BACKGROUND Knee osteoarthritis (OA) is the most common joint disease of adults worldwide. Since the treatments for advanced radiographic knee OA are limited, clinicians face a significant challenge of identifying patients who are at high risk of OA in a timely and appropriate way. Therefore, we developed a simple self-assessment scoring system and an improved artificial neural network (ANN) mod...

Background: Magnetic resonance imaging (MRI) mammography has been recommended as a problem solving tool in patients with breast lump for which newer protocols like abbreviated, ultrafast MRI and diffusion are now available. For interpretation lexicons BIRADS Kaiser score system available but there is scope improvement of results need lexicons.Methods: Retrospective study 175 who had was done. T...

A requirement of a credit scoring decision support system for small business loans is that the embedded scoring model can be easily altered in accord with the change of business environment. To satisfy such a requirement, this study proposes an N-tier architecture integrated with the idea of Model-View-Controller. With this design, the system engineers can avoid frequently investing considerabl...

Background. To identify malignant cervical lymphadenopathy, we established a real-time, computerized scoring system based on sonographic findings and demo-

The significant growth of consumer credit has resulted in a wide range of statistical and non-statistical methods for classifying applicants in ‘good’ and ‘bad’ risk categories. Traditionally, (logistic) regression used to be one of the most popular methods for this task, but recently some newer techniques like neural networks and support vector machines have shown excellent classification perf...