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Smart healthcare analytics = state o...

Pattnaik, Prasant Kumar.

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Smart healthcare analytics = state of the art /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Smart healthcare analytics/ edited by Prasant Kumar Pattnaik ... [et al.].
其他題名:	state of the art /
其他作者:	Pattnaik, Prasant Kumar.
出版者:	Singapore :Springer Singapore : : 2022.,
面頁冊數:	xiv, 220 p. :ill., digital ;24 cm.
內容註:	Smart Healthcare Analytics in IoT enabled Environment: An overview -- Neuronal reconstitution effect of stem cell transplantation for smart healthcare after focal cerebral ischemia -- A Review of Cancer Detection and Prediction Based on Supervised and Unsupervised Learning Techniques -- Resource Management Challenges in IoT based healthcare system -- A Comprehensive and Analytical Study of Smart Healthcare with IoT -- Clinical Study on Itching Relief Caused by Dry Skin of Cosmetics Containing Ceramide NP and Guaiazulene in Smart Healthcare Products -- Study and Impact Analysis of Machine Learning Approaches for Smart Healthcare in Predicting Mellitus Diabetes on Clinical Data -- A Review of Flying Robot Applications in Healthcare -- Application of Deep Learning in Biomedical Informatics and Healthcare -- Integration of Machine Learning and IoT for Assisting Medical Experts in Brain Tumor Diagnosis -- The relationship between SNS fatigue, SNS immersion and social support recognized by SNS due to smart intelligence -- Factors Affecting Attitudes toward Death of Korean Nursing College Students; Including Spiritual Well-being for Smart healthcare -- Development of smart healthcare cosmetic ingredients using lactic acid fermented coffee -- Ranking of SARS-CoV-2 Vaccines with reference to India -- RFID based Patient Billing Automation Using Internet of Things (IoT)
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Medical applications. -
電子資源:	https://doi.org/10.1007/978-981-16-5304-9
ISBN:	9789811653049

Smart healthcare analytics = state of the art /
Smart healthcare analyticsstate of the art /[electronic resource] :edited by Prasant Kumar Pattnaik ... [et al.]. - Singapore :Springer Singapore :2022. - xiv, 220 p. :ill., digital ;24 cm. - Intelligent systems reference library,v. 2131868-4408 ;. - Intelligent systems reference library ;v. 213..

Smart Healthcare Analytics in IoT enabled Environment: An overview -- Neuronal reconstitution effect of stem cell transplantation for smart healthcare after focal cerebral ischemia -- A Review of Cancer Detection and Prediction Based on Supervised and Unsupervised Learning Techniques -- Resource Management Challenges in IoT based healthcare system -- A Comprehensive and Analytical Study of Smart Healthcare with IoT -- Clinical Study on Itching Relief Caused by Dry Skin of Cosmetics Containing Ceramide NP and Guaiazulene in Smart Healthcare Products -- Study and Impact Analysis of Machine Learning Approaches for Smart Healthcare in Predicting Mellitus Diabetes on Clinical Data -- A Review of Flying Robot Applications in Healthcare -- Application of Deep Learning in Biomedical Informatics and Healthcare -- Integration of Machine Learning and IoT for Assisting Medical Experts in Brain Tumor Diagnosis -- The relationship between SNS fatigue, SNS immersion and social support recognized by SNS due to smart intelligence -- Factors Affecting Attitudes toward Death of Korean Nursing College Students; Including Spiritual Well-being for Smart healthcare -- Development of smart healthcare cosmetic ingredients using lactic acid fermented coffee -- Ranking of SARS-CoV-2 Vaccines with reference to India -- RFID based Patient Billing Automation Using Internet of Things (IoT)

This edited book helps researchers and practitioners to understand e-health, m-healthcare architecture through IoT and the state of the art in IoT counter measures. This book provides a comprehensive discussion on a functional framework for IoT-based healthcare systems, intelligent medicine box, RFID technology, HMI, cognitive interpretation, BCI, remote health monitoring systems, wearable sensors, WBAN, healthcare analytics, machine learning (ML) techniques for IoT-enabled healthcare services, security and privacy issues in IoT-based healthcare monitoring systems. The book discusses integration of IoT with big data and cloud computing for solving several real-time problems by the use of smart healthcare applications. In these applications, the cloud computing provides a common workplace for IoT and big data, big data provides data analytics technology and IoT provides the source of data. It serves as a reference resource for researchers and practitioners in academia and industry.

ISBN: 9789811653049

Standard No.: 10.1007/978-981-16-5304-9doiSubjects--Topical Terms:

900591
Artificial intelligence
--Medical applications.

LC Class. No.: R859.7.A78 / S53 2022

Dewey Class. No.: 610.28563

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