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"Diagnostic classification" as a book category covers works that explain, develop or apply systems and methods for identifying, categorizing, and labeling conditions, faults, or phenomena. It includes clinical and public-health manuals (e.g., diagnostic criteria and taxonomies like DSM/ICD), textbooks on differential diagnosis, psychometric and educational assessment guides, and technical books on fault diagnosis and classification algorithms in engineering and data science. These titles address the principles of creating and validating classification schemes, the use of tests and measurements, decision rules and coding systems, and practical case studies and software tools for applying diagnostic frameworks. The audience ranges from clinicians, educators, and researchers to engineers and machine-learning practitioners who need reliable systems for assessment and decision-making.

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