background: multiple severity scoring systems have been devised and evaluated in adult sepsis, but a simplified scoring model for pediatric sepsis has not yet been developed. this study aimed to develop and validate a new scoring model to stratify the severity of pediatric sepsis, thus assisting the treatment of sepsis in children. methods: data from 634 consecutive patients who presented with ...

ABC analysis is a popular and effective method used to classify inventory items into specific categories that can be managed and controlled separately. Conventional ABC analysis classifies inventory items three categories: A, B, or C based on annual dollar usage of an inventory item. Multi-criteria inventory classification has been proposed by a number of researchers in order to take other impo...

Prediction of corporate bankruptcy is a phenomenon of increasing interest to investors/creditors, borrowing firms, and governments alike. Timely identification of firms’ impending failure is indeed desirable. By this time, several methods have been used for predicting bankruptcy but some of them suffer from underlying shortcomings. In recent years, Genetic Programming (GP) has reached great att...

Bankruptcy prediction has drawn a lot of research interests in previous literature, and recent studies have shown that machine learning techniques achieved better performance than traditional statistical ones. This paper applies support vector machines (SVMs) to the bankruptcy prediction problem in an attempt to suggest a new model with better explanatory power and stability. To serve this purp...

Objective: To study factor correlation and classification affecting abnormalities in chest computed tomographies (CTs) of 608-group patients with coronavirus disease 2019 (COVID-19) pneumonia. Material Methods: We retrospectively collected data COVID-19 pneumonia from medical records combined CTs which were interpreted by a radiologist for CT abnormalities. The findings analyzed descriptive sta...

Financial integration in the Association of Southeast Asian Nations (ASEAN) region is a key focus ASEAN Economic Community. Whereas many studies on modelling corporate default, this paper identifies early warning indicators financial distress before using multiple discriminant analysis (MDA) models with sample listed and delisted companies region. The examines 720 10 different industries across...