0704-883-0675     |      dataprojectng@gmail.com

A HYBRID MODEL FOR PREDICTING MALARIA USING DATA MINING TECHNIQUES

  • Project Research
  • 1-5 Chapters
  • Abstract : Available
  • Table of Content: Available
  • Reference Style: APA
  • Recommended for : Student Researchers
  • NGN 5000

ABSTRACT

Data mining is used in extracting rules to predict certain information in many areas of Information Technology, medical science, biology, education, and human resources. Data mining can be applied on medical data to foresee novel, useful and potential knowledge that can save a life, reduce treatment cost, increases diagnostic and prediction accuracy as well as save human resources. Data mining involve several techniques such as anomaly detection, classification, regression, clustering, time series analysis, association rule, and summarization. Classification is the most important application of data mining. In this thesis, we use a classification technique called Naïve Bayes (a supervised learner) to build a hybrid framework for classifying and predicting the status of only malaria and their complications in a suspect patient using their clinical presentation. For the purpose of this study, we considered the parameter: fever, headache, nausea, vomiting, respiratory distress, convulsion, and coma as the main distinct clinical symptom. This method has the relative advantage of easy to construct, can classify categorical data, and occurrences of an event (attributes) are independent, and work better on high dimensional data. The framework developed was divided into two phases Classification Phase 1, Classification Phase 2 and is implemented using Java built on Weka library version 3.8.0. The framework was trained using data acquired from hospital and tested for performance accuracy using Receiver Operating Characteristic (ROC) and Confusion Matrix (CM). The results demonstrated that the system predicted accurately with performance accuracy of 90%, 98% on confusion matrix and 92%, 99% on ROC-Area under Curve (ROC-AUC) for Classification Phase 1 and Classification Phase 2 respectively. This means that ROC presented more optimal result than confusion matrix and such system should be useful for rural area where clinician or medical equipment are is not available to assist in predicting malaria is suspected malaria patient.




FIND OTHER RELATED TOPICS


Related Project Materials

TEENAGE PREGNANCY AND ITS EFFECTS ON ACADEMICS

ABSTRACT

This study was carried out to examine teenage pregnancy and its effects on academics in selected secondary scho...

Read more
The effect of mobile-optimized content on customer acquisition: A study of an e-commerce website in Kaduna, Nigeria.

Background of the study   
Mobile-optimized content is critical in today’s digital landsca...

Read more
An Appraisal of the Impact of Mobile Immunization Clinics in Hard-to-Reach Areas of Taraba State

Background of the Study

Mobile immunization clinics (MICs) have been established to improve vaccine access in hard-to-reach areas where t...

Read more
The impact of digital tools on Igbo translation efficiency in online news platforms

Background of the study
Digital tools such as AI-driven translation software, automated speech recognitio...

Read more
The effect of workplace harassment on job satisfaction among female workers in Ota Local Government Area, Ogun State

Background of the study
Workplace harassment is a pervasive issue affecting employee well-being and job satisfaction, espec...

Read more
The Impact of Infection Prevention Training on Nurses’ Adherence to Standard Precautions at Federal Medical Centre, Birnin Kebbi

Background of the Study

Healthcare-associated infections (HAIs) remain a significant public health challenge worldwide, with severe conse...

Read more
Public Perception of Media Bias in Election Coverage in Yola North LGA, Adamawa State

Background of the Study

In democracies worldwide, the media plays a crucial role in shaping public perception of electio...

Read more
The Role of Radio in Mobilizing Community Support for Health Infrastructure: A Case Study of Ngor Okpala Local Government Area, Borno State

Chapter One: Introduction

1.1 Background of the Study

SKILLS COMPETENCE AND ICT INTEGRATION IN TEACHER EDUCATION

ABSTRACT

The study investigated the level of Skills Proficiency and ICT Integration in Lecturer educati...

Read more
An Appraisal of Nutritional Interventions in Reducing Hospital-Acquired Infections in Kogi State

Background of the Study

Hospital-acquired infections (HAIs), also known as nosocomial infections, are a...

Read more
Share this page with your friends




whatsapp