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首页> 外文会议>2017 International Conference on Inventive Computing and Informatics >Risk factors based classification for accurate prediction of the Preterm Birth
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Risk factors based classification for accurate prediction of the Preterm Birth

机译：基于风险因素的分类可准确预测早产

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With the advent of technological advances in the healthcare industry, predicting the labor-related complications becomes an important aspect in Gynecology and Obstetrics. It is a proactive way of preparing the patients mentally for facing any unforeseen situations which may arise due to these complications. The earlier the complications if any are detected; it is easier to prescribe the medication and the treatment to overcome the complications. Preterm Birth (PTB) is one such complication which needs a special attention and medication so that a possible PTB can be converted to a normal birth. Unfortunately, the clinical procedures like Ultrasound Scan and Swab test cannot reveal any major indicators of PTB and hence the number of spontaneous PTBs is increasing continuously. Between 1981 and 2008, PTB has increased from 9.4% to 12.3%. This is an increase of 36% in less than two decades. Hence there is a need to predict the PTB well in advance so that it helps the healthcare professionals to make decisions about the treatment. Subsequently, the expectant mother undergoes minimal or no complications of preterm labor. On the other hand, it also helps to avoid unnecessary hospitalization and treatment for women who are having a false labor pain. This study predicts the PTB by analyzing the historical data of patients who had either preterm or term birth. The results from this study show that PTB can be predicted with an accuracy of more than 98% using stacked generalization. The proposed approach helps the physicists in Gynecology and Obstetrics departments to accurately predict the PTB. Based on the prediction, the decision about the treatment to be rendered to the expectant mother to delay the birth is made on time. This, in turn, can reduce the mortality of babies due to preterm birth.
机译：随着医疗保健行业技术进步的到来，预测与劳动有关的并发症已成为妇产科的重要方面。这是一种积极主动的方法，可以使患者做好心理准备，以应对可能因这些并发症而引起的任何不可预见的情况。较早发现并发症（如果有）；开处方药和治疗方法以克服并发症更容易。早产（PTB）是一种这样的并发症，需要特别注意和用药，以便将可能的PTB转换为正常出生。不幸的是，诸如超声波扫描和拭子测试之类的临床程序无法揭示任何PTB的主要指标，因此自发性PTB的数量正在不断增加。在1981年到2008年之间，PTB从9.4％上升到12.3％。在不到二十年的时间里增长了36％。因此，有必要提前对PTB进行预测，以帮助医疗保健专业人员做出有关治疗的决策。随后，准妈妈的早产并发症很少或没有。另一方面，它也有助于避免因虚假产程疼痛的妇女而不必要的住院和治疗。这项研究通过分析早产或足月分娩患者的历史数据来预测PTB。这项研究的结果表明，使用叠加泛化可以预测PTB的准确性超过98％。所提出的方法可帮助妇产科的物理学家准确预测PTB。基于该预测，准时决定要给予孕妇的治疗以延迟生育。反过来，这可以降低早产引起的婴儿死亡率。

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