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A Network-Based Approach on Big Data for the Comorbidities of Urticaria

机译：基于网络的荨麻疹合并症大数据治疗方法

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This study investigates the network properties of urticaria comor-bidity. Comorbidities are the presence of one or more additional disorders or diseases that co-occur with a primary disease or disorder. The purpose of this study is to identify diseases that co-occur with urticaria. Research data was collected from 1,154,534 urticaria outpatient department medical records out of 163,141,270 outpatient department medical records from 1997 to 2010 in Taiwan. Through the phenotypic disease network (PDN), this study has identified the diseases that are associated with urticaria. It has been discovered that the PDN has a complex structure where some diseases are highly connected while others are barely connected at all. While not conclusive, these findings can explain that the more connected the diseases are, the higher the mortality rate is, as patients developing highly connected diseases are more likely to be diagnosed at an advanced stage of the disease, which can be reached through multiple paths in the PDN.
机译：这项研究调查了荨麻疹合并症的网络性质。合并症是与原发性疾病或病症同时发生的一种或多种其他疾病或病症的存在。这项研究的目的是确定与荨麻疹同时发生的疾病。研究数据收集自1997年至2010年台湾163,141,270例门诊病历中的1,154,534例荨麻疹门诊病历。通过表型疾病网络（PDN），本研究确定了与荨麻疹相关的疾病。已经发现，PDN具有复杂的结构，其中某些疾病高度相关，而其他疾病几乎完全不相关。尽管不是结论性的，但这些发现可以解释，疾病之间的联系越紧密，死亡率越高，因为发展为高度联系疾病的患者更有可能在疾病的晚期被诊断出，这可以通过多种途径实现在PDN中。

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