In view of the complexity and limitations of the design of traditional medical expert systems, a universal disease auxiliary diagnosis platform based on the Web is proposed. The overall architecture and workflow of the system are explained, and the design ideas and implementation methods of the solution are discussed. The implementation technologies of data normalization, medical record templates, medical record collection, knowledge acquisition, and online diagnosis functions are introduced. Actual tests show that the system is feasible in terms of function and performance. Keywords: computer-aided diagnosis; disease attributes; templates; knowledge mining; rule matching
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