Diagnosis and Identification of Risk Factors for Heart Disease Patients Using Generalized Additive Model and Data Mining Techniques

Conclusion: The present article attempt to remove some new information regarding heart disease through probabilistic modeling which may provide better assistance for treatment decision making using the individual patient risk factors and the benefits of a specific treatment. These findings may help the medical practitioners for better medical treatment.Keywords:Data Mining,GAM.,heart disease,MLPE,Sensitivity analysis,SVMView:PDF (527.98 KB)Click here to download the PDF file.‹ Treatment Optimization in Newly Diagnosed Hypertensives using WHO/ISH Cardiovascular Risk Prediction Chart: Findings from ‘Great Indian BP Survey’, PuducherryMetabolic Syndrome among Apparently Healthy Nigerians with the Harmonized Criteria: Prevalence and Concordance with the (IDF) and Third Report of the (NCEP-ATP III) Criteria ›

Source: Journal of Cardiovascular Disease Research - October 17, 2017 Category: Cardiology Authors: yunus Source Type: research