Medical records are shown below from a fictitious hospital. ID QI SV Zip Code Age Nationality Condition
Question:
Medical records are shown below from a fictitious hospital.
ID | QI | SV | ||
Zip Code | Age | Nationality | Condition | |
1 | 13053 | 28 | Russian | Heart Disease |
2 | 13053 | 36 | Japanese | Flu |
3 | 13068 | 35 | American | Cancer |
4 | 13068 | 29 | American | Heart Disease |
5 | 13068 | 21 | Japanese | Viral Infection |
6 | 14850 | 46 | Indian | Flu |
7 | 13053 | 31 | American | Cancer |
8 | 13053 | 23 | American | Viral Infection |
9 | 14853 | 50 | Indian | Cancer |
10 | 14853 | 55 | Russian | Heart Disease |
11 | 14850 | 47 | American | Viral Infection |
12 | 14850 | 49 | American | Viral Infection |
13 | 13053 | 37 | Indian | Cancer |
14 | 13068 | 36 | Japanese | Cancer |
15 | 13068 | 38 | Russian | Flu |
Figure 1: Inpatient microdata
Now you are asked to anonymize the above table according to the following requirements. Note that when you do the anonymization, you should try to generalize the QI with minimum changes (i.e., the changed values should be as accurate as possible).
- Generalize the QI values of the table for 2-anonymity.
- Generalize the QI values of the table for 4-anonymity.
- Generalize the QI values of the table for 3-diversity.
- Instead of generalizing QI values, now you are asked to use the anatomy method to develop the 3-diversity.
Social Statistics for a Diverse Society
ISBN: 978-1483333540
7th edition
Authors: Chava Frankfort-Nachmias, Anna Leon-Guerrero