Document

A systematic review of clinical decision support systems in Alzheimer’s disease domain.

Identifier
DOI: 10.3991/ijoe.v17i08.23643
Source
International journal of online and biomedical engineering. v. 17, 8, p. 74-90
Contributors
Country
Austria.
Publisher
International Association of Online Engineering.
Gregorian
2021-01-01
Language
English
English abstract
Dementia is one of the major public health issues faced by the world. Alzheimer’s disease (AD) is the most common form of dementia targeting old age groups around the world. It is a neurodegenerative condition with memory loss as its early symptom. Unfortunately, there is no cure for this disease currently. So various research in the medical and technical fields are being conducted to help people with Alzheimer’s. Many studies focus on early diagnosis of Alzheimer’s disease using clinical decision support system (CDSS) so that the progression of the disease can be slowed down to a great extent. In this based Clinical decision support system for Alzheimer’s disease in Sultanate of Oman. A semantic knowledgebase (ontology) will be the core component of] our Clinical decision support system. The objective of this research paper is two-fold (a) review the medical aspects of Alzheimer’s disease, and (b) review the available clinical decision support system based on ontology, robotics, and mobile applications in Alzheimer domain. Research articles published during 2011-2020 in PubMed, Google scholar, Elsevier, SpringerLink and IEEE journals were reviewed. We found that there are various clinical decision support systems which can aid physicians in suggesting diagnosis, and treatment of Alzheimer’s disease.
ISSN
2626-8493
Category
Journal articles