Information system for diagnosing Neonatal Jaundice using rule-based algorithm

A Rule Extractor for Diagnosing the Type 2 Diabetes Using a Self-organizing Genetic Algorithm

Introduction: Constructing medical decision support models to automatically extract knowledge from data helps physicians in early diagnosis of disease. Interpretability of the inferential rules of these models is a key indicator in determining their performance in order to understand how they make decisions, and increase the reliability of their output. Methods: In this study, an automated hyb...

A fuzzy rule-based expert system for diagnosing cystic fibrosis

Background Finding a valid diagnosis is mostly a prolonged process. Current advances in the sector of artificial intelligence have led to the appearance of expert systems that enrich the experiences and capabilities of doctors for making decisions for their patients. Objective The objective of this research was developing a fuzzy expert system for diagnosing Cystic Fibrosis (CF). Methods De...

Control Chart Recognition Patterns using Fuzzy Rule-Based System

Control Chart Patterns (CCPs) recognition is one the most important concepts in control chart application. Relating the patterns exhibited on the control chart to assignable causes is an ambiguous and vague task especially when multiple patterns co-exist. In this study, a fuzzy rule-based system is developed for X ̅ control charts to prioritize the control chart causes based on the accumulated e...

Runtime verification of programs using rule-based active system

Phototherapy for neonatal jaundice.

n engl j med 358;9 www.nejm.org february 28, 2008 920 A male infant weighing 3400 g was born at 37 weeks’ gestation after an uncomplicated pregnancy. The mother is a 24-year-old primipara who has type A Rh-positive blood. The infant’s course in the hospital nursery was uncomplicated. Although his mother needed considerable help in establishing effective breast-feeding, he was exclusively breast...