Unravelling AI and Machine Learning Essentials in Alzheimer's Research

Author:

V. Saravanan1ORCID,Kalangi Ruth Ramya2,Thangavel Saravanan3,K. Venkata Ramana4

Affiliation:

1. Dambi Dollo University, Ethiopia

2. Koneru Lakshmaiah Education Foundation, India

3. M. Kumarasamy College of Engineering (Autonomous), India

4. QIS College of Engineering and Technology, India

Abstract

Artificial intelligence (AI) and system mastering (ML) have received a good-sized interest in Alzheimer's studies due to their capability to enhance prognosis and treatment. But a comprehensive know-how of these technologies and their software in Alzheimer's studies remains lacking. This review objectives to resolve the essentials of AI and ML in Alzheimer's studies, highlighting their capacity effect on sickness development and control. The results outline the modern-day nation of AI and ML use in Alzheimer's research and the challenges in their implementation, providing a foundation for additional improvements in this subject. The field of Alzheimer's studies has been greatly impacted by way of the fast improvement of artificial intelligence (AI) and system studying (ML) techniques. With a growing quantity of records being generated in this discipline and the need for more accurate predictions and remedies, AI and ML have come to be crucial gear for unraveling the complexities of Alzheimer's disease.

Publisher

IGI Global

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3