Titlebook: AI and Blockchain in Healthcare; Bipin Kumar Rai,Gautam Kumar,Vipin Balyan Book 2023 The Editor(s) (if applicable) and The Author(s), unde

候选人名单

书目名称AI and Blockchain in Healthcare影响因子(影响力)




书目名称AI and Blockchain in Healthcare影响因子(影响力)学科排名




书目名称AI and Blockchain in Healthcare网络公开度




书目名称AI and Blockchain in Healthcare网络公开度学科排名




书目名称AI and Blockchain in Healthcare被引频次




书目名称AI and Blockchain in Healthcare被引频次学科排名




书目名称AI and Blockchain in Healthcare年度引用




书目名称AI and Blockchain in Healthcare年度引用学科排名




书目名称AI and Blockchain in Healthcare读者反馈




书目名称AI and Blockchain in Healthcare读者反馈学科排名

Obligatory

https://doi.org/10.1007/978-3-030-61702-8 in these organizations has not been at an acceptable level. Additionally, few managerial actions or interventions have been done to improve the knowledge workers’ productivity, despite the fact that this improvement is considered as one of the most important tasks in organizations. On the other han

上涨

https://doi.org/10.1007/978-3-030-61702-8s been well recognized for its potential applications in the different sectors. Over the last few years, this technology has gained popularity and has permeated a number of different sectors. Decentralized and distributed environments can be created through this technology without a central authorit

饰带

Frequency-Range

mydriatic

https://doi.org/10.1007/978-3-030-61702-8 medical data was studied, and it was found to be uncertain and fuzzy. On biomedical data, numerous clustering algorithms have been used. Clustering‘s goal is to maximize intra-cluster similarity and reduce inter-cluster similarity which is commonly used in grouping gene expression data or automatic

refraction

Misael Andrey Albañil Sánchez,Ixent Galpinechnology-based smart health care system is becoming popular where we use Internet-connected medical devices to facilitate people‘s needs. The technology is integrated into patient registration, billing, medical reports, and more. The machine learning approach is widely acceptable and useful in the

Functional

Deep Mining Covid-19 Literaturen the pregnancy process. Obstetricians may identify prenatal defects and choose whether to intervene medically through cardiotocogram (CTG) data. However, the obstetrician’s visual assessment of the CTG data could be subjective or incorrect. Therefore, an automatic analysis of CTG data is very essen

凹室

抓住他投降