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

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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

上漲

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

飾帶

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 Alba?il 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

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