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Research ArticleOriginal Article
Open Access

Leveraging multivariate analysis and adjusted mutual information to improve stroke prediction and interpretability

Moutasem S. Aboonq and Saeed A. Alqahtani
Neurosciences Journal July 2024, 29 (3) 190-196; DOI: https://doi.org/10.17712/nsj.2024.3.20230100
Moutasem S. Aboonq
From the Department of Physiology, College of Medicine, Taibah University, Al-Madinah Al-Munawwarah, Kingdom of Saudi Arabia
MD, PhD
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Saeed A. Alqahtani
From the Department of Physiology, College of Medicine, Taibah University, Al-Madinah Al-Munawwarah, Kingdom of Saudi Arabia
MD, PhD
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    Figure 1

    - Adjusted mutual information for the independent variables.

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    Table 1

    - Variables description.

    VariablesDefinitions
    stroke statusStroke: 0 (no history of stroke), 1 (has history of stroke)
    genderGender: 0 (Female), 1 (Male)
    Age group in year (y):Age group: 13-level category (1: 18-24 y, 2: 25-29 y, 3: 30-34 y, 4: 35-39 y, 5: 40-44 y, 6: 45-49 y, 7: 50-54 y, 8: 55-59 y, 9: 60-64 y, 10: 65-69 y, 11: 70-74 y, 12: 75-79 y, 13: 80 y or above)
    BMI (Body Mass Index):Body Mass Index: 1: Underweight (BMI < 18.5 Kg/m2), 2: Normal weight (BMI 18.5-24.9 Kg/m2), 3: Overweight (BMI 25 - 29.9 Kg/m2), 4: Obese (BMI ≥30 Kg/m2)
    smoking statusSmoker: 0 (no), 1 (yes)
    diabetic statusDiabetic: 0 (Not Diabetic), 1 (Diabetic)
    hypertension statusHypertension: 0 (No Hypertension), 1 (Hypertension)
    cholesterol statusHigh Cholesterol: 0 (No High Cholesterol), 1 (High Cholesterol)
    MIHistory of MI: 0 (no), 1 (yes)
    angina/CHDHistory of angina or CHD: 0 (no), 1 (yes)

    BMI: Body mass index, y: year, MI: myocardial infarction, CHD: coronary heart disease

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      Table 2

      - Multivariate regression analysis.

      FeaturesORCI
      gender0.6260.620-0.632
      age group1.1031.102-1.104
      BMI category0.6130.611-0.615
      smoking status1.0281.013-1.043
      diabetic2.1112.084-2.138
      cholesterol status1.1971.185-1.210
      MI3.3793.317-3.441
      angina CHD1.7331.701-1.766
      hypertension status2.3042.279-2.329
      • View popup
      Table 3

      - Predictive models performance.

      ModelsAccuracyPrecisionRecallF1 ScoreAUC ROC
      Random Forest0.7250.7040.7750.7380.725
      XGBoost0.7210.7000.7750.7350.721
      Neural Network0.7170.6880.7940.7380.717
      Logistic Regression0.7060.6990.7240.7110.706
      KNN0.6900.6820.7130.6970.690
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    Neurosciences Journal: 29 (3)
    Neurosciences Journal
    Vol. 29, Issue 3
    1 Jul 2024
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    Leveraging multivariate analysis and adjusted mutual information to improve stroke prediction and interpretability
    Moutasem S. Aboonq, Saeed A. Alqahtani
    Neurosciences Journal Jul 2024, 29 (3) 190-196; DOI: 10.17712/nsj.2024.3.20230100

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    Leveraging multivariate analysis and adjusted mutual information to improve stroke prediction and interpretability
    Moutasem S. Aboonq, Saeed A. Alqahtani
    Neurosciences Journal Jul 2024, 29 (3) 190-196; DOI: 10.17712/nsj.2024.3.20230100
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