Refractive errors
Donated on 4/26/2020
Effect of life style and genetic on eye refractive errors.
Dataset Characteristics
Multivariate
Subject Area
Health and Medicine
Associated Tasks
Classification
Feature Type
Integer
# Instances
467
# Features
79
Dataset Information
Additional Information
The aim of this dataset is to study the impact of personal lifestyle and genetic on eye refractive errors. This dataset is gathered from forms filled by 467 individual. First sheet contains information of 210 people suffering from eye refractive errors and the second sheet contains the information of the remaining 257 participants, who had a healthy eye condition. For being more precise, we asked participants, who had refractive errors, to fill information about their lifestyle before being affected by eye refractive errors.
Has Missing Values?
Yes
Variable Information
Attributes ending by _B indicate the past lifestyle for individuals with refractive error. classes: R.type Refractive error type: {myopia}, {astigmatism}, {hyperopia}, {astigmatism,hyperopia}, {astigmatism,myopia} R.type.myopia T,F R.type.hyperopia T,F R.type.astigmatism T,F other variables: R.editVisionOperation T, F, lasek R.glasses Int R.Fglasses Int N.dairy cat: 0, 1, 2 N.vegetable cat: 0, 1, 2 N.seafood cat: 0, 1, 2 N.nuts cat: 0, 1, 2 A.Dreading_N cat: 0, 2, 4, 6, 8 A.Dreading_B cat: 0, 2, 4, 6, 8 A.computer_N cat: 0, 2, 4, 6, 8 A.computer_B cat: 0, 2, 4, 6, 8 A.TV_N cat: 0, 2, 4, 6, 8 A.TV cat: 0, 2, 4, 6, 8 A.focus cat: Yes, No, the activity A.focus.yes T,F A.dark T,F A.dark_N T,F D.Edamage no, yes, the eye damage name D.Edisease_N no, yes, the eye disease name D.Edisease_B no, yes, the eye disease name D.Sdisease_N no, yes, the other disease name D.Sdisease_B no, yes, the other disease name D.allergy_N T,F D.allergy_B T,F D.allergy.seasonalAllergy T,F D.allergy.skinAllergy T,F D.allergy.hives T,F D.drug_N no, yes, drugs name D.drug_N.familyDrug no, yes, drugs name D.drug_B no, yes, drugs name D.drug.familyDrug no, yes, drugs name D.drug.familyDrug.vitamins T,F D.drug.familyDrug.birth control pills T,F D.drug.familyDrug.cardiovascular T,F D.drug.familyDrug.antiepileptics T,F D.drug.familyDrug.antidepressants T,F D.drug.familyDrug.thyroid T,F D.drug.familyDrug.gastrointestina T,F O.inherit.mother T,F O.inherit.father T,F O.inherit.sisterOrBrother T,F O.inherit.auntOrUncle T,F O.inherit.grandFatherOrMother T,F O.inherit.cousin T,F O.inherit cat: the relationship of the relative with eye disease problem O.weather hot, cold, mild & humid O.pollution T,F L.smoking_B T,F L.smoking_N T,F L.alcohol_B T,F L.alcohol_N T,F L.Isunglasses_B T,F L.Isunglasses_N T,F (using any sun-glass) L.Ssunglasses_B T,F L.Ssunglasses_N T,F (using only standard sun-glasses) L.makeup_B T,F L.makeup_N T,F L.lences_B T,F L.lences_N T,F P.gender 0 (F),1 (M) P.age_B Int P.age_N Int P.height Int P.weight Int P.city_N city name P.city_B city name P.state state name P.degree cat: 0, 1, 2, 3 P.job job name P.job.collegian T,F P.job.employee T,F P.job.no work T,F P.job.student T,F P.job.university professor T,F from how the form is filled: internet, alborz, iust, hakim
Dataset Files
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset refractive_errors = fetch_ucirepo(id=568) # data (as pandas dataframes) X = refractive_errors.data.features y = refractive_errors.data.targets # metadata print(refractive_errors.metadata) # variable information print(refractive_errors.variables)
Refractive errors [Dataset]. (2020). UCI Machine Learning Repository. https://doi.org/10.24432/C59C8H.
DOI
Notes
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.