The data storage platform is a unified data management platform integrating various comprehensive data such as survey report data over the years, hospital physical examination data, provincial department data, gene data and image data. It realizes the unified management of structured and unstructured data and data from various sources, and provides one-stop data services. Users can view through the platform and apply for data from different sources for their own use, without worrying about where and how to store the data. The underlying storage of the data storage platform consists of two parts: MPP database for storing traditional structured data and Hadoop system for processing non-traditional structured data and unstructured data.
With the continuous expansion of public health information, we can use data analysis technology to capture and filter various types of public health information data. Due to the data analysis method, medical workers can manage a large number of unstructured data, and then explore the true knowledge from these data.
If the doctor tells you that no matter where you are uncomfortable, the best treatment is medication, then the pills or reagents they provide you are likely to be formulated with the help of big data. Based on the large amount of data obtained from subjects, researchers were able to choose the best treatment. Recently, some breakthroughs have been made in data sharing among pharmaceutical giants. For example, they found that desipramine, a commonly used antidepressant, has potential use in the treatment of lung cancer.
Drug use is planned according to each person's unique genetic structure, and the individual's genetic blueprint and data are integrated into their life and environment, and then these data are compared with thousands of other people, so as to diagnose the disease and determine the best treatment.