Advanced Data Analytics in Health

Häftad, Engelska, 2019

AvPhilippe J. Giabbanelli,Vijay K. Mago,Elpiniki I. Papageorgiou

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This book introduces readers to the methods, types of data, and scale of analysis used in the context of health. Methods include thorough case studies from statistics, as well as the newest facets of data analytics: data visualization, modeling and simulation, and machine learning.

Produktinformation

Utgivningsdatum2019-01-30
Mått155 x 235 x 13 mm
Vikt359 g
FormatHäftad
SpråkEngelska
SerieSmart Innovation, Systems and Technologies
Antal sidor216
FörlagSpringer Nature Switzerland AG
ISBN9783030085711

Tillhör följande kategorier

Informationsteknik: allmänt inom Data och it
Medicinsk utrustning och medicinska tekniker inom Medicin
Artificiell intelligens inom Data och it
Affärsförhandlingar inom Ekonomi och ledarskap
Databaser inom Data och it
Tillämpad datateknik inom Data och it

Dimensionality Reduction for Exploratory Data Analysis in Daily Medical Research.- Navigating Complex Systems for Policymaking using Simple Software Tools.- An Agent-based Model of Healthy Eating with Applications to Hypertension.- Young Adults, Health Insurance Expansions and Hospital Services Utilization.- The Impact of Patient Incentives on Comprehensive Diabetes Care Services and Medical Expenditures.- Challenges and Cases of Genomic Data Integration Across Technologies and Biological Scales.

“Organized and structured in a balanced way, chapters can be read independently based on the reader’s interests. Broad in its coverage with thorough literature reviews in each chapter, the book is a good starting point not only for medical practitioners and policy makers, but also for engineers, data scientists, and scholars interested in developing data-based conclusions in the healthcare domain.” (Mariana Damova, Computing Reviews, December, 2018)