Titlebook: Healthcare Informatics for Fighting COVID-19 and Future Epidemics; Lalit Garg,Chinmay Chakraborty,Victor S. Sohmen Book 2022 Springer Natu

預(yù)防注射

A Real-Time Review of Social Health Protection and Health Informatics Support for COVID-19 Outbreak review of decision support systems and electronic health record management as tools for data analysis and data sharing and their integration in real time into health supply chains and social health protection, making health policies more efficient, particularly for those targeting patients infected with coronaviruses in need of health assistance.

nitric-oxide

2522-8595 so analyses the implementation, assessment, adoption, and management of these healthcare informatics solutions to manage the pandemic and future epidemics. The book is relevant to researchers, professors, students, and professionals in informatics and related topics..978-3-030-72754-3978-3-030-72752-9Series ISSN 2522-8595 Series E-ISSN 2522-8609

偽證

不可知論

流浪

Lalit Garg,Chinmay Chakraborty,Victor S. SohmenReveals solutions employing informatics for battling COVID-19 and other coronaviruses.Discusses health data analytics, knowledge sharing, and IoT in relation to informatics and COVID-19.Pertinent to r

調(diào)整

EAI/Springer Innovations in Communication and Computinghttp://image.papertrans.cn/h/image/424841.jpg

Scleroderma

978-3-030-72754-3Springer Nature Switzerland AG 2022

Reclaim

Healthcare Informatics for Fighting COVID-19 and Future Epidemics978-3-030-72752-9Series ISSN 2522-8595 Series E-ISSN 2522-8609

易改變

https://doi.org/10.1007/978-3-030-72752-9COVID-19 pandemic and epidemics; Smart hospitals and patient monitoring; Disease risk and disease prog

Cardiac-Output

Novel COVID-19 Recognition Framework Based on Conic Functions Classifier,put data’s size. This step extracts appropriate features by reducing the computational time and increasing the performance of the classifiers. A classifier is the second step that aims to categorise the input. Within the proposed step, the unsupervised part relies on the feature extraction by using