Handbook of Research on Data Science for Effective Healthcare Practice and Administration

Handbook of Research on Data Science for Effective Healthcare Practice and Administration

Elham Akhond Zadeh Noughabi (University of Calgary, Canada), Bijan Raahemi (University of Ottawa, Canada), Amir Albadvi (Tarbiat Modares University, Iran) and Behrouz H. Far (University of Calgary, Canada)
Release Date: July, 2017|Copyright: © 2017 |Pages: 545
ISBN13: 9781522525158|ISBN10: 1522525157|EISBN13: 9781522525165|DOI: 10.4018/978-1-5225-2515-8

Description

Data science has always been an effective way of extracting knowledge and insights from information in various forms. One industry that can utilize the benefits from the advances in data science is the healthcare field.

The Handbook of Research on Data Science for Effective Healthcare Practice and Administration is a critical reference source that overviews the state of data analysis as it relates to current practices in the health sciences field. Covering innovative topics such as linear programming, simulation modeling, network theory, and predictive analytics, this publication is recommended for all healthcare professionals, graduate students, engineers, and researchers that are seeking to expand their knowledge of efficient techniques for information analysis in the healthcare professions.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Data Engineering
  • Discriminant Analysis
  • Heuristics
  • Linear Programming
  • Machine Learning
  • Multi-Objective Programming
  • Network Theory
  • Predictive Analytics
  • Signal Processing
  • Simulation Modeling

Table of Contents and List of Contributors

Search this Book:
Reset