Research Article
[Retracted] Prediction of Risk Takers in Arterial Hypertension Patients with Data Mining Application
Table 2
Final attributes used in data mining.
| | Attributes | Description | Variable |
| | est_civ | Marital status | Nominal | | Age | Age | | ant_fam | History of diseases in the family | | Disc | If the person has a disability | | hor_lab | How much work per day | | Question | Pregnancy | | preg_time | In case of being pregnant | | Gender | Type of sex | | Alch | If the person consumes alcohol | | alch_cnto | How often do you drink alcohol? | | alch_cntd | Amount of alcohol consumed | | Stupid | Voluntary drug use | | Will give | Sedentary lifestyle | | Cabbage | Cholesterol | | Diabe | Diabetes | | Trigi | Triglycerides | | Act_fis | Do physical activity | | Act_fis_int | Practice intensity | | Tension | Strain | | pres_art | Blood pressure | | Weight | Weight | | Height | Height | | Tobacco | Take nicotine | | tabac_cnts | How many do you consume per day? | | tabac_time | How long have you been smoking | | oper_cora | Have had heart surgery | | Trip | Travel constantly | | How much_travel | How often do you travel in a given period of time? | | est_lab | Employment status | | group_ethni | Belongs to any ethnic group | | Stress | Rate the level of both work and daily stress | | Study | Level of schooling | | drm_time | How long do you sleep | | Stratum | Stratum |
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