Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách gia công
Thể loại:Computers
Năm:2013
Nhà xuát bản:O'Reilly Media
Ngôn ngữ:english
Trang:212 / 209
With this practical book, you will learn proven methods for anonymizing
health data to help your organization share meaningful datasets, without
exposing patient identity. Leading experts Khaled El Emam and Luk
Arbuckle walk you through a risk-based methodology, using case studies
from their efforts to de-identify hundreds of datasets. Clinical data is
valuable for research and other types of analytics, but making it
anonymous without compromising data quality is tricky. This book
demonstrates techniques for handling different data types, based on the
authors' experiences with a maternal-child registry, inpatient discharge
abstracts, health insurance claims, electronic medical record
databases, and the World Trade Center disaster registry, among others.
