Abstract
Relying on the Biomedical Big Data Center of West China Hospital, this paper makes an in-depth research on the construction method and application of breast cancer-specific database system based on full data lifecycle, including the establishment of data standards, data fusion and governance, multi-modal knowledge graph, data security sharing and value application of breast cancer-specific database. The research was developed by establishing the breast cancer master data and metadata standards, then collecting, mapping and governing the structured and unstructured clinical data, and parsing and processing the electronic medical records with NLP natural language processing method or other applicable methods, as well as constructing the breast cancer-specific database system to support the application of data in clinical practices, scientific research, and teaching in hospitals, giving full play to the value of medical big data of the Biomedical Big Data Center of West China Hospital.
Highlights
With the rapid development of new technologies such as big data and artificial intelligence, the medicine overlaps with such disciplines as information technology, computer science, and cyber security in more and more aspects
This paper aims to integrate two heterogeneous clinical data sources, i.e., unstructured medical records and structured clinical data, through clinical text analysis and knowledge extraction; to break the information barriers within the organization and between clinical departments and to promote data sharing among medical centers in combination with patient information from multiple clinical data sources; to establish the diseasespecific data standards in accordance with international industry standards and to construct a multi-modal knowledge graph specific to breast cancer; to build a diseasespecific database system for the purpose of analyzing disease characteristics, providing supports in clinical decisionmaking and rational drug use to clinicians in the diagnosis and treatment of breast cancer
A scientific platform is created for research on breast cancer pathogenesis and etiology through comprehensive long-term longitudinal tracking and data comparison/analysis
Summary
With the rapid development of new technologies such as big data and artificial intelligence, the medicine overlaps with such disciplines as information technology, computer science, and cyber security in more and more aspects. Combined with the “multi-modal breast cancer-specific knowledge graph” and based on the databasewide medical big data, various quantitative or qualitative big data machine learning algorithms are utilized for data analysis [20,21,22] to output the holographic knowledge portrait analysis reports of the patient’s breast cancer risk profile, disease trend, clinical protocol, etc., such as the possibility of certain conclusion and the proportion of certain therapeutic regimen, providing the physicians with multi-dimensional and rich reference information, improving the ability of junior physicians in identification, diagnosis and treatment, and reducing the probability of missed diagnosis and misdiagnosis. The most important thing is that the data are real and updated in real time update, so they are more instructive
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