A PREDICTIVE MODEL FOR THE DIAGNOSIS OF HEART DISEASE WITH THE USE OF MACHINE LEARNING TECHNIQUES
📄 Project Abstract
Heart diseases have the highest death toll since 2000. Heart disease on its own is basically a deficiency in the heart of living things and there are multiple kinds of heart diseases such as arrhythmia, atherosclerosis, congenital heart defects, coronary artery disease among many others. This study aims to use machine learning techniques ranging from feature selection, principal component analysis, cross-validation and several machine learning algorithms. Historical data on the distribution of heart disease among patients have been gathered and I acquired this data to be used in this research study. The predictive model for diagnosing heart diseases was developed using several machine learning algorithms.
🔍 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
⭐ Why Choose This Computer Science And Mathematics Project Topics Project?
🎯 Well-Researched
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📊 Complete Data
Includes statistical analysis and detailed findings
✍️ Original Content
100% original research with proper citations
📝 Properly Formatted
APA/MLA formatting with table of contents
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A PREDICTIVE MODEL FOR THE DIAGNOSIS OF HEART DISEASE WITH THE USE OF MACHINE LEARNING TECHNIQUES
Full Citation:
AKPU CHUKWUMA HILARY. (). A PREDICTIVE MODEL FOR THE DIAGNOSIS OF HEART DISEASE WITH THE USE OF MACHINE LEARNING TECHNIQUES. African and General Studies, 40, 14858.
Citation Formats:
APA
AKPU CHUKWUMA HILARY. (). A PREDICTIVE MODEL FOR THE DIAGNOSIS OF HEART DISEASE WITH THE USE OF MACHINE LEARNING TECHNIQUES. African and General Studies, 40, 14858.
MLA
AKPU CHUKWUMA HILARY. "A PREDICTIVE MODEL FOR THE DIAGNOSIS OF HEART DISEASE WITH THE USE OF MACHINE LEARNING TECHNIQUES." African and General Studies, vol. 40, , pp. 14858.
Chicago
AKPU CHUKWUMA HILARY. "A PREDICTIVE MODEL FOR THE DIAGNOSIS OF HEART DISEASE WITH THE USE OF MACHINE LEARNING TECHNIQUES." African and General Studies 40 (): 14858.
Full Citation:
AKPU CHUKWUMA HILARY. (). A PREDICTIVE MODEL FOR THE DIAGNOSIS OF HEART DISEASE WITH THE USE OF MACHINE LEARNING TECHNIQUES. African and General Studies, 40, 14858.
Citation Formats:
APA
AKPU CHUKWUMA HILARY. (). A PREDICTIVE MODEL FOR THE DIAGNOSIS OF HEART DISEASE WITH THE USE OF MACHINE LEARNING TECHNIQUES. African and General Studies, 40, 14858.
MLA
AKPU CHUKWUMA HILARY. "A PREDICTIVE MODEL FOR THE DIAGNOSIS OF HEART DISEASE WITH THE USE OF MACHINE LEARNING TECHNIQUES." African and General Studies, vol. 40, , pp. 14858.
Chicago
AKPU CHUKWUMA HILARY. "A PREDICTIVE MODEL FOR THE DIAGNOSIS OF HEART DISEASE WITH THE USE OF MACHINE LEARNING TECHNIQUES." African and General Studies 40 (): 14858.
Document Details
| Author | AKPU CHUKWUMA HILARY |
|---|---|
| 📁 Field | Computer Science And Mathematics Project Topics |
| 🏷️ Type | Science Project Topics |
| Pages | 59 Pages |
| Words | 8479 words |
| 📘 Chapters | 1 to 5 Chapters |