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Probabilistic analysis of coughs in pigs to diagnose respiratory infections

机译:猪咳嗽诊断呼吸道感染的概率分析

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摘要

In Germany alone, respiratory infections in pigs fattening farms cause losses of millions of Euros. These economic losses are attributed less to total losses due to the death of pigs, but much more to costs for treatment and indirect costs caused by diminished mast und breeding results. The earlier infected animals are detected, the more promising treatments and means to reduce the risk of infection are. Therefore it is necessary to distinguish between coughs from healthy pigs, simple throat cleaning, and coughs by infected pigs. This paper shows that this is automatically possible, and that even the kind of infection can be distinguished. Methods and procedures applied are mainly adapted from those which successfully have been proved in human speech recognition.
机译:仅在德国,给育肥猪场的呼吸道感染造成的损失就达数百万欧元。这些经济损失归因于因猪死亡而造成的总损失,而归因于肥育和育种结果减少而引起的治疗费用和间接费用。发现感染动物越早,减少感染风险的治疗方法和手段就越有前途。因此,有必要区分健康猪的咳嗽,简单的喉咙清洁和感染猪的咳嗽。本文表明这是自动可能的,甚至可以区分感染的类型。所采用的方法和程序主要是从已经在人类语音识别中成功证明的方法和程序改编而来。

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