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Titlebook: Artificial Intelligence in Healthcare Industry; Jyotismita Talukdar,Thipendra P. Singh,Basanta Bar Book 2023 The Editor(s) (if applicable)

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发表于 2025-3-21 16:23:37 | 显示全部楼层 |阅读模式
期刊全称Artificial Intelligence in Healthcare Industry
影响因子2023Jyotismita Talukdar,Thipendra P. Singh,Basanta Bar
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发行地址Presents the foundations and various methods of learning in AI including applications in healthcare industry.Provides insights into implementation, methods of evaluation, and accuracy prediction for h
学科分类Advanced Technologies and Societal Change
图书封面Titlebook: Artificial Intelligence in Healthcare Industry; Jyotismita Talukdar,Thipendra P. Singh,Basanta Bar Book 2023 The Editor(s) (if applicable)
影响因子This book presents a systematic evolution of artificial intelligence (AI), its applications, challenges and solutions in the field of healthcare. The book mainly covers the foundations and various methods of learning in artificial intelligence with its application in healthcare industry. This book provides a comprehensive introduction to data analysis using AI as a tool in the generation, normalization and analysis of healthcare data in association with several evaluation techniques and accuracy measurements. The book is divided into three major sections describing the basic foundations of AI and its associated algorithms, history of artificial intelligence in healthcare, recent developments and several modeling techniques for the same. The last section of the book provides insights into several implementations and methods of evaluation and accuracy prediction for healthcare analysis in AI. Extensive use of data for analysis and prediction using several technologies has transformed thelives of normal people indirectly effecting our process to communicate, learn, work and socialize within the society. Thus, the book also provides an insight into the ethics of AI that is very vital i
Pindex Book 2023
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Supervised Learning,el, the model’s weights are adjusted through a process called cross validation until the data fits the model well. Organizations can use supervised learning to find large-scale solutions to a wide range of real-world challenges, including spam classification and removal from inboxes.
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Methods of Machine Learning, they‘ve seen before. Machine learning is a collection of algorithms designed to process massive amounts of information. Algorithms are trained using data, and then use that training to create a model and carry out a task.
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Time-Series Analysis,s a prominent statistical tool. Simply said, a time series is a set of time-related data points that are organised in a particular sequence. These checks are often performed at set time intervals, like once per second, minute, or hour. It can also be done on a monthly, yearly, or even a daily basis.
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Robotic Process Automation: A Path to Intelligent Healthcare,adiology information systems, insurance portals, lab information systems, and third-party portals are all included. And it‘s a complex and time-consuming task to integrate the flow of information across all these channels. To make matters worse, most healthcare organisations still rely on human inte
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