This is a dataset listing anonymized patients who received an MRI from the Kaggle dataset MRI and Alzheimers, which was original gathered from the Open Access Series of Imaging Studies (OASIS) project. This set actually includes two data files, a cross sectional set, including patients of diverse ages, and a longitudinal set of older patients which have been classified with as demented or non-demented. This block includes both datasets, however the summary statistics display are shown for only the longitudinal data set. In the first table, each row represent a scan result of a patient. In the second table, multiple rows can be corresponded to a patient with different MR Delays.
- Subject ID, MRI ID, Group and Gender are Categorical
- Age and other measurements are all quantitative
- Educ and Ses are ordinal numbers
- Q1: Can we merge these two tables together? Does it offer any more interesting field for analysis?
- Q2: Which values correlate the state of demented vs non-demented, the brain size could be a factor, but what else?
- Q3: Does different gender show any different patterns and how do they look like?
Variable Name - Variable Description:
- ID - Identification
- M/F - Gender (M if Male, F if Female)
- Hand - Handedness
- Age - Age in years
- EDUC - Years of education
- SES - Socioeconomic Status
- MMSE - Mini Mental State Examination
- CDR - Clinical Dementia Rating
- eTIV - Estimated Total Intracranial Volume
- nWBV - Normalize Whole Brain Volume
- ASF - Atlas Scaling Factor
- Delay - Delay