Intelligent Systems and Inflammatory Bowel Disease: Exploring the Potential for Outpatient Support

Date

2017-07-18

Advisors

Journal Title

Journal ISSN

ISSN

Volume Title

Publisher

IEEE

Type

Conference

Peer reviewed

Yes

Abstract

Artificial Intelligence (AI) and Machine Learning (ML) have shown great promise in the field of medicine and healthcare. This paper seeks to understand how AI and ML have been applied to the realm of patient care within the context of chronic disease, with a specific focus on Inflammatory Bowel Disease (IBD). First we present an overview of IBD, highlighting the nature of the disease and some of the challenges the various stakeholders face within the framework of outpatient care. Then we outline the current state of research into the application of AI and ML in general clinical care and in relation to IBD. After which we explore how both AI and ML have been utilized to help with the outpatient treatment of chronic illnesses which share similar challenges to that of IBD, such as Diabetes, mental health conditions and Parkinson ’s disease, so as to gain precedent into how similar techniques may be used to assist in IBD outpatient support. Finally, we discuss the work that has passed and explore the prospect of future research into the field.

Description

Keywords

Citation

Al-Shamma, N. and Jwaid, A. (2017) Intelligent systems and inflammatory bowel disease: Exploring the potential for outpatient support. In: 2017 Computing Conference (pp. 121-126). IEEE.

Rights

Research Institute

Cyber Technology Institute (CTI)