NDLI: Defining Quality-Measurable Medical Alerts From Incomplete Data Through Fuzzy Linguistic Variables and Modifiers

Content Provider	IEEE Xplore Digital Library
Author	Manzi de Arantes, W. Verdier, C.
Copyright Year	1997
Abstract	Alert systems are frequent in the medical field, where they are typically connected to monitoring devices that are able to detect abnormal values. Our system is different in its goals and tools. First of all, it processes data extracted from electronic medical records, which are widely used nowadays, and meteorological databases. Variables that are not continually measured by devices (like the age of patients) can then be taken into account. Next, the alerts it handles are not predefined, but created by users through domain-independent fuzzy linguistic variables whose relationships (the height of an individual is conditioned by its age) are modeled by a weighted oriented graph. Finally, the alerts it triggers are associated with two indicators used for filtering and assessing their relevance to the patients, and their reliability according to the amount of information available. Then, if there is a missing variable in a record, the detection algorithm treats it transparently by automatically decreasing the reliability of the alert. The main qualities of this system are the simplicity-linguistic variables are intuitive-and the ability to measure the informational quality of alerts (applicability and reliability).
Sponsorship	IEEE Engineering in Medicine and Biology Society IEEE Computer Society
Page Count	7
File Size	205758
Starting Page	916
Ending Page	922
File Format	PDF
ISSN	10897771
Volume Number	14
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy systems Meteorology Power system reliability Patient monitoring Biomedical monitoring Data mining Databases Information filtering Information filters Detection algorithms medical alerts Fuzzy logic incomplete data linguistic variables
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications Biotechnology

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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