menu
{ "item_title" : "Multimodal Deep Learning and Data-Centric Systems for Smart Healthcare and Clinical Decision Support", "item_author" : [" Manoj Diwakar", "Prabhishek Singh", "Sweta Sneha "], "item_description" : "Multimodal Deep Learning and Data-Centric Systems for Smart Healthcare and Clinical Decision Support examines how to fuse imaging, genomics, electronic health records, and wearable sensor data into clinically actionable insights. As healthcare data becomes increasingly diverse and voluminous, there is a pressing need for integrative methodologies that preserve information across modalities while maintaining interpretability and safety. Current resources either focus on single-modality AI or domain-specific applications, leaving practitioners with fragmented guidance. This volume defines a cohesive, data-centric framework for multimodal predictive diagnostics and clinical decision support, addressing methodological foundations, reproducible pipelines, and real-world translation challenges.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/0/44/351/640/0443516405_b.jpg", "price_data" : { "retail_price" : "200.00", "online_price" : "200.00", "our_price" : "200.00", "club_price" : "200.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Multimodal Deep Learning and Data-Centric Systems for Smart Healthcare and Clinical Decision Support|Manoj Diwakar

Multimodal Deep Learning and Data-Centric Systems for Smart Healthcare and Clinical Decision Support

PRE-ORDER NOW:
local_shippingShip to Me
Preorder. This item will be available on December 1, 2026 .
FREE Shipping for Club Members help

Overview

Multimodal Deep Learning and Data-Centric Systems for Smart Healthcare and Clinical Decision Support examines how to fuse imaging, genomics, electronic health records, and wearable sensor data into clinically actionable insights. As healthcare data becomes increasingly diverse and voluminous, there is a pressing need for integrative methodologies that preserve information across modalities while maintaining interpretability and safety. Current resources either focus on single-modality AI or domain-specific applications, leaving practitioners with fragmented guidance. This volume defines a cohesive, data-centric framework for multimodal predictive diagnostics and clinical decision support, addressing methodological foundations, reproducible pipelines, and real-world translation challenges.

This item is Non-Returnable

Details

  • ISBN-13: 9780443516405
  • ISBN-10: 0443516405
  • Publisher: Academic Press
  • Publish Date: December 2026
  • Page Count: 440

Related Categories

You May Also Like...

    1

BAM Customer Reviews