Lina M. K. Al-Ebbini^*

Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1971-1985, 2023, DOI:10.32604/iasc.2023.030100

Abstract A relationship between lung transplant success and many features of recipients’/donors has long been studied. However, modeling a robust model of a potential impact on organ transplant success has proved challenging. In this study, a hybrid feature selection model was developed based on ant colony optimization (ACO) and k-nearest neighbor (kNN) classifier to investigate the relationship between the most defining features of recipients/donors and lung transplant success using data from the United Network of Organ Sharing (UNOS). The proposed ACO-kNN approach explores the features space to identify the representative attributes and classify patients’ functional status (i.e., quality of life) after… More >

Batool Mousavi^1,*, Marziye Asgari², Mohammadreza Soroush², Reza Amini³, Ali Montazeri⁴

International Journal of Mental Health Promotion, Vol.22, No.1, pp. 11-17, 2020, DOI:10.32604/IJMHP.2020.010901

Abstract Mental disorders tend to be highly prevalent in war survivors. This paper examined the long-term impact of psychiatric disorders of war survivors on the level of health vulnerability among their female spouses. Interviews were conducted with a nationally representative sample of 653 of the partners of male war survivors with disabilities. The war survivors’ database information used to determine the presence of psychiatric disorders. Then the partners of survivors with (N = 333) and without (N = 320) psychological disorders were assessed via the health-related quality of life (HRQOL-SF36) questionnaire. The frequency of depression and PTSD in war survivors suffer… More >