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Artificial intelligence-based techniques for predicting outcomes in COVID-19 patients
Victoria Moghildea1*, Cristina Trofimov2, Ion Grabovschi2, Ruslan Baltaga1, Serghei Sandru1, Sergiu Cobîlețchi1, Oleg Arnaut2
https://doi.org/10.52645/MJHS.2025.1.10
Currently, extensive research has shown that almost all published prediction models are poorly studied and have significant limitations, leading to their predictive performance often being overestimated. Additionally, there is still no universally accepted scoring system, primarily due to the need for adaptation to heterogeneous patient samples (including patient numbers, clinical profiles, and risk factors) and/or ongoing differences in the organization of healthcare systems across various countries.