them streamline the process of research and development and innovation of medicines, save resources, reduce costs and achieve the ultimate goal.
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