Deep Learning for Medical Decision Support Systems

Deep Learning for Medical Decision Support Systems

English | ISBN: 9811563241 | 2021 | 189 Pages | PDF | 7 MB

This book explores various applications of deep learning-oriented diagnosis leading to decision support, while also outlining the future face of medical decision support systems. Artificial intelligence has now become a ubiquitous aspect of modern life, and especially machine learning enjoysgreat popularity, since it offers techniques that are capable of learning from samples to solve newly encountered cases. Today, a recent form of machine learning, deep learning, is being widely used with large, complex quantities of data, because today's problems require detailed analyses of more data. This is critical, especially in fields such as medicine.

Accordingly, the objective of this book is to provide the essentials of and highlight recent applications of deep learning architectures for medical decision support systems. The target audience includes scientists, experts, MSc and PhD students, postdocs, and any readers interested in the subjectsdiscussed. The book canbe used as a reference work to support courses on artificial intelligence, machine/deep learning, medical and biomedicaleducation.


[Fast Download] Deep Learning for Medical Decision Support Systems

Related eBooks:
Raspberry Pi Robotic Blueprints
OCA/OCP Java SE 8 Programmer Certification Bundle (Exams 1Z0-808 and 1Z0-809)
Virtual, Augmented and Mixed Reality. Design and Interaction, Part1: 12th International Conference,
Augmented Cognition. Human Cognition and Behavior
Social Computing and Social Media. Design, Ethics, User Behavior, and Social Network Analysis: 12th
Human-Computer Interaction. Human Values and Quality of Life
Feynman Lectures on Computation
Excel 2010 Bible
Information Doesn't Want to Be Free: Laws for the Internet Age
High Temperature Corrosion
Orthogonal Frequency Division Multiplexing for Wireless Communications
Digital Watermarking
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.