Internet of Things Based Smart Healthcare Intelligent and Secure Solutions Applying Machine Learning Techniques /

Xehetasun bibliografikoak
Erakunde egilea:	SpringerLink (Online service)
Beste egile batzuk:	Biswas, Suparna (Argitaratzailea), Chowdhury, Chandreyee (Argitaratzailea), Acharya, Biswaranjan (Argitaratzailea), Liu, Chuan-Ming (Argitaratzailea)
Gaia:	VI, 397 p. 154 illus., 108 illus. in color. text
Hizkuntza:	ingelesa
Argitaratua:	Singapore : Springer Nature Singapore : Imprint: Springer, 2022.
Edizioa:	1st ed. 2022.
Saila:	Smart Computing and Intelligence,
Gaiak:	Machine learning. Biomedical engineering. Medical education. Medical care. Machine Learning. Medical and Health Technologies. Medical Education. Health Care.
Sarrera elektronikoa:	https://doi.org/10.1007/978-981-19-1408-9
Formatua:	Baliabide elektronikoa Liburua

Aurkibidea:

Part 1 IoT based Smart Healthcare
Chapter 1 Introduction
Chapter 2 Architecture for Smart Healthcare: Cloud vs Edge
Chapter 3 Main Challenges and Concerns of Health IoT Data
Part 2 Context and Body Vitals Monitoring Systems
Chapter 4 Human Activity Recognition Systems Based on Sensor Data using Machine Learning
Chapter 5 Human Activity Recognition Systems Based on Audio-Video Data using Machine Learning and Deep learning
Chapter 6 Review of Body Vitals Monitoring Systems for Disease Prediction
Chapter 7 Review of Context Aware System Implementations
Part 3 Social Sensing Applications for Public Health
Chapter 8 Types of Social Sensing Data
Chapter 9 Social Data Analysis Techniques and Applications
Chapter 10 Challenges and Limitations of Social Data Analysis Approaches
Part 4 Reliability, Security and Privacy of Health Data
Chapter 11 Quality of Service vs Quality of Experience for Real-time Smart Healthcare
Chapter 12 Security and Privacy Issues of HealthData
Chapter 13 Review of Performance Metrics and Corrective Measures for Health Data Analysis.

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