Development of UMLS Based Health Care Web Services for Android Platform
Nareena Soomro, Safeeulah Soomro, Zainab Alansari, Suhni Abbasi,, Mohammad Riyaz Belgaum, Abdul Baqi Khakwani

TL;DR
This paper presents the development and evaluation of Android-based UMLS web services aimed at improving healthcare information retrieval efficiency and user interaction on portable devices.
Contribution
It introduces a novel Android web service system leveraging UMLS for healthcare, demonstrating enhanced performance and usability over existing solutions.
Findings
The system retrieves pertinent healthcare information more effectively than syntactic searches.
Users found the prototype easier to understand and interact with.
Performance evaluation shows the system is convenient and user-friendly.
Abstract
In this fast developing world of information, the amount of medical knowledge is rising at an exponential level. The UMLS (Unified Medical Language Systems), is rich knowledge base consisting files and software that provides many health and biomedical vocabularies and standards. A Web service is a web solution to facilitate machine-to-machine interaction over a network. Few UMLS web services are currently available for portable devices, but most of them lack in efficiency and performance. It is proposed to develop Android-based web services for healthcare systems underlying rich knowledge source of UMLS. The experimental evaluation was made to analyse the efficiency and performance effect with and without using the designed prototype. The understand-ability and interaction with the prototype were greater than those who used the alternate sources to obtain the answers to their questions.…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMobile Health and mHealth Applications · Artificial Intelligence in Healthcare
