We are looking into developing a platform where we can have a range of individual variables (demographic, clinical, family etc.) for each patient and this information that can be used for predictive modelling for different diseases and their progression within individual patient.
- Predictive analysis is an important component of clinical research. It involves both disease prediction and severity or prognosis. In summary, we will be working on developing a chronic disease management platform that will have data description, analysis and visualization for each patient as well as a group or subgroup of patients.
- Several supervised machine learning algorithms such as Import Dataset into Jupyter Notebook Environment, Dataset Preprocessing, Classifier Selection, Parameter Selection and Optimizations, Testing and Performance Metrics and Visualize Results will be used. The best algorithm will be used for predictive analysis.