A new weighted rough set framework based classification for Egyptian NeoNatal Jaundice

نویسندگان

  • Hala S. Own
  • Ajith Abraham
چکیده

Prediction of diseases would help physicians to make informal decision regarding the type of treatment. Jaundice is the most common condition that requires medical attention in newborn babies. Although most newborns develop some degree of jaundice, a high level bilirubin puts a newborn at risk of bilirubin encephalopathy and kernicterus, which are rare but still occur in Egypt. This paper presents a new vailable online 16 December 2011 eywords: eighted rough set eonatal jaundice weighted rough set framework for early intervention and prevention of neurological dysfunction and kernicterus that are catastrophic sequels of neonatal jaundice. The obtained results illustrate that the weighted rough set can provide significantly more accurate and reliable predictive accuracy than well known algorithms such as weighted SVM and decision tree considering the fact that physicians do not t pro lass imbalance learning ule importance have any estimation abou . Introduction and motivation Neonatal jaundice, although a normal transitional phenomenon n most infants, can occasionally become more pronounced. Blood roup incompatibilities (e.g., Rh, ABO) may increase bilirubin roduction through increased hemolysis. Historically, Rh isoimmuization was an important cause of severe jaundice, often resulting n the development of kernicterus. Although this condition has ecome relatively rare in industrialized countries following the se of Rh prophylaxis in Rh-negative women, Rh isoimmunization emains common in developing countries [34]. About 60% of term abies, and 80% of preterm babies, develop jaundice in their first eek of life. 10% of breastfed babies are still jaundiced at 1 month of ge. Rapid differentiation between the majority of babies with jaunice who have no underlying disease (physiological jaundice) and hose with pathological causes is important to detect the underying disease and to prevent adverse sequelae such as bilirubin ncephalopathy and kernicterus [1]. The increased bilirubin cause the infant’s skin and whiteess of the eyes (sclera) to look yellow. Kernicterus, or bilirubin ncephalopathy, is a condition caused by bilirubin toxicity to the asal ganglia and various brainstem nuclei. In the acute phase, everely jaundiced infants become lethargic, hypotonic and suck oorly. If the hyperbilirubinemia is not treated, the infant becomes ∗ Corresponding author. Tel.: +2

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Hybrid system based on bijective soft and neural network for Egyptian neonatal jaundice diagnosis

Neonatal jaundice or hyperbilirubinemia and its evolution to acute bilirubin encephalopathy (ABE) and kernicterus are an important, yet avoidable, origin of newborn deaths, re-hospitalisations and disabilities generally. In this study, a new supervised hybrid bijective soft set neural network-based classification method is introduced for prediction of Egyptian neonatal jaundice dataset. Early p...

متن کامل

A Framework for Optimal Attribute Evaluation and Selection in Hesitant Fuzzy Environment Based on Enhanced Ordered Weighted Entropy Approach for Medical Dataset

Background: In this paper, a generic hesitant fuzzy set (HFS) model for clustering various ECG beats according to weights of attributes is proposed. A comprehensive review of the electrocardiogram signal classification and segmentation methodologies indicates that algorithms which are able to effectively handle the nonstationary and uncertainty of the signals should be used for ECG analysis. Ex...

متن کامل

A hybrid filter-based feature selection method via hesitant fuzzy and rough sets concepts

High dimensional microarray datasets are difficult to classify since they have many features with small number ofinstances and imbalanced distribution of classes. This paper proposes a filter-based feature selection method to improvethe classification performance of microarray datasets by selecting the significant features. Combining the concepts ofrough sets, weighted rough set, fuzzy rough se...

متن کامل

A Novel-weighted Rough Set-based Meta Learning for Ozone Day Prediction

Nowadays, classifier combination methodsreceives great attention from machine learning researchers. It is a powerful tool to improve the accuracy of classifiers. This approach has become increasingly interesting, especially for real-world problems, which are often characterized by their imbalanced nature. The unbalanced distribution of data leads to poor performance of most of the conventional ...

متن کامل

A Weighted Relational Classification Algorithm Based on Rough Set

A Weighted Relational Classification Algorithm Based on Rough Set is proposed in this paper. The relations of tables are classified in database, relational graph is converted into 0 1 matrix, the weight is calculated using UCINET; at the same time, different condition attributes are weighted differently by using attribute frequency of Rough Set. It is improved effectively. Experiments have prov...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Appl. Soft Comput.

دوره 12  شماره 

صفحات  -

تاریخ انتشار 2012