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Artificial Intelligence for Information Management: A Healthcare Perspective (Studies in Big Data, 88)

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  • Дата: 2-06-2021, 19:05
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Artificial Intelligence for Information Management: A Healthcare Perspective (Studies in Big Data, 88)Название: Artificial Intelligence for Information Management: A Healthcare Perspective
Автор: K.G. Srinivasa, Siddesh G.M.
Издательство: Springer
Год: 2021
Страниц: 332
Язык: английский
Формат: pdf (true)
Размер: 11.5 MB

Discusses advancements in Artificial Intelligent and Machine Learning techniques.

This book discusses the advancements in Artificial Intelligent techniques used in the well-being of human healthcare. It details the techniques used in collection, storage and analysis of data and their usage in different healthcare solutions. It also discusses the techniques of predictive analysis in early diagnosis of critical diseases. The edited book is divided into four parts – part A discusses introduction to Artificial Intelligent and Machine Learning in healthcare; part B highlights different analytical techniques used in healthcare; part C provides various security and privacy mechanisms used in healthcare; and finally, part D exemplifies different tools used in visualization and data analytics.

Artificial Intelligence (AI) defines various procedures that allow the system to perform tasks more efficiently and effectively. With the advance in digitalization of data acquirement, AI techniques play a vital role in human healthcare and wellbeing organizations.

As the dataset is increasing day by day Machine Learning (ML) and Artificial Intelligence can generate productive results by incorporating different task at once and refining the previous results. These techniques can be used in collecting, storing, analysis, of different healthcare data, which differ in inpatient history to the diagnosis methods. Subsequently, it provides intelligent approaches to finding out the possible solutions in health care. Some of the areas where AI tools can be used include early finding & treatment of cardiology, stroke, diabetes, cancer, etc.

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