Abstract
The introductory chapter established the context for this paper by stressing the significance of leukemia in healthcare and the challenges associated with both diagnosis and therapy. The paper ultimate objective is to provide an information technology solution to these issues, thereby improving patient care and prognosis. A conceptual model of an expert system for the diagnosis of acute leukemia is proposed, which will reduce the ambiguity in the interpretation of research objects. Factors influencing the correct recognition of complex objects (images of blast and non-blast blood cells) using an expert system based on computer microscopy methods are considered.
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