Tag Archives: Accuracy

A Web-Based Clinical Decision Support System for the Management of Diabetes Neuropathy Using Naïve Bayes Algorithm (Published)

Diabetes Neuropathy is a chronic health problem with devastating, yet preventable consequences. Due to this shortage of specialists, there is a need for a Clinical Decision Support System that will diagnose and manage diabetes neuropathy. This work therefore aimed at designing a web-based Clinical Decision Support System for the management of early diabetes neuropathy. Four pattern classification algorithms (K-nearest neighbor, Decision Tree, Decision Stump and Rule Induction) were adopted in this work and were evaluated to determine the most suitable algorithm for the clinical decision support system. Datasets were gathered from reliable sources; two teaching hospitals in Nigeria, these were used for the evaluation Benchmarks such as performance, accuracy level, precision, confusion matrices and the models building’s speed were used in comparing the generated models. The study showed that Naïve Bayes outperformed all other classifiers with accuracy being 60.50%. k-nearest neighbor, Decision Tree, Decision Stump and Rule induction perform well with the lowest accuracy for x- cross validation being 36.50%. Decision Tree falls behind in accuracy, while k-nearest neighbour and Decision Stump maintain accuracy at equilibrium 41.00%. Therefore, Naïve Bayes is adopted as optimal algorithm in the domain of this study. The rules generated from the optimal algorithm (Naïve Bayes) forms the back-end engine of the Clinical Decision Support System. The web-based clinical decision support system was then designed The automatic diagnosis of diabetes neuropathy is an important real-world medical problem. Detection of diabetes neuropathy in its early stages is a key for controlling and managing patients early before the disabling effect present. This system can be used to assist medical programs especially in geographically remote areas where expert human diagnosis not possible with an advantage of minimal expenses and faster results. For further studies, researchers can improve on the proposed clinical decision support system by employing more than one efficient algorithm to develop a hybrid system.

Keywords: Accuracy, Algorithm, Classification, Diabetes, Neuropathy, precision

Multiple Perturbed Collocation Tau-Method For Solving High Order Linear And Non-Linear Boundary Value Problems (Published)

This paper is concerned with the numerical solution of high order linear and nonlinear boundary value problems of ordinary differential equations by Multiple Perturbed Collocation Tau Method (MPCTM). In applying this method to the class of problems mentioned above, we assumed a perturbed approximate solution in terms of Chebyshev Polynomial basis function which is substituted into the special class of the problem considered. Thus, resulting into n-folds integration. After evaluation of n-fold integration, the resulting equation is then collocated at equally spaced interior points and the unknown constants in the approximate solution are then obtained by Gaussian elimination method which are then substituted back into the approximate solution. The proposed method is tested on several numerical examples, the approximate solutions is in agreement with the exact solution. The approximate results obtained by the proposed method confirm the convergence of numerical solutions and are compared favorably with the existing methods available in literature

Keywords: Accuracy, Boundary Value Problem, Chebyshev, Errors, Multiple, Perturbed, collocation

Multiple Perturbed Collocation Tau-Method For Solving High Order Linear And Non-Linear Boundary Value Problems (Published)

This paper is concerned with the numerical solution of high order linear and nonlinear boundary value problems of ordinary differential equations by Multiple Perturbed Collocation Tau Method (MPCTM).In applying this method to the class of problems mentioned above, we assumed a perturbed approximate solution in terms of Chebyshev Polynomial basis function which is substituted into the special class of the problem considered. Thus, resulting into n-folds integration. After evaluation of n-fold integration, the resulting equation is then collocated at equally spaced interior points and the unknown constants in the approximate solution are then obtained by Gaussian elimination method which are then substituted back into the approximate solution.The proposed method is tested on several numerical examples, the approximate solutions is in agreement with the exact solution. The approximate results obtained by the proposed method confirm the convergence of numerical solutions and are compared favorably with the existing methods available in literature.

Keywords: Accuracy, Boundary Value Problem, Chebyshev, Errors, Multiple, Perturbed, collocation

The Impact of Task Repetition on Fluency, Accuracy, and Complexity (Published)

A number of strategies, which can utilize various tasks to develop accuracy, fluency, and complexity in language have been proposed. With past studies indicating that repetition of tasks have a positive effect on these basic goals of speech while today’s studies contradict the same, it was interesting carrying out a study on this topic. The study was to examine the kind of influence that task repetition has on the students’ performance in terms of accuracy, fluency, and complexity. Two pairs of students were given a describing-picture task, which was repeated two times. Unexpectedly, the results were opposite to that indicated in the literature. The result revealed that repetition of tasks had no remarkable effect on the students’ performance. This was a clear deviation from the findings of the past studies, which had shown a clear relationship between task repetition and the three basic goals of speech. This study will highlight on the methodologies, analysis, results, and the subsequent conclusions that were reached during the study

Keywords: Accuracy, Complexity, Fluency, Task, repetition

TRANSLATION ASSESSMENT OF QURĂNIC LEXICAL SYNONYMY INTO ENGLISH (Published)

The present study is aimed at investigating the translation accuracy of Qurănic synonymy into English. The renditions of the synonyms will be assessed in the light of a translation quality assessment model to pinpoint how far accuracy has been attained. Lexical synonymy, as defined by semanticists, refers to a major type of sense relation between lexical items which have the same meanings. Definitely, synonyms are of various types as classified by specialists where they reached the result that total synonymy is very rare in language. This may have its bearing on the translation of this linguistic area. If mistranslations of Qur’anic lexical synonymy are found out, alternative translations would be suggested. The Qur’anic texts have been randomly selected for evaluation. The paper is based on the hypothesis that mistranslations of Qur’anic lexical synonymy are more recurrent than accurate renditions. Inaccuracies in the translation of this type of sense relation could be attributed to a variety of reasons such as the semantic dissimilarities between the two languages, discoursal and rhetorical differences etc.Six published translations of the Qur’an have been subjected to assessment as far as the topic under study is concerned. Consequently, the translation assessment has revealed the high frequency of inaccurate renditions of lexical synonyms found in Qur’anic texts. In addition, the synonymous lexical items found in the original (the Quran) seem to be chosen purposefully so as to convey some teachings of the Islamic religion

Keywords: Accuracy, Assessment, differences, mistranslation, synonymy

On the Accuracy of Binomial Model and Monte Carlo Method for Pricing European Options (Published)

We consider the accuracy of two numerical methods for determining the price of an options namely Binomial model and Monte Carlo method. Then we compare the convergence and accuracy of the methods to the analytic Black-Scholes price of European option. Binomial model is very simple but powerful technique that can be used to solve many complex options pricing problem. Monte Carlo method is very flexible in handling high dimensional financial problems. Moreover Binomial model is more accurate and converges faster than Monte Carlo method when pricing European options.

Keywords: Accuracy, Binomial Model, European option, Monte Carlo Method