逻辑斯谛回归算法在医疗领域的应用——肝病筛查
|
摘要
近年来,随着我国科技水平不断上升,各领域数据量以指数级别增加,传统的统计方法已不能满足现代人们的需要,如何在大规模的数据里面挖掘有用的信息,分析预测新的数据,成为各行各业所研究的问题,医学领域也是如此。随着医疗领域的快速发展,机器学习与医疗结合的方法应运而生,它是处理海量数据有效的方法。本研究即利用逻辑斯谛回归机器学习算法来分析肝脏医疗数据,从而建立机器学习模型,最终用该模型对患者类别进行预测,实现人工智能在线辅助肝病诊断,从而提高肝病筛查预测的准确性和实时性。
In recent years, with the continuous improvement of China's science and technology, the amount of data in various fields has increased exponentially. Traditional statistical methods can no longer meet the needs of people. How to find useful information in large-scale data becomes a problem for all walks of life. With the rapid development of the medical field, a combination of machine learning and medical care has emerged. In this study, the logistic regression algorithm is used to analyze the liver medical data and establish a machine learning model.The study achieves the intelligent liver disease diagnosis, improving the accuracy and efficiency of liver disease screening prediction.
In recent years, with the continuous improvement of China's science and technology, the amount of data in various fields has increased exponentially. Traditional statistical methods can no longer meet the needs of people. How to find useful information in large-scale data becomes a problem for all walks of life. With the rapid development of the medical field, a combination of machine learning and medical care has emerged. In this study, the logistic regression algorithm is used to analyze the liver medical data and establish a machine learning model.The study achieves the intelligent liver disease diagnosis, improving the accuracy and efficiency of liver disease screening prediction.
引文
[1]周志华.机器学习[M].北京:清华大学出版社,2016.
[2]李航.统计学习方法[M].北京:清华大学出版社,2012.
[2]李航.统计学习方法[M].北京:清华大学出版社,2012.