dermatology: Eryhemato-Squamous Disease Identification
In DavidHofmeyr/spuds: Spectral Partitioning Using Density Separation
Description
Usage
Format
Source
References
Description
This data set contains clinical and histopathological information from 366 cases of 6 different skin disorders/diseases for the purpous of differential diagnosis of eryhemato-squamous disease.
Usage
1
Format
A list with entries $x (a 366x34 matrix with each row corresponding to an individual case) and $c (a vector of labels indicating the skin condition).
Source
UCI Machine Learning Repository.
References
Dheeru, D. and E. Karra Taniskidou (2017). UCI machine learning repository. https://archive.ics.uci.edu/ml
G. Demiroz, H. A. Govenir, and N. Ilter, "Learning Differential Diagnosis of Eryhemato-Squamous Diseases using Voting Feature Intervals", Aritificial Intelligence in Medicine
DavidHofmeyr/spuds documentation built on May 20, 2019, 9:40 a.m.
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Description Usage Format Source References
Description
This data set contains clinical and histopathological information from 366 cases of 6 different skin disorders/diseases for the purpous of differential diagnosis of eryhemato-squamous disease.
Usage
1 |
Format
A list with entries $x (a 366x34 matrix with each row corresponding to an individual case) and $c (a vector of labels indicating the skin condition).
Source
UCI Machine Learning Repository.
References
Dheeru, D. and E. Karra Taniskidou (2017). UCI machine learning repository. https://archive.ics.uci.edu/ml
G. Demiroz, H. A. Govenir, and N. Ilter, "Learning Differential Diagnosis of Eryhemato-Squamous Diseases using Voting Feature Intervals", Aritificial Intelligence in Medicine
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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