医学科学中的机器学习趋势

Q3 Medicine Koomesh Pub Date : 2018-08-01 DOI:10.1109/I-SMAC.2018.8653756
Vaishali Malpe, Prathamesh S. Tugaonkar
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引用次数: 4

摘要

机器学习正在统治世界,因为它对给定问题集的准确和及时的预测。机器学习被广泛用于健康监测,以降低死亡率和提高预期寿命。肾脏、胰腺等器官在生命的运行过程中受到高度影响。自过去十年以来,乳腺癌等癌症的数量有所增加。这导致在医学科学领域发明新技术,可以提供准确和及时的预测,以降低死亡率。本文对目前使用各种机器学习算法和大数据技术处理海量数据的研究进行了比较研究。
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Machine LearningTrends in Medical Sciences
Machine Learning is ruling the world due to its accuracy and timely predictions for the given set of problems. Machine Learning is highly used for health monitoring to reduce the mortality rate and enhance the life expectancy. Organs such as kidneys, pancreas are highly affected in the run of life. Cancers like breast cancer has shown increase in the count since last decade. This leads to invent new techniques in the field of medical sciences which can give accurate and timely predictions to reduce the mortality rate. This paper presents comparative study of the current research using various machine learning algorithms and big data techniques to handle huge volume of data.
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来源期刊
Koomesh
Koomesh Medicine-Medicine (all)
CiteScore
0.80
自引率
0.00%
发文量
0
审稿时长
24 weeks
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