The role of the structural organization of knowledge in analyzing biochemical data

Knowledge acquisition is the most important and difficult process in creating an intelligent system. This involves data mining and structural organization. A data-structuring method that was developed in cooperation with experts in nonformalized areas of medicine is proposed. First, the key questions (blocks) are formulated. The answers allow an expert to find a complete solution of the stated problem. Second, the structural organization of the attribute space in each block is carried out. An example of structuring in clinico-laboratory diagnostics is given.