Proactive Machine Learning and MBSE for Planning and Aid

There are many parts of the world with fragile healthcare systems.

The proposed solution has two approaches to address the issue:

The first is to utilize machine learning for forecasting the possible future needs of fragile healthcare systems as well as to assess the actuarial risk in terms of health issues for participants in the same healthcare system.

The second is to attempt to solve the problems faced by fragile healthcare systems by means of systems engineering, specifically model-based systems engineering.

The solution would serve participants in different parts of the world who are part of fragile healthcare systems.

The idea appears to be accessible and innovative.

There are not any people, at this moment, being currently served.

The proposed solution could help many people.

The core technologies are machine learning and model-based systems engineering.

The business model is to create an educational program which would allow communities to be able to manage fragile health systems. One approach planned for communities to be able to apply what was called Epoch-Era Analysis and the Pareto Frontier to evaluate and manage medical care situations.

The plan for financial sustainability is to offer the developed system for free for communities in need of help as a fee-based service to upscale medical centers.