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Experimental and Computational Approaches for the Classification and Correlation of Temperament (Mizaj) and Uterine Dystemperament (Su’-I-Mizaj Al-Rahim) in Abnormal Vaginal Discharge (Sayalan Al-Rahim) Based on Clinical Analysis Using Support Vector Machine

Author

Listed:
  • Arshiya Sultana
  • Wajeeha Begum
  • Rushda Saeedi
  • Khaleequr Rahman
  • Md Belal Bin Heyat
  • Faijan Akhtar
  • Ngo Tung Son
  • Hadaate Ullah

Abstract

The temperament (Mizaj) of the body is an essential constituent for health conservancy and diagnosis of several diseases. Hence, general body temperament and uterine dystemperament (Su’-i-Mizaj) with abnormal vaginal discharge (Salayan al-Rahim) need evaluation. In addition, we also applied a computational intelligence technique for enhancing scientific validity to classify the warm‐cold and wet‐dry temperaments. This trial included a total of 66 participants with a vaginal discharge of reproductive age. Data included demographic characteristics of the participants, symptoms associated with vaginal discharge, women’s general temperament, and symptoms of uterine dystemperament. Correlation between general body temperament and age, abnormal vaginal discharge, and its associated symptoms was also performed. Additionally, we used the Support Vector Machine‐Radial Basis Function (SVM‐RBF) model to classify the warm‐cold and wet‐dry temperaments. Warm general temperament was highly prevalent (77.27%), followed by moderate (19.69%) on the warm‐cold temperament scale. In wet‐dry temperament, moderate general body temperament (50%) was more prevalent. In warm‐cold and wet‐dry scores, 78.78% and 74.24% had warm and wet uterine dystemperament, respectively. The age and symptoms were correlated with general temperament. A strong positive correlation was found between warm general temperament and warm dystemperament of the uterus (r = 0.40, p

Suggested Citation

  • Arshiya Sultana & Wajeeha Begum & Rushda Saeedi & Khaleequr Rahman & Md Belal Bin Heyat & Faijan Akhtar & Ngo Tung Son & Hadaate Ullah, 2022. "Experimental and Computational Approaches for the Classification and Correlation of Temperament (Mizaj) and Uterine Dystemperament (Su’-I-Mizaj Al-Rahim) in Abnormal Vaginal Discharge (Sayalan Al-Rahim) Based on Clinical Analysis Using Support Vector," Complexity, John Wiley & Sons, vol. 2022(1).
  • Handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:5718501
    DOI: 10.1155/2022/5718501
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    References listed on IDEAS

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    2. Shiyi Chen & W. K. Hardle & R. A. Moro, 2011. "Modeling default risk with support vector machines," Quantitative Finance, Taylor & Francis Journals, vol. 11(1), pages 135-154.
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