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{ "item_title" : "Data-Driven Approach for Bio-Medical and Healthcare", "item_author" : [" Nilanjan Dey "], "item_description" : "The book presents current research advances, both academic and industrial, in machine learning, artificial intelligence, and data analytics for biomedical and healthcare applications. The book deals with key challenges associated with biomedical data analysis including higher dimensions, class imbalances, smaller database sizes, etc. It also highlights development of novel pattern recognition and machine learning methods specific to medical and genomic data, which is extremely necessary but highly challenging. The book will be useful for healthcare professionals who have access to interesting data sources but lack the expertise to use data mining effectively. ", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/81/195/183/9811951837_b.jpg", "price_data" : { "retail_price" : "199.99", "online_price" : "199.99", "our_price" : "199.99", "club_price" : "199.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Data-Driven Approach for Bio-Medical and Healthcare|Nilanjan Dey

Data-Driven Approach for Bio-Medical and Healthcare

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Overview

The book presents current research advances, both academic and industrial, in machine learning, artificial intelligence, and data analytics for biomedical and healthcare applications. The book deals with key challenges associated with biomedical data analysis including higher dimensions, class imbalances, smaller database sizes, etc. It also highlights development of novel pattern recognition and machine learning methods specific to medical and genomic data, which is extremely necessary but highly challenging. The book will be useful for healthcare professionals who have access to interesting data sources but lack the expertise to use data mining effectively.

This item is Non-Returnable

Details

  • ISBN-13: 9789811951831
  • ISBN-10: 9811951837
  • Publisher: Springer
  • Publish Date: October 2022
  • Dimensions: 9.29 x 6.22 x 0.71 inches
  • Shipping Weight: 1.25 pounds
  • Page Count: 233

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