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

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research 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...

查看原文本刊更多论文

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

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.