Titlebook: Smart Healthcare Analytics: State of the Art; Prasant Kumar Pattnaik,Ashlesha Vaidya,Ana Hol Book 2022 The Editor(s) (if applicable) and T

吸气

Resource Management Challenges in IoT Based Healthcare System,nication. It also requires a huge enhancement to compete with the current scenario and medication facilities. IoT has a huge architecture that clarifies the related field. Still, some lack of knowledge is opposing the principal investigators to gain more information about it. The proliferation of Io

ERUPT

弄皱

Clinical Study on Itching Relief Caused by Dry Skin of Cosmetics Containing Ceramide NP and Guaiazud out together in smart healthcare products. In this study, the anti-inflammatory effect of guaiazulene (GAZ) was confirmed by measuring the expression level of pro-inflammatory cytokines, interleukin 6 (IL-6) and interleukin 8 (IL-8) in tumor necrosis factor‐alpha (TNF‐α) stimulated human keratinoc

蛛丝

Study and Impact Analysis of Machine Learning Approaches for Smart Healthcare in Predicting MellituSometimes it causes saviour injuries to mammals leading them to death. To evade loss of precious lives several machine learning methodologies are implemented for the prediction of diabetes. The task of predictive analytics is very challenging but it can eventually assist the physicians to predict th

PARA

A Review of Flying Robot Applications in Healthcare,to access areas, transport of microbiological, laboratory samples, pharmaceuticals, vaccines, emergency equipment’s, Telemedicine’s, clinical care, etc. The contemporary health care system of the present decade is focused to improve the quality of people’s lives by using advanced technology. This ch

Affluence

远足

使苦恼

The Relationship Between SNS Fatigue, SNS Immersion and Social Support Recognized by SNS Due to Smaaintain smart intelligence by identifying SNS usage. The subjects of the study were 224 college students attending a four-year university located in C. Through an online survey, social support, SNS fatigue, and SNS immersion tendency were investigated. Data analysis used the SPSS 22.0 program to per

Enliven

Factors Affecting Attitudes Toward Death of Korean Nursing College Students; Including Spiritual Weard death and to identify the factors affecting their attitude toward death. The collected data were frequency analysis, mean and standard deviation, t-test, ANOVA, Pearson correlation, and multiple regression using the SPSS 26 program. The results showed that men had higher existential well-being t

不自然