Predicting Divorce Prospect Using Ensemble Learning:Support Vector Machine, Linear Model, and Neural Network

A divorce is a legal step taken by married people to end their marriage. It occurs after a couple decides to no longer live together as husband and wife. Globally, the divorce rate has more than doubled from 1970 until 2008, with divorces per 1,000 married people rising from 2.6 to 5.5. Divorce occurs at a rate of 16.9 per 1,000 married women. According to the experts, over half of all marriages ends in divorce or separation in the United States. A novel ensemble learning technique based on advanced machine learning algorithms is proposed in this study. The support vector machine (SVM), passive aggressive classifier, and neural network (MLP) are applied in the context of divorce prediction. A question-based dataset is created by the field specialist. The responses to the questions provide important information about whether a marriage is likely to turn into divorce in the future. The cross-validation is applied in 5 folds, and the performance results of the evaluation metrics are examined. The accuracy score is 100%, and Receiver Operating Characteristic (ROC) curve accuracy score, recall score, the precision score, and the F1 accuracy score are close to 97% confidently. Our findings examined the key indicators for divorce and the factors that are most significant when predicting the divorce

Barriers and enablers for clinical management of surgical wound complications: results of an international survey prior and during the COVID-19 pandemic

Clinical management of surgical wound complications pose considerable challenges globally. Variations in the use of care bundles for prevention is still widespread in clinical practice. As part of the not-for-profit International Surgical Wound Complications Advisory Panel (ISWCAP) advocacy and research, two international surveys of clinicians were conducted during 2019 and 2021. The survey highlighted the perceived barriers and enablers for clinicians across multiple health care settings and surgical disciplines. Opportunities for improvement in early detection and treatment include improved systems for classifying surgical wound complications, implementation of evidence-based guidelines, and adoption of post-discharge surveillance programmes in the clinical and home setting

Special considerations in wound bed preparation 2011: an update©

This article builds and expands upon the concept of wound bed preparation introduced by Sibbald et al in 2000 as a holistic approach to wound diagnosis and treatment of the cause and patient-centered concerns such as pain management, optimizing the components of local wound care: Debridement, Infection and persistent Inflammation, along with Moisture balance before Edge effect for healable but stalled chronic wounds