Advanced Data Analytics in Health (eBook, PDF)

Redaktion: Giabbanelli, Philippe J.; Papageorgiou, Elpiniki I.; Mago, Vijay K.

• Format: PDF

Produktbeschreibung

Focuses on the use of recently developed computational techniques in the context of health, including healthcare as well as public health

Demonstrates how data can be transformed into insight for professionals, ranging from clinicians to policymakers

Presents recent research in advanced data analytics in health, written by experts in the field

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 216
• Erscheinungstermin: 20. April 2018
• Englisch
• ISBN-13: 9783319779119
• Artikelnr.: 52933019

Inhaltsangabe

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.

Rezensionen

"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)