Authors:
Błażej Zyglarski
1
;
Piotr Bała
2
and
Jeremi Mizerski
2
Affiliations:
1
Nicolaus Copernicus University, Poland
;
2
Warsaw University, Poland
Keyword(s):
Weather Influence, Cardiologic Events, Prediction, Events and Trends Detection, Self Organizing Maps.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Business Analytics
;
Data Engineering
;
Data Mining
;
Databases and Information Systems Integration
;
Datamining
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Ontologies and the Semantic Web
;
Pattern Recognition and Machine Learning
;
Sensor Networks
;
Signal Processing
;
Society, e-Business and e-Government
;
Soft Computing
;
Web Information Systems and Technologies
Abstract:
This paper presents our recent research on finding correlation between weather events and medical (cardiologic) events and trends. Such correlation is intuitive, however no solid proof exists. Such correlation was investigated, but it most cases it drives to conclusion that differences are visible in large periods of time (like year seasons, winter for example). We are trying to show, that such correlation is visible in much shorter time periods (as couple of days) with unusual weather behaviour). We examine standard statistical methods, advanced events and trend detection methods and neural networks (self organizing maps) usage. We propose basic scenarios for medical events frequency increase prediction, according to weather forecasts.