使用机器学习方法，利用真实世界的数据开发预测性精准医疗模型

IF 1.2 4区数学 Q2 STATISTICS & PROBABILITY

Journal of Applied Statistics Pub Date : 2024-02-13 DOI:10.1080/02664763.2024.2315451

Panagiotis C. Theocharopoulos, Sotiris Bersimis, Spiros V. Georgakopoulos, Antonis Karaminas, Sotiris K. Tasoulis, Vassilis P. Plagianakos

引用次数: 0

摘要

计算医学包括将统计机器学习和人工智能方法应用于几种传统医学方法，其中包括生化测试，而生化测试则是一种新的医学方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Developing predictive precision medicine models by exploiting real-world data using machine learning methods

Computational Medicine encompasses the application of Statistical Machine Learning and Artificial Intelligence methods on several traditional medical approaches, including biochemical testing which...

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来源期刊

Journal of Applied Statistics 数学-统计学与概率论

CiteScore

3.40

自引率

0.00%

发文量

126

审稿时长

6 months

期刊介绍： Journal of Applied Statistics provides a forum for communication between both applied statisticians and users of applied statistical techniques across a wide range of disciplines. These areas include business, computing, economics, ecology, education, management, medicine, operational research and sociology, but papers from other areas are also considered. The editorial policy is to publish rigorous but clear and accessible papers on applied techniques. Purely theoretical papers are avoided but those on theoretical developments which clearly demonstrate significant applied potential are welcomed. Each paper is submitted to at least two independent referees.