Patient Behavioral Analysis with Smart Healthcare and IoT. (3rd November 2021)

• Record Type: Journal Article
• Authors: Tiwari, Anurag; Dhiman, Viney; Iesa, Mohamed A. M.; Alsarhan, Haider; Mehbodniya, Abolfazl; Shabaz, Mohammad
• Other Names: Lin Hong Academic Editor.
• Is Part Of: Behavioural neurology. Volume 2021(2021)
• Publication Date: 2021-11-03
• Subjects: Neuropsychology -- Periodicals; Neuropsychiatry -- Periodicals; Cognitive neuroscience -- Periodicals; 616.8005
• DOI: 10.1155/2021/4028761
• Languages: English
• ISSNs: 0953-4180

Abstract

Abstract : Patient behavioral analysis is the key factor for providing treatment to patients who may suffer from various difficulties including neurological disease, head trauma, and mental disease. Analyzing the patient's behavior helps in determining the root cause of the disease. In traditional healthcare, patient behavioral analysis has lots of challenges that were much more difficult. The patient behavior can be easily analyzed with the development of smart healthcare. Information technology plays a key role in understanding the concept of smart healthcare. A new generation of information technologies including IoT and cloud computing is used for changing the traditional healthcare system in all ways. Using Internet of Things in the healthcare institution enhances the effectiveness as well as makes it more personalized and convenient to the patients. The first thing that will be discussed in the article is the technologies that have been used to support the smart class, and further, there will be a discussion on the existing problems with the smart healthcare system and how these problems can be solved. This study can provide essential information about the role of smart healthcare and IoT in maintaining behavior of patent. Various biomarkers are maintained properly with the help of these technologies. This study can provide effective information about importance of smart health system. This smart healthcare is conducted with the involvement of proper architecture. This is treated as effective energy efficiency architecture. Artificial intelligence is used increasingly in healthcare to maintain diagnosis and other important factors of healthcare. This application is also used to maintain patient engagement, which is also included in this study. Major hardware components are also included in this technology such as CO sensor and CO2 sensor.