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{ "item_title" : "Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data", "item_author" : [" Akash Kumar Bhoi", "Victor Hugo Costa de Albuquerque", "Parvathaneni Naga Srinivasu "], "item_description" : "Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data discusses the insight of data processing applications in various domains through soft computing techniques and enormous advancements in the field. The book focuses on the cross-disciplinary mechanisms and ground-breaking research ideas on novel techniques and data processing approaches in handling structured and unstructured healthcare data. It also gives insight into various information-processing models and many memories associated with it while processing the information for forecasting future trends and decision making. This book is an excellent resource for researchers and professionals who work in the Healthcare Industry, Data Science, and Machine learning.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/0/32/385/751/0323857515_b.jpg", "price_data" : { "retail_price" : "130.00", "online_price" : "130.00", "our_price" : "130.00", "club_price" : "130.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data|Akash Kumar Bhoi

Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data

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Overview

Cognitive and Soft Computing Techniques for the Analysis of Healthcare Data discusses the insight of data processing applications in various domains through soft computing techniques and enormous advancements in the field.

The book focuses on the cross-disciplinary mechanisms and ground-breaking research ideas on novel techniques and data processing approaches in handling structured and unstructured healthcare data. It also gives insight into various information-processing models and many memories associated with it while processing the information for forecasting future trends and decision making.

This book is an excellent resource for researchers and professionals who work in the Healthcare Industry, Data Science, and Machine learning.

This item is Non-Returnable

Details

  • ISBN-13: 9780323857512
  • ISBN-10: 0323857515
  • Publisher: Academic Press
  • Publish Date: January 2022
  • Dimensions: 9.25 x 7.5 x 0.62 inches
  • Shipping Weight: 1.12 pounds
  • Page Count: 294

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