Construction of the diagnosis and treatment process of dermatosis based on data-driven approach

In this study, we selected the dermatology data, constructed a dictionary of dermatology semantic classification, and established a corpus of dermatology literature. Based on the context calculation model we took the case of erythema skin disease as the example, identified the semantic meaning of the dermatology data, and formed the concept attribute of dermatology knowledge, constructed the dermatology ontology. We established a priori database and verified each other with the running data to correct the data error and improve the data definition. In this study, we used the natural language to describe the characteristic information of skin diseases, and carried out the semantic searching. Finally, we constructed the mathematical model of the diagnosis and treatment of dermatology based on the corpus, the ontology and the priori database. The purpose is to supply the gap of unbalance of doctors' personal level of the dermatosis diagnosis and treatment, improve the level and accuracy of clinical diagnosis and treatment of dermatosis, and to achieve effective drive of medical literature data for clinical diagnosis and treatment.