دانلود کتاب مراقبت های بهداشتی هوشمند مبتنی بر اینترنت اشیا – راه حل های هوشمند و ایمن با استفاده از تکنیک های یادگیری ماشین

Continuous growth in global population and the demand of healthcare, particularly for the elderly and physically disabled people, is a challenge in the current era. The growth in ageing population led to complex health issues and rise in healthcare expenditures. Conventional health monitoring system for these people is time consuming, inconvenient, and insufficient most of the times. However, there has been a demand for developing efficient healthcare solutions for these people for an improved lifestyle. Advances in artificial intelligence (AI) technologies and Internet of Things (IoT) have opened up a new revolution in the healthcare domain. The response time in diagnosis and treatment of elderly and disabled patient can be reduced through Internet of Things and wearable body sensors. Using low-cost and lightweight body sensors placed very close to the body of the patient, the lifestyle data can be collected, and the information, in turn, could be shared with the doctors and health caretakers remotely. Machine intelligence is another aspect to remote healthcare system in analyzing the huge and heterogeneous data collected by the sensors. The promising technological area of wearable sensors, IoT, and machine intelligence seems to afford a smart and intelligent means for an automated health monitoring system for elderly and disabled patients staying remotely. The intension of this chapter is to explore the advancement,modality, specification, and applications of wearable body sensors for acumination of body symptoms from remote patients. Then, the importance and necessity of machine intelligence for analysis of healthcare datawill be discussed. Finally, a conceptual model integratingwearable body sensors, IoT, and machine intelligence for remote healthcare will be presented.