Now that the states have significant amounts of targeted data from the ongoing coronavirus outbreak, they should use them to develop Artificial Intelligence (AI) models to identify and establish true risk curves. Developing the risk tranches based merely on age and medical conditions is inadequate.
In partnership with the private sector, states need to immediately assemble task forces comprising leading AI engineers and data scientists. Such AI models will not only save thousands of lives until vaccines are available for the masses, but they will also help define better data standards and architectures to prepare for future pandemics.
We must learn from our current experience that there is no room for trial and error experiments after the outbreak. We must be ready to leverage our existing preventive modeling infrastructure. The absence of such advanced preventive modeling infrastructure today paved the way for the vast loss of lives.
Advantages of such AI modeling...
1. Instead of one-size-fits-all national models, Ai models will surgically identify the risk clusters in each state, taking into consideration the local population (risk) attributes. For instance, the model that works effectively in MA may not necessarily be that effective in FL. This type of AI-based bottom-up modeling would be far more effective than the "tweaked' top-down (national or even regional) models to fit the requirements of individual states.
2. These state-level AI models will help states manage their resources in a more forward-looking and scientifically-aggressive manner, without having to be guided by some national level make-shift task force with a generic, perhaps inexact, knowledgebase. Thus, the state governors would be empowered upfront.
3. Such advanced pandemic modeling infrastructure will free up the state health departments to focus on deployment and implementation, which in turn will save lives. It will also require far less taxpayer funding, which is usually committed to such lower-level research and modeling.
4. This type of modeling expertise will lead to better sharing of resources depending on the intensity and direction of the outbreak. Just like the weather forecast models, these AI models will predict the outbreak before they happen, allowing meaningful deployment of resources to reduce the severity, as well as the clean-up and prevention of renewed outbreaks.
5. The AI model could easily help robotize or, at least, automate testing and immunization centers around the states so the emergency rooms and doctors' offices are not overwhelmed with these basic services.
It's time we allow AI to take the lead in fending off future pandemics.
Stay safe!
-Sid Som
homequant@gmail.com
In partnership with the private sector, states need to immediately assemble task forces comprising leading AI engineers and data scientists. Such AI models will not only save thousands of lives until vaccines are available for the masses, but they will also help define better data standards and architectures to prepare for future pandemics.
We must learn from our current experience that there is no room for trial and error experiments after the outbreak. We must be ready to leverage our existing preventive modeling infrastructure. The absence of such advanced preventive modeling infrastructure today paved the way for the vast loss of lives.
Advantages of such AI modeling...
1. Instead of one-size-fits-all national models, Ai models will surgically identify the risk clusters in each state, taking into consideration the local population (risk) attributes. For instance, the model that works effectively in MA may not necessarily be that effective in FL. This type of AI-based bottom-up modeling would be far more effective than the "tweaked' top-down (national or even regional) models to fit the requirements of individual states.
2. These state-level AI models will help states manage their resources in a more forward-looking and scientifically-aggressive manner, without having to be guided by some national level make-shift task force with a generic, perhaps inexact, knowledgebase. Thus, the state governors would be empowered upfront.
3. Such advanced pandemic modeling infrastructure will free up the state health departments to focus on deployment and implementation, which in turn will save lives. It will also require far less taxpayer funding, which is usually committed to such lower-level research and modeling.
4. This type of modeling expertise will lead to better sharing of resources depending on the intensity and direction of the outbreak. Just like the weather forecast models, these AI models will predict the outbreak before they happen, allowing meaningful deployment of resources to reduce the severity, as well as the clean-up and prevention of renewed outbreaks.
5. The AI model could easily help robotize or, at least, automate testing and immunization centers around the states so the emergency rooms and doctors' offices are not overwhelmed with these basic services.
It's time we allow AI to take the lead in fending off future pandemics.
Stay safe!
-Sid Som
homequant@gmail.com
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