Chest radiography for the diagnosis of active pulmonary tuberculosis (PTB) is limited by poor specificity and reader inconsistency. Scoring systems have been employed successfully for improving the performance of chest radiography for various pulmonary diseases. We conducted a systematic review to assess the diagnostic accuracy and reproducibility of scoring systems for PTB. We searched multipl...

Credit scoring is an important tool in financial institutions, which can be used in credit granting decision. Credit applications are marked by credit scoring models and those with high marks will be treated as “good”, while those with low marks will be regarded as “bad”. As data mining technique develops, automatic credit scoring systems are warmly welcomed for their high efficiency and object...

Automated computerized scoring systems (ACSSs) are being increasingly used to analyze text in many educational settings. Nevertheless, the impact of misspelled words (MSW) on scoring accuracy remains to be investigated in many domains, particularly jargon-rich disciplines such as the life sciences. Empirical studies confirm that MSW are a pervasive feature of human-generated text and that despi...

Credit scoring models, or score cards, can contribute to bank safety and soundness as long as bank management actively participates in the development, implementation, monitoring, and validation of the model. Operational factors, such as accurate implementation of the credit scoring model and adequate training of data input staff, also can have an impact on the effectiveness of models. Changes ...

The purpose of this paper is to investigate the properties of partitioning scoring rules in the bipartite ranking setup. We focus on ranking rules based on scoring functions. General sufficient conditions for the AUC consistency of scoring functions that are constant on cells of a partition of the feature space are provided. Rate bounds are obtained for cubic histogram scoring rules under mild ...

Credit scoring has gained more and more attentions both in academic world and the business community today. Many modeling techniques have been developed to tackle the credit scoring tasks. Credit scoring models have been widely used by financial institutions to determine if loan customers belong to either a good applicant group or a bad applicant group. The advantages of using credit scoring mo...

In higher education, a multiple choice test is a widely known format for measuring student’s knowledge. The debate about the two most commonly used scoring methods for multiple choice assessment number right scoring (NR) and negative marking (NM) – seems to be a never-ending story. Both NR scoring as NM do not seem to meet the expectations. However, available research hardly offers alternative ...

INTRODUCTION The Glasgow Coma Scale (GCS) is widely applied in the emergency setting; it is used to guide trauma triage and for the application of essential interventions such as endotracheal intubation. However, inter-rater reliability of GCS scoring has been shown to be low for inexperienced users, especially for the motor component. Concerns regarding the accuracy and validity of GCS scoring...

Molecular docking is an important method for the research of protein-protein interaction and recognition. A protein can be considered as a network when the residues are treated as its nodes. With the contact energy between residues as link weight, a weighted residue network is constructed in this paper. Two weighted parameters (strength and weighted average nearest neighbors' degree) are introd...

Credit scoring model is an important tool for assessing risks in financial industry, consequently the majority of financial institutions actively develops credit scoring model on the credit approval assessment of new customers and the credit risk management of existing customers. Nonetheless, most past researches used the one-dimensional credit scoring model to measure customer risk. In this st...