Handbook of Research on Data Science for Effective Healthcare Practice and Administration
Nonfiction, Health & Well Being, Medical, Reference, Hospital Administration & Care, Computers, Advanced Computing, Computer Science, General Computing
| Author: | ISBN: | 9781522525172 | |
| Publisher: | IGI Global | Publication: | July 20, 2017 |
| Imprint: | Medical Information Science Reference | Language: | English |
| Author: | |
| ISBN: | 9781522525172 |
| Publisher: | IGI Global |
| Publication: | July 20, 2017 |
| Imprint: | Medical Information Science Reference |
| Language: | English |
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.
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.
