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Artificial Intelligence and Machine Learning for Women's Health Issues
Meenu Gupta (Hrsg.), D. Jude Hemanth (Hrsg.)
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Sozialwissenschaften, Recht, Wirtschaft / Sozialwissenschaften allgemein
Description
Artificial Intelligence and Machine Learning for Women's Health Issues: Challenges, Impact, and Solutions discusses the applications, challenges, and solutions that machine learning can bring to women's health challenges. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning, which enhance the future healthcare system. This book's primary focus is on women's health issues and machine learning's role in providing solutions to these challenges, providing novel ideas for feasible implementation. It also provides an early-stage analysis for early diagnosis of women's health issues.Provides fundamental concepts and analysis of machine learning algorithms used to aid in the diagnosis of women's health issuesGuides researchers to specific ideas, tools, and practices most applicable to product/service development, innovation problems, and opportunitiesProvides hands-on chapters that describe frameworks, applications, best practices, and case studies of future directions of applied machine learning in women's healthcare
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