Research Article
[Retracted] Prediction of Risk Takers in Arterial Hypertension Patients with Data Mining Application
Table 1
Attributes selected to perform the data mining process.
| | Attributes | Description |
| | Marital status | est_civ | | Age | Age | | History of diseases in the family | ant_fam | | If the person has a disability | Disc | | How much work per day | hor_lab | | Pregnancy | Question | | In case of being pregnant | preg_time | | Type of sex | Gender | | If the person consumes alcohol | Alch | | How often do you drink alcohol? | alch_cnto | | Amount of alcohol consumed | alch_cntd | | Voluntary drug use | Sad | | Sedentary lifestyle | Will give | | Cholesterol | Cabbages | | Attributes | Description | | Diabetes | Diabe | | Triglycerides | Trigi | | Do physical activity | Act_fis | | Practice intensity | Act_fis_int | | Strain | Tension | | Blood pressure | pres_art | | Weight | Weight | | Height | Height | | Take nicotine | Tobacco | | How many do you consume per day? | tabac_cnts | | How long have you been smoking | tabac_time | | Have had heart surgery | oper_cora | | Travel constantly | Trip | | How often do you travel in a given period of time? | How much_travel | | Employment status | est_lab | | Belongs to any ethnic group | group_ethni | | Rate the level of both work and daily stress | Stress | | Level of schooling | Study | | How long do you sleep | drm_time | | Stratum | Stratum |
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