Informatics, Journal Year: 2024, Volume and Issue: 11(3), P. 68 - 68
Published: Sept. 13, 2024
Precision medicine has emerged as a transformative approach aimed at tailoring treatment to individual patients, moving away from the traditional one-size-fits-all model. However, Clinical decision support systems encounter challenges, particularly in terms of data aspects. In response, our study proposes data-driven framework rooted Simon’s decision-making This leverages advanced technologies such artificial intelligence and analytics enhance clinical precision medicine. By addressing limitations integrating AI analytics, contributes advancement optimal practices healthcare.
Language: Английский