Swarm intelligence and data mining: a review of literature and applications in healthcare

N. Nayar, S. Ahuja, Shaily Jain
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引用次数: 9

Abstract

Healthcare industry is evolving at a rapid pace across the world. Substantial amount of heterogeneous data is generated by healthcare industry. It is crucial for healthcare industries to attain, accumulate and mine the data in an effective manner. Thus, data mining can provide enormous opportunities for diagnosis, prediction and essential treatment. Data mining plays imperative role in the medical domain that facilitates the systems to analyze the massive data, so that finest practices can be applied for further research and evaluating the patients' reports. This paper explores various applications that employ Swarm Intelligence with data mining in healthcare in terms of methods and results obtained. Swarm Intelligence algorithms have been used for prognosis of major diseases like cancer, heart diseases, tumors, and cardiology. The Swarm Intelligence approaches have been applied in the areas of disease diagnosis and treatment.
群体智能和数据挖掘:文献综述及其在医疗保健中的应用
全球医疗保健行业正在快速发展。医疗保健行业产生了大量异构数据。以有效的方式获取、积累和挖掘数据对于医疗保健行业至关重要。因此,数据挖掘可以为诊断、预测和基本治疗提供巨大的机会。数据挖掘在医学领域发挥着至关重要的作用,它有助于系统对海量数据进行分析,从而为进一步研究和评估患者报告提供最好的实践。本文从方法和获得的结果方面探讨了在医疗保健中使用群智能和数据挖掘的各种应用。群体智能算法已被用于癌症、心脏病、肿瘤和心脏病等重大疾病的预后。群体智能方法已被应用于疾病诊断和治疗领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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