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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Giabbanelli, Philippe J. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Mago, Vijay K. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Papageorgiou, Elpiniki I. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Smart Innovation, Systems and Technologies, 93
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.