This dataset, CervicalCancer_df, is a data frame containing data from a study evaluating the diagnostic accuracy of CIN2+ detection using a combined approach with naked-eye and digital VIA (visual inspection with acetic acid) on a Samsung Galaxy J5 smartphone, compared to traditional naked-eye inspection alone.
Usage
data(CervicalCancer_df)Format
A data frame with 181 observations and 10 variables:
- hpv16
Presence of HPV16 (Factor with 2 levels).
- hpv1845
Presence of HPV18/45 (Factor with 2 levels).
- hpvother
Presence of other HPV strains (Factor with 2 levels).
- naked_via
Naked-eye VIA result (Factor with 2 levels).
- smart_via
Digital VIA result with smartphone (Factor with 2 levels).
- treatment
Treatment received (Factor with 2 levels).
- combined_via
Combined naked-eye and digital VIA (Factor with 2 levels).
- histology
Histological diagnosis (Factor with 5 levels).
- cytology
Cytological diagnosis (Factor with 7 levels).
- CIN2plus
CIN2+ status (Factor with 2 levels).
Source
Data taken from the R4HCR package. Data directly available from https://yareta.unige.ch/archives/ffbeb6d7-b390-4755-987e-8faf85f97c67
Details
The dataset name has been kept as 'CervicalCancer_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the OncoDataSets package and assists users in identifying its specific characteristics. The suffix '_df' indicates that the dataset is a data frame. The original content has not been modified in any way.