This work promotes a novel point of view in rough set applications: rough sets rule learning for ordinal prediction is based on rough graphical representation of the rules. Our approach tackles two barriers of rule learning. Unlike in typical rule learning, we construct ordinal prediction with a mathematical approach, rough sets, rather than purely rule quality measures. This construction resul...

BACKGROUND AND OBJECTIVES Heterosexual HIV-1-serodiscordant couples are increasingly recognized as an important source of new HIV-1 infections in sub-Saharan Africa. A simple risk assessment tool could be useful for identifying couples at highest risk for HIV-1 transmission. METHODS Using data from 3 prospective studies of HIV-1-serodiscordant couples from 7 African countries and standard met...

BACKGROUND AND PURPOSE Our purpose was to determine whether clinical prediction rules could be derived from current stroke outcome research. SUMMARY OF REPORT We reviewed 92 articles on stroke outcome research to determine their suitability for implementation as a clinical prediction rule. Methodological problems in many of these studies made implementation of their results as a clinical pred...

The development of valid classification methods to assist the physical therapy management of patients with low back pain has been recognized as a research priority. There is also growing evidence that the use of a classification approach to physical therapy results in better clinical outcomes than the use of alternative management approaches. In 1995 Delitto and colleagues proposed a classifica...

Abstract. In this paper we design an econometric test for monotone comparative statics (MCS) often found in models with multiple equilibria. Our test exploits the observable implications of the MCS prediction: that the extreme (high and low) conditional quantiles of the dependent variable increase monotonically with the explanatory variable. The main contribution of the paper is to derive a lik...

Corporate bankruptcy prediction is a usual problem found in financing and management. In this paper a new approach is proposed based on Machine Learning and Fuzzy Logic. Our attempt, finally, results in a useful fuzzy system, which can be used in order to classify firms into efficient and inefficient ones.

QUESTION Clinical prediction rules are research-based tools that quantify the contributions of relevant patient characteristics to provide numeric indices that assist clinicians in making predictions. Clinical prediction rules have been used to describe the likelihood of the presence or absence of a condition, assist in determining patient prognosis, and help the classification of patients for ...

Background CPRs assist clinicians in making a diagnosis, prognosis or matching patients to optimal intervention based on a set of predictor variables that have been documented from a patient’s history, physical examination and in some situations available diagnostic tests. Within the field of musculoskeletal physiotherapy, a number of CPRs have been derived to target the most effective interven...

INTRODUCTION In this special issue of eGEMs, we explore the struggles related to bringing evidence into day-to-day practice, what I define as the "evidence gap." We are all aware of high quality evidence in the form of guidelines, randomized clinical trials for treatments and diagnostic tests, and clinical prediction rules, which are all readily available online. We also know that electronic he...