人工智能在医疗健康领域的重点在于糖尿病、高血压和抑郁症的管理。

English | 2024 | ISBN: 9781003522096 | 331 pages | True PDF,EPUB | 10.54 MB

This book presents state-of-the-art research works for a better understanding of the advantages and limitations of AI techniques in the field of healthcare. It will further discuss artificial intelligence applications in depression, hypertension and diabetes management. The text also presents an artificial intelligence chatbot for depression, diabetes, and hypertension self-help.

This book

Provides a structured overview of recent developments of artificial intelligence applications in the healthcare sector. Presents an in-depth understanding of how artificial intelligence techniques can be applied to diabetes management. Showcases supervised learning techniques based on datasets for depression management. Discusses artificial intelligence chatbot for diabetes, depression, and hypertension self-care. Highlights the importance of artificial intelligence in managing and predicting diabetes, hypertension, and depression. The text is primarily written for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.

这本书介绍了人工智能技术在医疗领域优势和局限性方面的最新研究成果，以更好地理解AI技术的优势与限制。它还将进一步讨论人工智能应用于抑郁症、高血压和糖尿病管理的应用。本书还介绍了一种用于自我帮助的抑郁症、糖尿病和高血压的人工智能聊天机器人。 这本书 提供了一个关于最近医疗领域人工智能应用发展的结构化概述。 展示了如何将人工智能技术应用于糖尿病管理中的深入理解。 介绍了基于数据集展示监督学习技术来提高抑郁症管理效果。 讨论了用于糖尿病、抑郁症和高血压自我护理的人工智能聊天机器人的应用。 强调了在管理和预测糖尿病、高血压和抑郁症方面，人工智能的重要性。 本书的主要读者群是来自电气工程、电子与通信工程、计算机科学与工程以及生物医学工程等不同领域的高级本科生、研究生及学术研究人员。

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