1. Genetic justification of COVID-19 patient outcomes using DERGA, a novel data ensemble refinement greedy algorithm.
- Author
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Asteris, PG, Gandomi, AH, Armaghani, DJ, Tsoukalas, MZ, Gavriilaki, E, Gerber, G, Konstantakatos, G, Skentou, AD, Triantafyllidis, L, Kotsiou, N, Braunstein, E, Chen, H, Brodsky, R, Touloumenidou, T, Sakellari, I, Alkayem, NF, Bardhan, A, Cao, M, Cavaleri, L, Formisano, A, Guney, D, Hasanipanah, M, Khandelwal, M, Mohammed, AS, Samui, P, Zhou, J, Terpos, E, Dimopoulos, MA, Asteris, PG, Gandomi, AH, Armaghani, DJ, Tsoukalas, MZ, Gavriilaki, E, Gerber, G, Konstantakatos, G, Skentou, AD, Triantafyllidis, L, Kotsiou, N, Braunstein, E, Chen, H, Brodsky, R, Touloumenidou, T, Sakellari, I, Alkayem, NF, Bardhan, A, Cao, M, Cavaleri, L, Formisano, A, Guney, D, Hasanipanah, M, Khandelwal, M, Mohammed, AS, Samui, P, Zhou, J, Terpos, E, and Dimopoulos, MA
- Abstract
Complement inhibition has shown promise in various disorders, including COVID-19. A prediction tool including complement genetic variants is vital. This study aims to identify crucial complement-related variants and determine an optimal pattern for accurate disease outcome prediction. Genetic data from 204 COVID-19 patients hospitalized between April 2020 and April 2021 at three referral centres were analysed using an artificial intelligence-based algorithm to predict disease outcome (ICU vs. non-ICU admission). A recently introduced alpha-index identified the 30 most predictive genetic variants. DERGA algorithm, which employs multiple classification algorithms, determined the optimal pattern of these key variants, resulting in 97% accuracy for predicting disease outcome. Individual variations ranged from 40 to 161 variants per patient, with 977 total variants detected. This study demonstrates the utility of alpha-index in ranking a substantial number of genetic variants. This approach enables the implementation of well-established classification algorithms that effectively determine the relevance of genetic variants in predicting outcomes with high accuracy.
- Published
- 2024