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:

Sultana Arshiya1ORCID,Begum Wajeeha1ORCID,Saeedi Rushda1ORCID,Rahman Khaleequr2ORCID,Bin Heyat Md Belal345ORCID,Akhtar Faijan6ORCID,Son Ngo Tung7ORCID,Ullah Hadaate8ORCID

Affiliation:

1. Department of Amraze Niswan Wa Ilmul Qabalat, National Institute of Unani Medicine, Ministry of Ayush, Bengaluru, Karnataka, India

2. Department of Ilmul Saidla, National Institute of Unani Medicine, Ministry of Ayush, Bengaluru, Karnataka, India

3. IoT Research Center, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong 518060, China

4. International Institute of Information Technology, Centre for VLSI and Embedded System Technologies, Hyderabad, Telangana 500032, India

5. Department of Science and Engineering, Novel Global Community Educational Foundation, Hebersham, NSW 2770, Australia

6. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China

7. ICT Department, FPT University, Hanoi, Vietnam

8. Department of EEE, Southern University, Chittagong, Bangladesh

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 < 0.009). In addition, our SVM-RBF CV-5 classification model achieved the highest accuracy (99.2%). Our results showed that vaginal discharge is more common in warm general temperament and warm-wet dystemperament of the uterus. The same has been proven by computational intelligence. Nevertheless, vaginal discharge can also happen in normal and other temperaments.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

Reference54 articles.

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