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Case study stroke patient prediction

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CASE STUDY: Stroke Patient Prediction Classifications of the input parameters GENDER 2994 2115 1 Male Female Other Figure 1: Patient’s Gender Figure 1 shows the patient’s gender from the given data set of 5110 patients, there are about 2115 male patients, 2994 female patients and 1 patient for other. AGE GROUP 1376 60 and above 2164 31-59 18-30 17 and below Figure 2: Patient’s Age Group 714 856 The age group can be classified into 4 classes shown in figure 2, 856 patients are children, 714 patients for ages from 18 to 30, 2164 patients are patients with ages 31 to 59 and 1376 are patients older than 59. HYPERTENSION 4612 No Yes 498 Figure 3: Patient’s Disease (Hypertension) The patients have relevant information from the data set like this one, which were some of them have identified having hypertension and about 498 patients out of 5110 of them were experiencing hypertension and the rest were not. HEART DISEASE 4834 No Yes 276 Figure 4: Patient’s Disease (Heart Disease) Figure 4 shows that there are 276 patients with heart disease and 4834 patients without this disease. EVER MARRIED 3353 1757 Yes No Figure 5: Patient’s Marital Statuse The figure above shows the marital status of the patients and 3353 of them were married and 1757 are not married yet. WORK TYPE Never Worked 22 Children 687 Govt_Job 657 Self-Employed Private Figure 6: Patient’s Work Type 819 2925 Figure 6 shows the classifications of the patient’s w ...
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