eprintid: 4246
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/42/46
datestamp: 2023-11-09 16:15:54
lastmod: 2023-11-09 16:15:54
status_changed: 2023-11-09 15:58:00
type: conference_item
metadata_visibility: show
creators_name: Thangarasu, G.
creators_name: Dominic, P.D.D.
title: Prediction of hidden knowledge from Clinical Database using data mining techniques
ispublished: pub
keywords: Clinical research; Cluster analysis; Clustering algorithms; Database systems; Diagnosis; Forecasting; Fuzzy logic; Genetic algorithms; Neural networks, Clinical database; Data clustering; Diabetes diagnosis; Diagnostic decisions; Hidden knowledge; Hybrid genetic algorithms; Prediction methods, Data mining
note: cited By 9; Conference of 2014 International Conference on Computer and Information Sciences, ICCOINS 2014 ; Conference Date: 3 June 2014 Through 5 June 2014; Conference Code:112912
abstract: Clinical Database has enormous quantity of information about patients and their diseases. The database mainly contains clinical consultation details, family history, medical lab report and other information which are considered to taking a final diagnostic decision by physician. Clinical databases are widely utilized by the numerous researchers for predicting different diseases. The current diabetes diagnosis methods are carried out based on the impact of various medical test and the results of physical examination. The new and innovative prediction methods are projected in this research to identify the diabetic disease, its types and complications from the clinical database in an efficiently and an economically faster manner. © 2014 IEEE.
date: 2014
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938790845&doi=10.1109%2fICCOINS.2014.6868414&partnerID=40&md5=15d3a467507e96430feedde1d43f0b81
id_number: 10.1109/ICCOINS.2014.6868414
full_text_status: none
publication: 2014 International Conference on Computer and Information Sciences, ICCOINS 2014 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2014 - Proceedings
refereed: TRUE
isbn: 9781479943913
citation:   Thangarasu, G. and Dominic, P.D.D.  (2014) Prediction of hidden knowledge from Clinical Database using data mining techniques.  In: UNSPECIFIED.