Clinical decision support system for early diagnosis and intervention in multiple sclerosis Online publication date: Tue, 19-Apr-2022
by Jojy Cheriyan; Dinesh P. Mital; Shankar Srinivasan; Riddhi Vyas
International Journal of Medical Engineering and Informatics (IJMEI), Vol. 14, No. 3, 2022
Abstract: Multiple sclerosis is one of the most common neurological disorders causing disability among young adults in North America and Europe. It is an incurable and non-communicable disease, debilitated by physical and mental impairments. Recently the incidence of MS reported in the USA doubled, compared to the past estimates. The average period to diagnose MS still ranges from six months to three years despite all advances in diagnostics and therapeutics. Studies suggest that early diagnosis and intervention can delay the progression of the disease and improve the quality of life. We have done a review of literature followed by a quasi-experimental approach to collect quantifiable predictors and analyse the trending incidence of MS in the USA. We conclude that no CDSS exists to date to diagnose MS early. Predictors are available to design a clinical decision support tool for multiple sclerosis that can help clinicians in the early diagnosis and intervention.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Medical Engineering and Informatics (IJMEI):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook