Applied Health Analytics and Informatics Using SAS Applied Health Analytics and Informatics Using SAS

Applied Health Analytics and Informatics Using SAS

    • €47.99
    • €47.99

Publisher Description

Leverage health data into insight!

Applied Health Analytics and Informatics Using SAS describes health anamatics, a result of the intersection of data analytics and health informatics. Healthcare systems generate nearly a third of the world’s data, and analytics can help to eliminate medical errors, reduce readmissions, provide evidence-based care, demonstrate quality outcomes, and add cost-efficient care. This comprehensive textbook includes data analytics and health informatics concepts, along with applied experiential learning exercises and case studies using SAS Enterprise MinerTM within the healthcare industry setting. Topics covered include:

Sampling and modeling health data – both structured and unstructured
Exploring health data quality
Developing health administration and health data assessment procedures
Identifying future health trends
Analyzing high-performance health data mining models
Applied Health Analytics and Informatics Using SAS is intended for professionals, lifelong learners, senior-level undergraduates, graduate-level students in professional development courses, health informatics courses, health analytics courses, and specialized industry track courses. This textbook is accessible to a wide variety of backgrounds and specialty areas, including administrators, clinicians, and executives.

This book is part of the SAS Press program.

GENRE
Computing & Internet
RELEASED
2018
8 November
LANGUAGE
EN
English
LENGTH
378
Pages
PUBLISHER
SAS Institute
PROVIDER INFO
Lightning Source Inc Ingram DV LLC
SIZE
69.7
MB
E-Health E-Health
2010
ENTERprise Information Systems ENTERprise Information Systems
2011
Machine Learning and AI for Healthcare Machine Learning and AI for Healthcare
2020
Hospital Logistics and e-Management Hospital Logistics and e-Management
2019
Heterogeneous Data Management, Polystores, and Analytics for Healthcare Heterogeneous Data Management, Polystores, and Analytics for Healthcare
2023
Artificial Intelligence in Health Artificial Intelligence in Health
2019