Predictive Analytics using MATLAB for Biomedical Applications

Professor Ashok Kumar is at the Department of Electrical & Electronics Eng., PSG College of Technology. He is Associate Head of Department and his is current research focuses are Integration of Renewable Energy Systems in the Smart Grid and Wearable Electronics. He has 3 years of industrial experience and 17 years of academic and research experiences. He has authored 9 books, published 110 technical papers in International and National Journals and presented 107 papers in National and International Conferences.

1. Introduction to the art of predictive analysis
2. Prognostic insights: predictive analytics in nephrological diseases
3. Harnessing predictive analytics for cardiovascular diseases
4. Predictive analytics in breast cancer prognosis
5. Predicting Parkinson’s: analyzing patterns with data and analytics
6. Predictive analytics for diabetes mellitus: illuminating glucose horizons
7. From data to diagnosis: predictive analytics in liver ailments
8. Predictive analytics in Alzheimer’s disease: pioneering memory projection
9. Prostate cancer prognostication: insights from predictive analytics
10. Leveraging predictive analytics for asthma management
11. Predictive analytics for brain tumor detection and prognosis
12. A comprehensive overview of predictive analytics in biomedical applications