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
{"title":"Transferability of new methods for health technology assessment in the field of diabetes between early and late adopters’ countries","authors":"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","doi":"10.1080/13102818.2024.2371354","DOIUrl":null,"url":null,"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...","PeriodicalId":9076,"journal":{"name":"Biotechnology & Biotechnological Equipment","volume":"41 1","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biotechnology & Biotechnological Equipment","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/13102818.2024.2371354","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
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...
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.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
