Advanced Data Analytics in Health

This book introduces readers to the methods, types of data, and scale of analysis used in the context of health. The challenges of working with big data are explored throughout the book, while the benefits are also emphasized through the discoveries made possible by linking large datasets. Methods i...

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Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Giabbanelli, Philippe J. (Editör), Mago, Vijay K. (Editör), Papageorgiou, Elpiniki I. (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2018.
Imprint: Springer,
Edisyon:1st ed. 2018.
Seri Bilgileri:Smart Innovation, Systems and Technologies, 93
Konular:
Computational intelligence.
Artificial intelligence.
Medical informatics.
Quantitative research.
Computational Intelligence.
Artificial Intelligence.
Health Informatics.
Data Analysis and Big Data.
Online Erişim:Full-text access
İçindekiler:
  • 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.

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