Vol 12 Issue 4 October 2024-December 2024

Abstract: The purpose of this study is to improve the prediction of contraceptive uptake with the use of the stacked ensemble model. The main objectives include the identification of the relevant predictors associated with that uptake, development of ensemble designs for improving the accuracy and robustness of prediction, the implementation involved in these models, and performance evaluation. The proposed ensemble model encompasses four MLAs: Support Vector Machine, Random Forest, Decision Tree, and KNN, respectively, while Logistic Regression will be the meta learner. Due care was taken for the collection and preprocessing of data by discretization, normalization, and cleansing. Next, feature selection was done based on Information Gain and Chi-Square methods in order to focus only on the most relevant predictors. The ensemble model was implemented in Python and the performance of the model evaluated using Accuracy, Precision, Recall, and F1 score. The performance was able to give an accuracy of 0.8187, precision of 0.8223, recall of 0.8187, and F1 score of 0.8198-in effect, a balance in all the metrics. The ensemble model was much more robust and reliable compared to the single models, hence a tool in the prediction of uptake of contraceptives. Overall, the performance of the ensemble model suggests that sophisticated machine learning algorithms will significantly support healthcare providers with informed contraceptive recommendations to better the outcomes of family planning. Future research may investigate other predictors and longitudinal data further to improve model performance and generalizability across diverse healthcare domains.

Keywords: Contraceptive uptake, ensemble learning, machine learning, prediction model, stacked ensemble, Support Vector Machine (SVM), Random Forest, Decision Tree, K-Nearest Neighbors (KNN), Logistic Regression, feature selection, accuracy, precision, recall, F1 score, healthcare data, family planning.

Title: DEVELOPMENT OF ENSEMBLE PREDICTIVE MODELS FOR CONTRACEPTIVE UPTAKE IN WOMEN

Author: Joda Shade Christiana, Prof. O.O. Obe, Prof. O.K. Boyinbode, Prof B.N. Olagbuji

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 12, Issue 4, October 2024 - December 2024

Page No: 64-76

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Website: www.researchpublish.com

Published Date: 28-December-2024

Abstract: Contraceptive uptake among women plays a pivotal role in reproductive health outcomes and family planning initiatives worldwide. In recent years, the application of predictive modeling techniques has gained significant attention in understanding and forecasting contraceptive usage patterns. This paper presents a comprehensive review of the latest advancements in the development of ensemble predictive models for contraceptive uptake in women. The review begins with an overview of the global landscape of contraceptive utilization, highlighting the importance of accurate predictive models in addressing various challenges, including unintended pregnancies, maternal mortality, and disparities in access to reproductive healthcare services. Subsequently, the paper delves into the methodological aspects of ensemble modelling, elucidating the principles underlying ensemble learning and its relevance in enhancing predictive accuracy and robustness. Furthermore, the review synthesizes recent studies and methodologies employed in the development of ensemble predictive models for contraceptive uptake. It explores diverse data sources utilized in model training, ranging from demographic and socio-economic indicators to behavioural factors and healthcare utilization patterns. Moreover, the review discusses the integration of advanced statistical techniques, machine learning algorithms, and data fusion methodologies to capture the multifaceted determinants influencing contraceptive decision-making among women. The paper also examines the performance evaluation metrics employed to assess the predictive capabilities of ensemble models, including accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve (AUC-ROC). Moreover, it discusses the implications of ensemble predictive modeling in informing policy-making, resource allocation, and targeted interventions aimed at promoting contraceptive uptake and improving reproductive health outcomes. Additionally, the review highlights the challenges and limitations associated with ensemble predictive modeling in the context of contraceptive uptake, including data quality issues, model interpretability, and ethical considerations related to privacy and confidentiality. It underscores the need for ongoing research efforts to address these challenges and refine predictive models to better serve the needs of diverse populations.

Keywords: Contraceptive, family planning, machine learning, AUC-ROC.

Title: ENSEMBLE PREDICTIVE MODELS FOR CONTRACEPTIVE UPTAKE IN WOMEN

Author: Joda Shade Christiana, Prof. O.O. Obe, Prof. O.K. Boyinbode, Ipaye abiodun

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 12, Issue 4, October 2024 - December 2024

Page No: 56-63

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Website: www.researchpublish.com

Published Date: 12-December-2024

Abstract: Effective software license compliance management is critical for maintaining organizational integrity and mitigating financial risks. This paper explores the transformation of a manual software license compliance review process into an automated solution, encompassing multiple software agreements with various publishers. The new approach simplifies compliance tracking by providing real-time license data and enabling software contract owners to self-manage compliance. This paper provides an overview of traditional compliance methods, the challenges associated with dynamic environments, and the benefits of the newly developed automated solution.

Keywords:  Information Technology, IT Asset Management, compliance, software license.

Title: Automated Solution for Software License Compliance

Author: Bander A. Al-Luhaidan, Fahad S. Al-Mutairi, Khalid A. Al-Khathlan

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 12, Issue 4, October 2024 - December 2024

Page No: 54-55

Research Publish Journals

Website: www.researchpublish.com

Published Date: 11-December-2024

Abstract: In this paper, based on a new multiplication of fractional analytic functions, we use some methods to find a special fractional integral. In fact, our result is a generalization of ordinary calculus result. 

Keywords: New multiplication, fractional analytic functions, special fractional integral.

Title: Research on a Special Fractional Integral

Author: Chii-Huei Yu

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 12, Issue 4, October 2024 - December 2024

Page No: 49-53

Research Publish Journals

Website: www.researchpublish.com

Published Date: 05-December-2024

Abstract: The rapid technical development in the world of software engineering and the rapid and continuous change in user requirements have created the need for software developers and systems analysts to identify and compare the advantages and disadvantages of tools for building software applications, especially modern tools that reduce the cost of developing information systems, and Model Driven Architecture tools are among the most important tools used to reduce the cost of developing information systems. This research is a step forward in identifying these tools that give an idea of the Model Driven Architecture tools that software developers and systems analysts can utilize to reduce the cost of that matter. Several criteria have been proposed to compare IS cost reduction tools, where six tools have been identified by presenting the advantages and disadvantages of each of them according to the proposed criteria. Knowing the most important advantages and disadvantages of these tools and comparing them will help system developers choose the tool that provides them with the required assistance and is compatible with the platform on which they work with the least cost, time, and effort.

Keywords: Model Driven Architecture (MDA) - Model transformation tools – Reducing.

Title: A Proposed Framework for Comparing Tools to Reduce the Cost of Information Systems Development

Author: MOHAMMAD HUSSEIN ALSAIDOMAR, Dr. Khaled Khalifah Allanqawi

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 12, Issue 4, October 2024 - December 2024

Page No: 39-48

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Website: www.researchpublish.com

Published Date: 21-November-2024

Abstract: In this paper, based on a new multiplication of fractional analytic functions, we find the fractional Fourier series of four types of matrix fractional functions. Matrix fractional Euler’s formula and matrix fractional DeMoivre’s formula play important roles in this article. In fact, our results are generalizations of ordinary calculus results. 

Keywords: New multiplication, fractional analytic functions, fractional Fourier series, matrix fractional functions.

Title: A Study on Fractional Fourier Series of Four Types of Matrix Fractional Functions

Author: Chii-Huei Yu

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 12, Issue 4, October 2024 - December 2024

Page No: 34-38

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Website: www.researchpublish.com

Published Date: 18-November-2024

Abstract: In this paper, based on Jumarie’s modified Riemann-Liouville (R-L) fractional integral and a new multiplication of fractional analytic functions, we can find three types of fractional integrals. In fact, our results are generalizations of classical calculus results.

Keywords: Jumarie’s modified R-L fractional integral, new multiplication, fractional analytic functions, fractional integrals.

Title: Using Differentiation under Fractional Integral Sign to Solve Three Types of Fractional Integrals

Author: Chii-Huei Yu

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 12, Issue 4, October 2024 - December 2024

Page No: 26-33

Research Publish Journals

Website: www.researchpublish.com

Published Date: 31-October-2024

Abstract: Traditionally organisations try to adopt to the rapid change in market in order to be able to compete. Thus, the use of Information Technology (IT) was one of the changes that organisations tried to be familiar with and benefit from it. Actually, IT before was uses as a technical tool that simplify the work process and make it smooth and reduce time. Thence, the organisations today that still view IT as a technical tool are the one with low information in market, less capability to compete with organisations that have understand the necessity of IT which become a main partner in the development of any organisation IT have been transformed from a technical tool to a strategic partner which is integrated with business to ensure organisation success. In fact, this research highlights the necessity of IT implementation, the right strategies for its implementation, the significant role of each one in the organisation especially the managers in the success of its implementation, the useful frameworks which can help in its governance. Furthermore, this research proves the benefit of IT and how business and IT are two complementary elements not contradictory where each one complete the other and how IT play a significant role in the increase of organisational performance and help in maintaining the sustainability of the organisation directly or indirectly and in different forms and tools.

More than that, Nowadays, among all the industries in Malaysia the healthcare industry is in rapid and great growth, and it can be considered as a very controversial and sensitive one among the different industries because it relates the economy, the technology and the health care. Thus, the challenge is to supply a high health care quality for patient using the best tools, process and to be on time in addition to the minimum cost possible. Thus, the aim of this research is to investigate the current situation of the health care sector in Malaysia regarding the strategies, policies and the implementation of the technology benefits and the challenges. The findings show an increase of the health information system implementation especially in public hospitals based on an outsourcing strategy and the follow of lean healthcare management and risk management for best implementation. This implementation of HIS has approve its efficiency and benefits by reducing costs and time, better safeguards of patient files and increase in the quality of healthcare in addition that it makes the work process more smooth, organized and accurate.

Keywords: IT strategy, Business strategy, organisational performance, IT frameworks, Malaysian hospitals, HIS, strategy, privacy policy, hospitals performance.

Title: THE CORRELATION BETWEEN THE IMPLEMENTATION OF ICT STRATEGIES AND POLICIES, THE INCREASE OF THE ORGANISATIONAL PERFORMANCE AND THE ENSURE OF THE ORGANISATION SUSTAINABILITY, IN PARTICULAR HEALTH ORGANISATIONS IN MALAYSIA

Author: Dr. Ahmed MOHAMED MAHMOUD

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 12, Issue 4, October 2024 - December 2024

Page No: 12-25

Research Publish Journals

Website: www.researchpublish.com

Published Date: 30-October-2024

Abstract: In this paper, based on Jumarie’s modified Riemann-Liouville (R-L) fractional derivative and a new multiplication of fractional analytic functions, we can find the fractional partial derivatives of some two-variables fractional functions. In fact, our result is a generalization of classical calculus result.

Keywords: Jumarie’s modified R-L fractional derivative, new multiplication, fractional analytic functions, fractional partial derivatives, two-variables fractional functions.

Title: Evaluating the Fractional Partial Derivatives of Some Two-Variables Fractional Functions

Author: Chii-Huei Yu

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 12, Issue 4, October 2024 - December 2024

Page No: 5-11

Research Publish Journals

Website: www.researchpublish.com

Published Date: 21-October-2024

Abstract: With the growth of technologies, interconnected systems and digitalization, establishing an effective information security policy becomes a crucial step for organizations toward protecting their data and information asset from unauthorized access, cyber threats, and data breaches. To ensure the policy is both practical and widely adopted, it should be well-structured, aligned with the organization’s business objectives and clearly communicated. The key steps to endorse and implement effective information security policy include engaging senior management to help prioritize information security across the organization, align with business goals and risk management strategy, communicate and enforce the policy, and conduct regular review and update. This research paper is going to define the information security policy and how to be effective. Also, it will provide the characteristics of successful information security policy, the associated responsibilities with the entities in the organization and the lifecycle of this policy.

Keywords: Information Security Policy, policy lifecycle, Policy Development, Policy Adoption, publication, responsibilities, characteristics.

Title: Effective Information Security Policy

Author: Fahad Jasim Alanezi

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

Vol. 12, Issue 4, October 2024 - December 2024

Page No: 1-4

Research Publish Journals

Website: www.researchpublish.com

Published Date: 05-October-2024