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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