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This scoping review examines the relationship between information theory quantifiers (ITQs), bioelectrical signals, and time series, and the limited diagnostic value of these measures in functional dyspepsia (FD). Three main variables were defined in this study: entropy, health experiments, and FD. Eighty-five academic documents were analyzed using the PRISMA methodology, following 4 phases: (i) heuristic; (ii) classification and systematic review; (iii) hermeneutic analysis; and (iv) presentation of results. ITQs are currently applied in the study of neurodegenerative diseases, cardiological conditions, and, to a lesser extent, gastric disorders, thereby opening new avenues for diagnosis and comprehensive clinical management. The review of the documents shows that, despite the methodological robustness, statistical testing, classification approaches, and the breadth of entropy measures employed, significant challenges remain when integrating these techniques due to the intrinsic complexity and heterogeneity of bioelectrical signals in FD. 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