Revealing the nature of cardiovascular disease using DERGA, a novel data ensemble refinement greedy algorithm

Asteris, P. G., Gavriilaki, E., Kampaktsis, P. N., Gandomi, A. H., Armaghani, D. J., Tsoukalas, M. Z., Avgerinos, D. V., Grigoriadis, S., Kotsiou, N., Yannaki, E., Drougkas, A., Bardhan, A., Cavaleri, L., Formisano, A., Mohammed, A. S., Murlidhar, B. R., Paudel, S., Samui, P., Zhou, J., … Gkaliagkousi, E. (2024). Revealing the nature of cardiovascular disease using DERGA, a novel data ensemble refinement greedy algorithm. International Journal of Cardiology, 412, 132339. https://doi.org/10.1016/j.ijcard.2024.132339
Authors:
Panagiotis G Asteris
Eleni Gavriilaki
Polydoros N Kampaktsis
Amir H Gandomi
Danial J Armaghani
Markos Z Tsoukalas
Dimitrios V Avgerinos
Savvas Grigoriadis
Nikolaos Kotsiou
Efthalia Yannaki
Anastasios Drougkas
Abidhan Bardhan
Liborio Cavaleri
Antonio Formisano
Ahmed Salih Mohammed
Bhatawdekar Ramesh Murlidhar
Satish Paudel
Pijush Samui
Jian Zhou
Panteleimon Sarafidis
Agostino Virdis
Eugenia Gkaliagkousi
Affiliated Authors:
Polydoros N Kampaktsis
Subjects:
Author Keywords:
artificial intelligence
classification algorithms
cardiovascular disease
derga
microparticle markers
Publication Type:
Article
Unique ID:
10.1016/j.ijcard.2024.132339
PMID:
Publication Date:
Data Source:
PubMed

Record Created: