Introducción al machine learning en Senología

IF 0.3 Q4 OBSTETRICS & GYNECOLOGY
Eduardo Alcobilla Ferrara
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引用次数: 0

Abstract

Machine Learning or Statistical Learning is a concept belonging to the field of Computer Science that refers to the ability of machines to build mathematical models with high predictive efficiency from large data packages through a series of tools based on Statistics, Algorithmics and recursion, and to improve them as new information is incorporated.

Although in the field of breast disorders there are already various projects mainly oriented to the interpretation of images in both Radiology and Pathology, the systematic use of this technology as a source of acquiring new knowledge is still exceptional, particularly with regard to clinical-therapeutic decision-making. All the specialists involved in the field of breast disorders are obliged to familiarize ourselves with this methodology, in order to properly direct it away from its use for profit, especially when the successes achieved in other social spheres allow us to intuit that its implementation in Medicine can not only be useful but unavoidable.

机器学习导论
机器学习或统计学习是属于计算机科学领域的一个概念,是指机器通过基于统计学、算法和递归的一系列工具,从大数据包中构建具有高预测效率的数学模型,并随着新信息的加入而对其进行改进的能力。虽然在乳腺疾病领域已经有各种主要面向放射学和病理学图像解释的项目,但系统地使用这项技术作为获取新知识的来源仍然是例外,特别是在临床治疗决策方面。乳房疾病领域的所有专家都有义务熟悉这种方法,以便适当地指导它,避免将其用于营利,特别是当在其他社会领域取得的成功使我们能够凭直觉认识到,在医学中实施这种方法不仅有用,而且不可避免。
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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来源期刊
Revista de Senologia y Patologia Mamaria
Revista de Senologia y Patologia Mamaria Medicine-Obstetrics and Gynecology
CiteScore
0.30
自引率
0.00%
发文量
74
审稿时长
63 days
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