4 citations · 6 across the 3 of their papers we have counts for
3 papers
Application of Machine Learning in Early Recommendation of Cardiac Resynchronization Therapy
Brendan E. Odigwe, Francis G. Spinale, Homayoun Valafar
Heart failure (HF) is a leading cause of morbidity, mortality, and health care costs. Prolonged conduction through the myocardium can occur with HF, and a device-driven approach, t…
Automated Analysis of Femoral Artery Calcification Using Machine Learning Techniques
Liang Zhao, Brendan Odigwe, Susan Lessner +3
We report an object tracking algorithm that combines geometrical constraints, thresholding, and motion detection for tracking of the descending aorta and the network of major arter…
Modelling of Sickle Cell Anemia Patients Response to Hydroxyurea using Artificial Neural Networks
Brendan E. Odigwe, Jesuloluwa S. Eyitayo, Celestine I. Odigwe +1
Hydroxyurea (HU) has been shown to be effective in alleviating the symptoms of Sickle Cell Anemia disease. While Hydroxyurea reduces the complications associated with Sickle Cell A…