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{ "item_title" : "Machine Learning and Analytics in Healthcare Systems", "item_author" : [" Himani Bansal", "Balamurugan Balusamy", "T. Poongodi "], "item_description" : "This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine. It will combine the design and problem-solving skills of engineering with health sciences, in order to advance healthcare treatment. The book will include areas such as diagnosis, monitoring, and therapy. The book will provide real-world case studies, gives a detailed exploration of applications in healthcare systems, offers multiple perspectives on a variety of disciplines, while also letting the reader know how to avoid some of the consequences of old methods with data sharing. The book can be used as a reference for practitioners, researchers and for students at basic and intermediary levels in Computer Science, Electronics and Communications.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/0/36/748/793/0367487934_b.jpg", "price_data" : { "retail_price" : "233.99", "online_price" : "233.99", "our_price" : "233.99", "club_price" : "233.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Machine Learning and Analytics in Healthcare Systems|Himani Bansal

Machine Learning and Analytics in Healthcare Systems : Principles and Applications

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Overview

This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine. It will combine the design and problem-solving skills of engineering with health sciences, in order to advance healthcare treatment. The book will include areas such as diagnosis, monitoring, and therapy.

The book will provide real-world case studies, gives a detailed exploration of applications in healthcare systems, offers multiple perspectives on a variety of disciplines, while also letting the reader know how to avoid some of the consequences of old methods with data sharing.

The book can be used as a reference for practitioners, researchers and for students at basic and intermediary levels in Computer Science, Electronics and Communications.

This item is Non-Returnable

Details

  • ISBN-13: 9780367487935
  • ISBN-10: 0367487934
  • Publisher: CRC Press
  • Publish Date: July 2021
  • Dimensions: 9.21 x 6.14 x 0.69 inches
  • Shipping Weight: 1.24 pounds
  • Page Count: 262

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