将深度学习技术应用于医疗保健系统改进

2023 Second International Conference on Electronics and Renewable Systems (ICEARS) Pub Date : 2023-03-02 DOI:10.1109/ICEARS56392.2023.10085499

Harmeet Kaur Kochhar, Mrudula Kilaru, N. Aljohani, Himanshu Rai Goyal, Devendra Singh, DilipKumar Jang Bahadur Saini

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引用次数: 0

摘要

人工智能(AI)有可能改变临床决策和辅助。无论如何，当前人工智能方法的使用仍然只是作为做出临床决策的辅助解决方案。现有的方法无法进行深入的分析以提供准确的预测。本研究从数据私密性、异质性和可解释性三个方面，回顾了医疗行业自动化技术的整合。对于有意将信息科学方法应用于其研究领域的医学从业者来说，这篇综述将是一个有用的资源。

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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Implementing Deep Learning Techniques into Healthcare System Improvement

Artificial intelligence (AI) has the potential to transform clinical decision-making and assistance. In any case, the utilization of current AI methods remains only as a supportive solution to make clinical decisions. The existing methodologies fail to perform in-depth analysis to deliver accurate predictions. This study reviews the integration of advanced technologies AutoML in healthcare sector by considering the data privacy, heterogeneity and interpretability. This review will be a useful resource for medical practitioners interested in applying information science methods to their field of study.

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2023 Second International Conference on Electronics and Renewable Systems (ICEARS)

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