Intelligent Biomedical Data Analysis Ser.: Artificial Intelligence for Data-Driven Medical Diagnosis by Utku Kose (2021, Hardcover)

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About this product

Product Identifiers

PublisherDE Gruyter Gmbh, Walter
ISBN-103110667819
ISBN-139783110667813
eBay Product ID (ePID)4050409036

Product Key Features

Number of Pages326 Pages
Publication NameArtificial Intelligence for Data-Driven Medical Diagnosis
LanguageEnglish
Publication Year2021
SubjectIntelligence (Ai) & Semantics, Computer Science, General, Computer Vision & Pattern Recognition
TypeTextbook
AuthorUtku KOSÉ
Subject AreaComputers, Medical
SeriesIntelligent Biomedical Data Analysis Ser.
FormatHardcover

Dimensions

Item Weight24.1 Oz
Item Length6.7 in
Item Width9.4 in

Additional Product Features

Intended AudienceScholarly & Professional
LCCN2020-946995
Dewey Edition23/eng/20230216
Grade FromCollege Graduate Student
Series Volume Number3
IllustratedYes
Dewey Decimal610.28563
Grade ToCollege Graduate Student
SynopsisThis book collects research works of data-driven medical diagnosis done via Artificial Intelligence based solutions, such as Machine Learning, Deep Learning and Intelligent Optimization. Physical devices powered with Artificial Intelligence are gaining importance in diagnosis and healthcare. Medical data from different sources can also be analyzed via Artificial Intelligence techniques for more effective results., 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.
LC Classification NumberR858
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