"Black technology" of medical data: visual analysis based on big data of pharmaceutical intelligence

[introduction] are more and more pharmaceutical industry personnel choosing the pharmaceutical intelligence big data visualization analysis platform the same, or do Heroes think alike? How to collect, process and use all kinds of information purposefully and efficiently? On the basis of data and under the guidance of the principle of seeking truth from facts, the data of pharmaceutical intelligence is processed quantitatively in a deep level on a large number of rich statistical data and data, which concentrates and extracts the information behind a large number of seemingly disordered data and summarizes its internal laws [introduction] the characteristics of complex types of pharmaceutical products and services, and a large number of customer groups in the pharmaceutical industry give birth to massive data, which has the characteristics of large amount of data, various types, low value density, high speed and efficiency So how do you organize your data so that it's attractive and easy to understand? The pharmaceutical intelligence big data visual analysis platform extracts high-value and dense visual interaction charts from big data with various data It uses force oriented layout chart to visualize "relationship data" Each node represents an individual, and the related nodes will be connected with a straight line; it presents a large number of nodes and complex relationships clearly [consistency evaluation] Based on the data of 289 varieties of generic drug consistency evaluation, the pharmaceutical intelligence big data visualization analysis platform is associated with relevant enterprises and drugs, and analyzes from "basic information of varieties", "reference drugs specified by FDA and Japan in the United States", "original research institutions of this variety", "BCS classification of this variety" and other aspects to get more information about generic drug consistency evaluation Figure 1: drug enterprise relationship diagram drug force map: drug production enterprise relationship diagram, showing the complex relationship of one to many and many to many between drugs and enterprises As shown in Figure 1, each node represents an individual, orange represents an enterprise and blue represents a drug; the size of the node in the diagram also represents the complexity of the node, and the larger the node is, the more the number of nodes it is associated with Figure 2: operation diagram is shown in Figure 2 Right click the node to perform more operations: 1 Right click the enterprise node to select all nodes to generate the product relationship diagram of the enterprise to complete the consistency evaluation; right click the drug node to select all nodes to generate the related manufacturer relationship diagram of the drug By analogy, a complex network diagram can be generated 2 Click the detailed information to pop up the basic information of the drug / pharmaceutical enterprise; a the number of approval documents, active ingredients, etc of the drug, click to view the details, and you can go to the database of China orange peel book to view the details related to the conformity evaluation of the generic drug b For basic information of the enterprise, click Details to visit Chinese pharmaceutical manufacturers for more information 3 Right click the enterprise node and select all nodes to view the drugs; 4 Each node can be dragged freely, or you can click a node to fix it, or you can unfix it after it is fixed, or you can delete an unnecessary node [synthesis map] big data of drug synthesis - drug synthesis force map: the relationship map of the synthesis route of APIs and intermediates, the relationship and rules between intermediates, compounds and synthesis routes that are difficult to find in the two-dimensional data table, can be clearly shown here The synthesis map makes the complex upstream and downstream relationships clear at a glance, and it is easy to find the synthesis route Figure 3: drug synthesis diagram is as shown in the figure, orange is the API, and blue is the intermediate of the API production process The arrow points to the downstream compound; the size of the node represents the number of upstream and downstream nodes, and the larger the node setting represents the more nodes 1 Right click on the node and click Details to view the drug synthesis data information of the node compound; 2 You can also find a downstream node for a compound to understand the role of the compound in this synthesis route and provide opportunities for finding new target compounds For example, if you find the intermediate 10061, you can find the downstream route of the non target node If you find the intermediate 10061, you can also synthesize 226522, 217382, 226498 and other APIs (orange node in the figure) [Conclusion] the construction of visualization analysis platform for big data of pharmaceutical intelligence has completed the largest puzzle of big data analysis of pharmaceutical The hidden relationships among millions of medical big data are presented in the way of force oriented graph At the same time, this big data visualization technology analysis method helps medical professionals to obtain, analyze and summarize the information and laws hidden in big data, timely excavate the deep-seated internal relations to maximize the function of data development, and play the real role of data! Immediate experience: Pharmaceutical intelligence big data visual analysis platform