NDLI: Estimation of long-term vital status of patients after myocardial infarction using a neural network based on the Alopex algorithm

Content Provider	IEEE Xplore Digital Library
Author	Kostis, W.J. Chebg Yi Micheli-Tzanakou, E.
Copyright Year	1993
Description	Author affiliation: Dept. of Biomed. Eng., Rutgers Univ., Piscataway, NJ, USA (Kostis, W.J.; Chebg Yi; Micheli-Tzanakou, E.)
Abstract	A large database (Myocardial Infarction Data Acquisition System, or MIDAS) including all 49,250 myocardial infarctions that occurred in the state of New Jersey in 1986 and 1987 with follow-up as long as five years was used in the development and testing of the neural networks. Since the information included in the database was not sufficient to allow the exact prediction of vital status in all patients with 100% accuracy, a neural network able to categorize patients according to the probability of dying within a given period of time rather than predicting categorically whether a given patient will be dead or alive at a given time in the future was developed. An algorithm to accommodate cases where identical input vectors were associated with different outputs (vital status) and a method of linear output adjustment to describe the degree of confidence of each prediction were also developed. The neural network was able to learn and was successful in predicting vital status at six months.<>
Starting Page	99
Ending Page	100
File Size	233938
Page Count	2
File Format	PDF
ISBN	0780309251
DOI	10.1109/NEBC.1993.404401
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-03-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Myocardium Neural networks Databases Biological neural networks Artificial neural networks Neurons Liver diseases Biomedical engineering Data acquisition System testing
Content Type	Text
Resource Type	Article

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