Naslov
Regression analysis of the most frequent medical diagnoses in a Mediterranean country

Autori
Bezić, Dominik ; Bagić Babac, Marina

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni

Knjiga
Computational Intelligence for Medical Internet of Things (MIoT) Applications

Urednik/ci
Maleh, Yassine ; El-Latif Ahmed A. Abd ; Curran, Kevin ; Siarry, Patrick

Izdavač
Elsevier

Grad
London : Delhi

Godina
2023

Raspon stranica
143-173

ISBN
978-0-323-99421-7

Ključne riječi
data analysis ; regression analysis ; medical diagnoses ; Mediterranean ;

Sažetak
This paper aims to explore the most frequent chronic and acute diagnoses for patients in Croatia, a Mediterranean country situated in the heart of Europe. The analysis is based on a large anonymized dataset of medical prescriptions during the period from 2017 until 2019. Descriptive statistics of a dataset are based on the International Classification of Diseases. An in- depth overview of the chronic and acute diagnoses is provided, which allowed for comparisons across Croatian counties and the identification of future trends. Despite the limitation of this study that it relies on data acquired before the onset of the COVID-19 in the world as well as in Croatia, the predictive regression models are proposed to anticipate future trends in the state of the health of the nation.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA