Experienced Physicians and Automatic Generation of Decision Rules from Clinical Data
نویسندگان
چکیده
Clinical Decision Support Systems embed data-driven decision models designed to represent clinical acumen of an experienced physician. We argue that eliminating physicians’ diagnostic biases from data improves the overall quality of concepts, which we represent as decision rules. Experiments conducted on prospectively collected clinical data show that analyzing this filtered data produces rules with better coverage, certainty and confirmation. Cross-validation testing shows improvement in classification performance.
منابع مشابه
کشف الگوهای پنهان موجود در دادههای بیماران مبتلا به سل
Background: Having precisely analyzed the data of patients with specific diseases we can obtain the patterns and knowledge of these disease or even specific characteristics of patients. A hypothesis is usually considered in medical studies when some data are gathered prospectively to prove or deny this hypothesis, but in many cases there may be relationships between the data of the patients w...
متن کاملPhysicians' and Clinical Coders' Knowledge about Cause of Death Rules for Death Certification in Hospitals Affiliated to Kashan University of Medical Sciences
Introduction: To clarify mortality trend, enhancing the knowledge of physicians and clinical coders who play their role in coding based on ICD book is crucial. This study was performed to investigate the knowledge of physicians and clinical coders on the rules and guidelines of determining mortality causes. Methods: This descriptive cross-sectional study was performed on 152 health care provid...
متن کاملExtending the GEM model to support knowledge extraction from textual guidelines
Clinical Practice Guidelines (CPGs) are being developed as a tool to promote best practice in medicine. However, the diffusion of paper guidelines has been shown to only have a limited impact. This is why computerization of CPGs has recently been suggested as a means to improve their dissemination as well as physicians' compliance. The Guideline Elements Model (GEM) has been proposed to facilit...
متن کاملUSING DISTRIBUTION OF DATA TO ENHANCE PERFORMANCE OF FUZZY CLASSIFICATION SYSTEMS
This paper considers the automatic design of fuzzy rule-basedclassification systems based on labeled data. The classification performance andinterpretability are of major importance in these systems. In this paper, weutilize the distribution of training patterns in decision subspace of each fuzzyrule to improve its initially assigned certainty grade (i.e. rule weight). Ourapproach uses a punish...
متن کاملInvestigating the factors affecting participation in clinical decision-making from viewpoint of physicians and nurses of educational hospitals of Qazvin
Background: Inter-professionals collaboration between nurses and physicians are essential for improving the quality of health care services. The purpose of this study was to determine the factors influencing participation in clinical decision making from the viewpoint of nurses and doctors. Materials and methods: In this cross-sectional study, 140 nurses and 100 Physicians in educational Hosp...
متن کامل