Data Driven Approaches for Healthcare: Machine learning for Identifying High Utilizers 1st Edition PDF ebook

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eBook Details:

Full title: Data Driven Approaches for Healthcare: Machine learning for Identifying High Utilizers 1st Edition
Edition: 1st
Copyright year: 2019
Publisher: Chapman & Hall
Author: Chengliang Yang; Chris Delcher; Elizabeth Shenkman; Sanjay Ranka
ISBN: 9780429342769, 9783030214210
Format: PDF

Description of Data Driven Approaches for Healthcare: Machine learning for Identifying High Utilizers 1st Edition:
Greater student mobility, increasing demand for access to tertiary education, as well as policy changes have spurred rapid expansion of the global higher education sector. However, with increased demand comes considerable variation in the quality of the supply. As higher education is an expensive endeavor for all stakeholders governments, funders, employers, and families there are also increasing expectations for accountability and demonstrations of quality.  English as a foreign language (EFL) programs, in particular, are under considerable pressure to substantiate their value, resulting in a significant rise in interest around their quality. This volume is the outcome of a May 2018 international conference on quality and specialized accreditation, held in Turkey.  The book’s three sections take the reader from the global to the program level, examining trends and best practices in quality assurance and accreditation in EFL programs. The book’s geographic focus is primarily the Middle East and Turkey, yet the issues discussed herein a quite global in nature. This volume will be of interest to educational administrators at the institutional or program level, educational leadership programs focusing on higher education, language teacher preparation programs, and administrators in centralized education systems or accrediting organizations.

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