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{ "item_title" : "Machine Learning for Healthcare", "item_author" : [" Rasit Dinc "], "item_description" : "Authored by a leading voice in the field, Machine Learning for Healthcare provides a gateway to revolutionize the understanding of medicine and patient care. The book unlocks the secrets of clinical data, harnessing the power of machine learning to diagnose diseases with unprecedented accuracy, and predicting patient outcomes with confidence. From the intricacies of disease progression to the human factors shaping healthcare delivery, each chapter is a testament to the transformative potential of AI in medicine. Readers include anyone passionate about the intersection of technology and human well-being from healthcare professionals eager to stay ahead of the curve, to bystanders.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/83/628/147/1836281471_b.jpg", "price_data" : { "retail_price" : "43.99", "online_price" : "43.99", "our_price" : "43.99", "club_price" : "43.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Machine Learning for Healthcare|Rasit Dinc

Machine Learning for Healthcare

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Overview

Authored by a leading voice in the field, Machine Learning for Healthcare provides a gateway to revolutionize the understanding of medicine and patient care. The book unlocks the secrets of clinical data, harnessing the power of machine learning to diagnose diseases with unprecedented accuracy, and predicting patient outcomes with confidence. From the intricacies of disease progression to the human factors shaping healthcare delivery, each chapter is a testament to the transformative potential of AI in medicine. Readers include anyone passionate about the intersection of technology and human well-being from healthcare professionals eager to stay ahead of the curve, to bystanders.

This item is Non-Returnable

Details

  • ISBN-13: 9781836281474
  • ISBN-10: 1836281471
  • Publisher: Troubador Publishing
  • Publish Date: January 2025
  • Dimensions: 10 x 8 x 1 inches
  • Shipping Weight: 2.15 pounds
  • Page Count: 496

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