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data/tanveer/dermatology/dermatology.names
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data/tanveer/dermatology/dermatology.names
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1. Title: Dermatology Database
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2. Source Information:
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(a) Original owners:
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-- 1. Nilsel Ilter, M.D., Ph.D.,
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Gazi University,
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School of Medicine
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06510 Ankara, Turkey
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Phone: +90 (312) 214 1080
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-- 2. H. Altay Guvenir, PhD.,
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Bilkent University,
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Department of Computer Engineering and Information Science,
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06533 Ankara, Turkey
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Phone: +90 (312) 266 4133
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Email: guvenir@cs.bilkent.edu.tr
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(b) Donor: H. Altay Guvenir,
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Bilkent University,
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Department of Computer Engineering and Information Science,
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06533 Ankara, Turkey
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Phone: +90 (312) 266 4133
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Email: guvenir@cs.bilkent.edu.tr
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(c) Date: January, 1998
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3. Past Usage:
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1. G. Demiroz, H. A. Govenir, and N. Ilter,
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"Learning Differential Diagnosis of Eryhemato-Squamous Diseases using
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Voting Feature Intervals", Aritificial Intelligence in Medicine,
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The aim is to determine the type of Eryhemato-Squamous Disease.
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4. Relevant Information:
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This database contains 34 attributes, 33 of which are linear
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valued and one of them is nominal.
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The differential diagnosis of erythemato-squamous diseases is a real
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problem in dermatology. They all share the clinical features of
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erythema and scaling, with very little differences. The diseases in
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this group are psoriasis, seboreic dermatitis, lichen planus,
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pityriasis rosea, cronic dermatitis, and pityriasis rubra pilaris.
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Usually a biopsy is necessary for the diagnosis but unfortunately
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these diseases share many histopathological features as
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well. Another difficulty for the differential diagnosis is that a
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disease may show the features of another disease at the beginning
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stage and may have the characteristic features at the following stages.
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Patients were first evaluated clinically with 12 features.
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Afterwards, skin samples were taken for the evaluation of 22
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histopathological features. The values of the histopathological features
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are determined by an analysis of the samples under a microscope.
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In the dataset constructed for this domain, the family history feature
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has the value 1 if any of these diseases has been observed in the
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family, and 0 otherwise. The age feature simply represents the age of
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the patient. Every other feature (clinical and histopathological) was
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given a degree in the range of 0 to 3. Here, 0 indicates that the
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feature was not present, 3 indicates the largest amount possible,
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and 1, 2 indicate the relative intermediate values.
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The names and id numbers of the patients were recently
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removed from the database.
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5. Number of Instances: 366
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6. Number of Attributes: 34
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7. Attribute Information:
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-- Complete attribute documentation:
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Clinical Attributes: (take values 0, 1, 2, 3, unless otherwise indicated)
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1: erythema
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2: scaling
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3: definite borders
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4: itching
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5: koebner phenomenon
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6: polygonal papules
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7: follicular papules
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8: oral mucosal involvement
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9: knee and elbow involvement
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10: scalp involvement
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11: family history, (0 or 1)
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34: Age (linear)
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Histopathological Attributes: (take values 0, 1, 2, 3)
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12: melanin incontinence
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13: eosinophils in the infiltrate
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14: PNL infiltrate
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15: fibrosis of the papillary dermis
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16: exocytosis
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17: acanthosis
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18: hyperkeratosis
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19: parakeratosis
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20: clubbing of the rete ridges
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21: elongation of the rete ridges
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22: thinning of the suprapapillary epidermis
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23: spongiform pustule
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24: munro microabcess
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25: focal hypergranulosis
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26: disappearance of the granular layer
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27: vacuolisation and damage of basal layer
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28: spongiosis
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29: saw-tooth appearance of retes
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30: follicular horn plug
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31: perifollicular parakeratosis
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32: inflammatory monoluclear inflitrate
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33: band-like infiltrate
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8. Missing Attribute Values: 8 (in Age attribute). Distinguished with '?'.
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9. Class Distribution:
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Database: Dermatology
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Class code: Class: Number of instances:
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1 psoriasis 112
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2 seboreic dermatitis 61
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3 lichen planus 72
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4 pityriasis rosea 49
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5 cronic dermatitis 52
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6 pityriasis rubra pilaris 20
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