Transferability of new methods for health technology assessment in the field of diabetes between early and late adopters’ countries

IF 1.5 4区生物学 Q4 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biotechnology & Biotechnological Equipment Pub Date : 2024-06-25 DOI:10.1080/13102818.2024.2371354

Konstantin Tachkov, Francisco Somolinos-Simón, Jose Tapia-Galisteo, Maria Elena Hernando, Gema García-Sáez, Maria Dimitrova, Maria Kamusheva, Zornitsa Mitkova, Zsuzsanna Petyko, Bertalan Nemeth, Zoltan Kalo, Tomas Tesar, Marian-Sorin Paveliu, Oresta Piniazhko, Iga Lipska, Adina Turcu-Stiolica, Alexandra Savova, Manoela Manova, Rok Hren, Petra Došenović Bonča, Saskia Knies, Michal Stanak, Tomáš Doležal, Dinko Vitezic, Guenka Petrova

引用次数: 0

Abstract

This study aimed to investigate the transferability of novel artificial intelligence (AI) methods for prediction modelling of diabetes based on real-world data (RWD) between early and late adopters...

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糖尿病领域卫生技术评估新方法在早采用和晚采用国家之间的可转移性

本研究旨在调查基于真实世界数据（RWD）的新型人工智能（AI）方法在早期和晚期糖尿病患者之间的可移植性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Biotechnology & Biotechnological Equipment 工程技术-生物工程与应用微生物

CiteScore

3.10

自引率

0.00%

发文量

审稿时长

1 months

期刊介绍： Biotechnology & Biotechnological Equipment (B&BE) is an international open access journal publishing cutting-edge research. A modern world requires modern biotechnology and nanobiology. The journal is a forum that provides society with valuable information for a healthy and better life and promotes “the Science and Culture of Nature”. The journal publishes original research and reviews with a multidisciplinary perspective; expanded case reports with a focus on molecular medical research and advanced practice in evidence-based medicine are also considered.