menu
{ "item_title" : "Artificial Intelligence and Computational Dynamics for Biomedical Research", "item_author" : [" Ankur Saxena", "Nicolas Brault "], "item_description" : "THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSISBy focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/3/11/076/199/3110761998_b.jpg", "price_data" : { "retail_price" : "182.99", "online_price" : "182.99", "our_price" : "182.99", "club_price" : "182.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Artificial Intelligence and Computational Dynamics for Biomedical Research|Ankur Saxena

Artificial Intelligence and Computational Dynamics for Biomedical Research

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS
By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.

This item is Non-Returnable

Details

  • ISBN-13: 9783110761993
  • ISBN-10: 3110761998
  • Publisher: de Gruyter
  • Publish Date: November 2022
  • Dimensions: 9.61 x 6.69 x 0.69 inches
  • Shipping Weight: 1.49 pounds
  • Page Count: 298

Related Categories

You May Also Like...

    1

BAM Customer Reviews