Luk arbuckle (18 Ergebnisse)

Zustand: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Paperback. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Zustand: New. In English.

Paperback. Zustand: Brand New. reprint edition. 197 pages. 8.75x7.00x0.50 inches. In Stock.

Paperback. Zustand: Brand New. 148 pages. 9.00x7.00x0.75 inches. In Stock.

Zustand: New. In English.

Zustand: New. pp. 212.

Zustand: New. 2020. Paperback. . . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. Neuware - 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.…

Zustand: New. With this practical book, data architects and engineers will learn how to implement and deploy anonymization solutions within a data collection pipeline. You ll establish and integrate secure, repeatable anonymization processes into your data flows and anal.