Data Driven Approaches for Healthcare：Machine learning for Identifying High Utilizers
商品資訊
系列名：Chapman & Hall/CRC Big Data Series
ISBN13：9780367342906
出版社：PBKTYFRL
作者：Chengliang Yang; Chris (University of Kentucky Delcher KY USA); Elizabeth (University of Florida Shenkman FL. USA); Sanjay (University of Florida Ranka Gainesville USA)
出版日：2019/10/07
裝訂／頁數：精裝／108頁
規格：26.1cm*18.4cm*1.3cm (高/寬/厚)
商品簡介
Health care utilization routinely generates vast amounts of data from sources ranging from electronic medical records, insurance claims, vital signs, and patient-reported outcomes. Predicting health outcomes using data modeling approaches is an emerging field that can reveal important insights into disproportionate spending patterns. This book presents data driven methods, especially machine learning, for understanding and approaching the high utilizers problem, using the example of a large public insurance program. It describes important goals for data driven approaches from different aspects of the high utilizer problem, and identifies challenges uniquely posed by this problem.
Key Features:
購物須知
外文書商品之書封，為出版社提供之樣本。實際出貨商品，以出版社所提供之現有版本為主。部份書籍，因出版社供應狀況特殊，匯率將依實際狀況做調整。
無庫存之商品，在您完成訂單程序之後，將以空運的方式為你下單調貨。為了縮短等待的時間，建議您將外文書與其他商品分開下單，以獲得最快的取貨速度，平均調貨時間為1~2個月。
為了保護您的權益，「三民網路書店」提供會員七日商品鑑賞期(收到商品為起始日)。
若要辦理退貨，請在商品鑑賞期內寄回，且商品必須是全新狀態與完整包裝(商品、附件、發票、隨貨贈品等)否則恕不接受退貨。