Nonlinear System Identification Method Based on Improved Deep Belief Network

Man, Yang; Liu, Ding; Zhao, Xiaoguo

doi:10.1109/cac.2018.8623373

Cited by 2 publications

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The major purpose of CAD is to give machine output for the clinician to aid in image interpretation by improving clinical radioactivity outcomes and clarification while also lowering the amount of time necessary to view the picture. Because CAD may be applied to all imaging methods, locations, and tests this fascinating feature of digital image processing will likely have a large impact on medical imaging and diagnostics in the next decades [16]. This paper is organized as follows: Section II explains the Related Work of nursing to elders and techniques regarding Deep Belief Networks.…”

Section: Introductionmentioning

confidence: 99%

Virtual Nursing Using Deep Belief Networks for Elderly People (DBN-EP)

Rajasekaran¹,

Kousalya²

2022

Computer Systems Science and Engineering

View full text Add to dashboard Cite

The demand for better health services has resulted in the advancement of remote monitoring health, i.e., virtual nursing systems, to watch and support the elderly with innovative concepts such as being patient-centric, easier to use, and having smarter interactions and more accurate conclusions. While virtual nursing services attempt to provide consumers and medical practitioners with continuous medical and health monitoring services, access to allied healthcare experts such as nurses remains a challenge. In this research, we present Virtual Nursing Using Deep Belief Networks for Elderly People (DBN-EP), a new framework that provides a virtual nurse agent deployed on a senior citizen's home, workplace, or care centre to help manage their health condition on a continuous basis. Using this method, healthcare providers can assign various jobs to nurses by utilizing a general task definition mechanism, in which a task is defined as a combination of medical workflow, operational guidelines, and data gathered from a remotely monitored virtual nursing system. Practitioners are in charge of DBN-EP and make treatment decisions for patients. This allows a DBN-EP to act as a personalized full-time nurse for a client by carrying out practitioner support activities based on information gathered about the client's health. An electronic Personal Health Record (ePHR) system, such as a specialized web portal and mobile apps, could provide such patient information to elderly person family members and care centres. We created a prototype system using a DBN-EP system that allows traditional client applications and healthcare provider systems to collaborate. Finally, we demonstrate how this system may benefit the elderly through a result and debate.

show abstract

Section: Introductionmentioning

confidence: 99%