Authors : Dr. Roch Corneille Ngoubou; Pr Basile Guy Richard Bossoto; Dr. Regis Babindamana

Volume/Issue : Volume 10 - 2025, Issue 2 - February

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Google Scholar : https://tinyurl.com/y6cs7jp9

Scribd : https://tinyurl.com/4zu2upe5

DOI : https://doi.org/10.5281/zenodo.14965857

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Abstract : The integration of data semantics into MERISE conceptual models offers a significant opportunity for the improvement of artificial intelligence systems applied to clinical decision making. This paper explores a systematic approach for data modeling by considering their intrinsic meaning and constraints, in order to optimize the performance of AI models and improve diagnostic accuracy.

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