TY  - EJOU
AU  - Murty, U.Suryanarayana  
AU  - Rao, V.Sreehari  

TI  - VB Classif 1.0 a Novel Tool to Classify the Epidemiological Data of Vector Borne Diseases
T2  - The International Conference on Computational \& Experimental Engineering and Sciences

PY  - 2008
VL  - 5
IS  - 2
SN  - 1933-2815

AB  - Artificial intelligence has opened a new window of opportunity and has definitely a long way to look ahead in\nobreakspace {}area of data analysis. The enormity of magnitude of data and its complex nature often perplex the epidemiologists. This is especially true in case of vector borne diseases where a timely and precise understanding of disease during decision making process comes handy for curbing the diseases in event of an outbreak or epidemic. Often the public health officials feel the need of correct identification of true positive cases. A tool that classify disease according to presence or absence of a disease will help in devising a clear strategy in mass drug administration programmes and will help us in proper targeting of patients and in efficient use of resources. Available and well known statistical tools tend to settle for a compromise among accuracy, speed and efficiency. Interactive Classification tools supported by AI (Artificial Intelligence) like VB Classif 1.0 will definitely pave way for more efficient disease control and help epidemiologists in finding quick solution to classification problems.
KW  - 

DO  - 10.3970/icces.2008.005.121