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Searching of Correlation of Weather and Cardiologic Events Computer Methods for Relation Discovery and Events Prediction

机译:寻找天气和心脏病事件的相关性计算机方法与事件预测

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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.
机译:本文介绍了我们最近关于发现天气事件与医疗(心脏病学)活动和趋势之间的相关性的研究。这种相关性是直观的,但不存在固体证据。调查了这种相关性,但大多数情况下它驱动得出的结论,在大的时间内看到差异(例如年季节,例如冬季)。我们正试图展示,这种相关性在更短的时间(或几天)具有不寻常的天气行为的情况下可见。我们检查标准统计方法,先进的事件和趋势检测方法和神经网络(自组织地图)使用。根据天气预报,我们提出了医疗事件频率增加预测的基本方案。

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