Computer-Assisted Diagnoses: Diabetes and Cardiovascular Disease

Computer-Assisted Diagnosis: Diabetes and Cardiovascular Risk brings together multifaceted information on research and clinical applications from an academic, clinical, bioengineering and bioinformatics perspective. The editors provides a stellar, diverse list of authors to explore this interesting field. Academic researchers, bioengineers, new investigators and students interested in diabetes and heart disease need an authoritative reference to reduce the amount of time spent on source-searching so they can spend more time on actual research and clinical application. This reference accomplishes this with contributions by authors from around the world. Provides valuable information for academic clinicians, researchers, bioengineers and industry on diabetes and cardiovascular diseaseDiscusses the impact of diabetes on cardiovascular diseaseCovers statistical classification techniques and risk stratification INDICE: 1. Impact of Diabetes on Cardiovascular Disease2. Statistical Classification Techniques for Risk Stratification of Pima Diabetic Data3. The role of PKCß in diabetes mellitus-accelerated atherosclerosis4. Cardiovascular risk factors in diabetes: Focus on hypoglycemia, dyslipidemia, weight and cardiovascular disease5. Effect on myocardial ischemia reperfusion injury in type 2 diabetes 6. Hypertension in diabetes and the risk of cardiovascular disease7. Diabetes-mediated myelopoiesis and the relationship to cardiovascular risk8. Getting to the Heart of the Matter on Diabetic Cardiovascular Disease9. Gender and diabetes mellitus in the coronary heart disease risk10. Synergistic and Non-synergistic Associations for Cigarette Smoking and Non-tobacco Risk Factors for Cardiovascular Disease Incidence11. Diabetes treatments and risk of heart failure, cardiovascular disease, and all-cause mortality12. Implication of Median-based approaches for missing value and outlier removal to improve the machine learning performance in Pima Diabetic Data

• ISBN: 978-0-12-817428-9
• Editorial: Elsevier
• Encuadernacion: Rústica
• Páginas: 450
• Fecha Publicación: 01/06/2020
• Nº Volúmenes: 1
• Idioma: Inglés