Health Monitoring System using Ensemble based Learning Mechanism

One great tool that could potentially save lives is the Health Monitoring System. It uses transmitters to collect data, which it then wirelessly sends to a receiver. It is far more advantageous than the bulky machinery that many hospitals continue to use daily to review patient medical records. To forecast the disease stage, an ensemble model combining models such as Deep Boltzmann Machine Network (DBM), Deep Belief Network (DBN), and Support Vector Machine (SVM). In the experiment investigation, the DBM-DBM based ensemble model performs remarkably well, providing a much more compelling explanation and default prediction.