专家系统、机器学习和大数据的比较:综述

Maad M. Mijwil, Dhamyaa Salim Mutar, Y. Filali, Karan Aggarwal, Humam Al-Shahwani
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引用次数: 8

摘要

今天,人工智能科学已经成为创造模拟人类思维的智能计算机程序的最重要的科学之一。人工智能在医疗领域的目标是协助医生和医护人员进行疾病诊断和临床治疗,降低医疗错误率,挽救公民的生命。主要和广泛使用的技术是专家系统、机器学习和大数据。在本文中,将简要概述上述三种技术,以便读者更容易理解这些技术及其重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison between Expert Systems, Machine Learning, and Big Data: An Overview
Today, the science of artificial intelligence has become one of the most important sciences in creating intelligent computer programs that simulate the human mind. The goal of artificial intelligence in the medical field is to assist doctors and health care workers in diagnosing diseases and clinical treatment, reducing the rate of medical error, and saving lives of citizens. The main and widely used technologies are expert systems, machine learning and big data. In the article, a brief overview of the three mentioned techniques will be provided to make it easier for readers to understand these techniques and their importance.
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