DEVELOPMENT OF A PREDICTIVE MODEL FOR THE RISK OF TYPHOID USING DATA MINING TECHNIQUES
📄 Project Abstract
Typhoid fever, also called enteric fever, is caused by Salmonella enterica serovarTyphi, a gram-negative bacterium. Estimates for 2000 suggest that around 21.5 million infections and 200 thousand fatalities due to typhoid fever are reported worldwide every year. Typhoid fever and paratyphoid fever, especially Among Nigerian kids and adolescents, keep being significant causes of disease and death. The aim of this study is to use Techniques for Data Mining to develop a Typhoid risk predictive model in Nigerians using relevant risk factors. Historical data on the distribution of typhoid risk among participants were gathered using questionnaires after medical professionals identified linked typhoid risk variables. The predictive model for typhoid risk was developed using the algorithm for decision trees to define and account for variables linked to typhoid risk The Waikato Environment for Knowledge Analysis (WEKA) software - a suite of machine learning algorithms was used to develop the pr...
🔍 Key Research Areas Covered
- ✅ Literature Review & Theoretical Framework
- ✅ Research Methodology & Data Collection
- ✅ Data Analysis & Statistical Methods
- ✅ Findings & Results Discussion
- ✅ Recommendations & Conclusions
- ✅ References & Bibliography
📚 Complete Project Structure
- Problem Statement & Objectives
- Theoretical Framework & Related Studies
- Data Collection & Analysis Methods
- Findings & Statistical Analysis
- Recommendations & Future Research
- Questionnaires, Data, References
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DEVELOPMENT OF A PREDICTIVE MODEL FOR THE RISK OF TYPHOID USING DATA MINING TECHNIQUES
Full Citation:
JACOB OLAMIDE ABOLAJI. (). DEVELOPMENT OF A PREDICTIVE MODEL FOR THE RISK OF TYPHOID USING DATA MINING TECHNIQUES. African and General Studies, 40, 14858.
Citation Formats:
APA
JACOB OLAMIDE ABOLAJI. (). DEVELOPMENT OF A PREDICTIVE MODEL FOR THE RISK OF TYPHOID USING DATA MINING TECHNIQUES. African and General Studies, 40, 14858.
MLA
JACOB OLAMIDE ABOLAJI. "DEVELOPMENT OF A PREDICTIVE MODEL FOR THE RISK OF TYPHOID USING DATA MINING TECHNIQUES." African and General Studies, vol. 40, , pp. 14858.
Chicago
JACOB OLAMIDE ABOLAJI. "DEVELOPMENT OF A PREDICTIVE MODEL FOR THE RISK OF TYPHOID USING DATA MINING TECHNIQUES." African and General Studies 40 (): 14858.
Full Citation:
JACOB OLAMIDE ABOLAJI. (). DEVELOPMENT OF A PREDICTIVE MODEL FOR THE RISK OF TYPHOID USING DATA MINING TECHNIQUES. African and General Studies, 40, 14858.
Citation Formats:
APA
JACOB OLAMIDE ABOLAJI. (). DEVELOPMENT OF A PREDICTIVE MODEL FOR THE RISK OF TYPHOID USING DATA MINING TECHNIQUES. African and General Studies, 40, 14858.
MLA
JACOB OLAMIDE ABOLAJI. "DEVELOPMENT OF A PREDICTIVE MODEL FOR THE RISK OF TYPHOID USING DATA MINING TECHNIQUES." African and General Studies, vol. 40, , pp. 14858.
Chicago
JACOB OLAMIDE ABOLAJI. "DEVELOPMENT OF A PREDICTIVE MODEL FOR THE RISK OF TYPHOID USING DATA MINING TECHNIQUES." African and General Studies 40 (): 14858.
Document Details
| Author | JACOB OLAMIDE ABOLAJI |
|---|---|
| 📁 Field | Computer Science And Mathematics Project Topics |
| 🏷️ Type | Science Project Topics |
| Pages | 85 Pages |
| Words | 18360 words |
| 📘 Chapters | 1 to 5 Chapters |