Comparative analysis of various regularization techniques in the prediction of heart diseases

机译：心脏病预测中各种正则化技术的比较分析

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In the recent past it has been statistically proven that heart diseases are the largest contributing factor to the increase in mortality rate. Diagnosis of heart disease depends on a number of factors such as heart-rate, cholesterol levels, blood pressure, age and many other physiological factors. In most of the cases the diagnosis is done based on the experience and intuition of the doctor. This requires the doctor to be highly skilled and experienced in order to diagnose properly. It would be very helpful if we developed methods that could extract useful information from tonnes of clinical data. This paper reviews the L1/2 Logistic Regularization, Lasso, Elastic Net and Group Lasso regularization techniques, in order to select a subset of important features having the highest informative value in the prediction of heart diseases. Different regularization techniques select different subsets of features. This paper compares these techniques and finds out which is the most suitable method in the prediction of heart diseases.

机译：在最近的过去，已经统计证明心脏病是导致死亡率增加的最大因素。心脏病的诊断取决于许多因素，例如心率，胆固醇水平，血压，年龄和许多其他生理因素。在大多数情况下，诊断是根据医生的经验和直觉来完成的。这要求医生具有高超的技能和经验才能正确诊断。如果我们开发出可以从大量临床数据中提取有用信息的方法，将非常有帮助。本文回顾了L1 / 2 Logistic正则化，套索，弹性网和组套索正则化技术，以便选择在心脏病预测中具有最高信息价值的重要特征子集。不同的正则化技术选择特征的不同子集。本文对这些技术进行了比较，发现哪种方法最适合预测心脏病。

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《2017 International Conference on Inventive Computing and Informatics》|2017年|356-361|共6页
会议地点 Coimbatore(IN)
作者
Rashmi Burse; Rajesh Wadhvani;
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Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, M.P., India-462003;

Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, M.P., India-462003;

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正文语种 eng
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关键词
Heart; Diseases; Logistics; Computational modeling; Convergence; Conferences; Informatics;

机译：心脏;疾病;物流;计算模型;会聚;会议;信息学;;

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4. Comparative analysis of various regularization techniques in the prediction of heart diseases [C] . Rashmi Burse, Rajesh Wadhvani International Conference on Inventive Computing and Informatics . 2017

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机译：血管紧张素转换酶抑制剂或血管紧张素II受体阻滞剂的比较效果加入标准医学治疗治疗稳定的缺血性心脏病。执行摘要。比较效力评论第18号

Comparative analysis of various regularization techniques in the prediction of heart diseases

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