Deep recurrent reinforced learning model to compare the efficacy of targeted local versus national measures on the spread of COVID-19 in the UK

التفاصيل البيبلوغرافية
العنوان:	Deep recurrent reinforced learning model to compare the efficacy of targeted local versus national measures on the spread of COVID-19 in the UK
المؤلفون:	Umberto Benedetto, Gianni Angelini, Massimo Caputo, Daniel Fudulu, Tim Dong, Shubhra Sinha, Arnaldo Dimagli, Jeremy Chan
المصدر:	BMJ Open, Vol 12, Iss 2 (2022)
بيانات النشر:	BMJ Publishing Group, 2022.
سنة النشر:	2022
المجموعة:	LCC:Medicine
مصطلحات موضوعية:	Medicine
نوع الوثيقة:	article
وصف الملف:	electronic resource
اللغة:	English
تدمد:	2044-6055
Relation:	https://bmjopen.bmj.com/content/12/2/e048279.full; https://doaj.org/toc/2044-6055
DOI:	10.1136/bmjopen-2020-048279
URL الوصول:	https://doaj.org/article/e850033b7fb64f40918f2944c91f493d
رقم الأكسشن:	edsdoj.850033b7fb64f40918f2944c91f493d
قاعدة البيانات:	Directory of Open Access Journals

الوصف
تدمد:	20446055
DOI:	10.1136/bmjopen-2020-048279