Anonymizing health data: case studies and methods to get you started, khaled el emam,...
Описание
Updated as of August 2014, this practical book will demonstrate 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.
Understand different methods for working with cross-sectional and longitudinal
datasets
Assess the risk of adversaries who attempt to re-identify patients in
anonymized datasets
Reduce the size and complexity of massive datasets without losing key
information or jeopardizing privacy
Use methods to anonymize unstructured free-form text data
Minimize the risks inherent in geospatial data, without omitting critical
location-based health information
Look at ways to anonymize coding information in health data
Learn the challenge of anonymously linking related datasets
Також купити книгу Anonymizing Health Data: Case Studies and Methods to Get
You Started, Khaled El Emam, Luk Arbuckle Ви можете по посиланню
Также ищут:
Еще продаю
Похожие товары
ТОП объявления
-
TopКнига "чому не еванс?"165 грн -
TopПроект счастья150 грн
-
TopПуговицы и кружево730 грн
-
TopКнижечки для чтения 3-5р100 грн
-
TopМатрица судьбы125 грн
