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In Kenya there is an initiative called beyond zero that give each county a mobile clinic with the hope of reducing maternal death. If all the pregnant women are registered and their pregnancy monitored, can one create a predictive model for strategically placing the mobile clinic?

Tags: nanlysis, predictive

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Hi,

Can you explain your question? What data do you want to monitor ? What kind of model you are interested ?

I was thinking that if one can have all the pregnant women due dates and their location, we can have a visualization of all the women who could deliver that day. Then we send the mobile clinic to be around that place just in case there is a complication. By doing this, we will be reducing the time taken for the mobile clinic to respond to calls. I hope that is clear. I would like to use it as my project to learn machine learning. I am trying to see its feasibility

Claudio Martines said:

Hi,

Can you explain your question? What data do you want to monitor ? What kind of model you are interested ?

The idea is very interesting. The project seems feasible and you can use different techniques to be able to achieve it.
I recently developed along with some colleagues, a open-source widget for process geo-referenced signals and show them on a heatmap. The link below is an example of use with wheather data but you can use it with every kind of data.

Geo Referenced Map

Thanks Claudio. i will look at it deeper and create a plan of execution. Hopefully it will work



Claudio Martines said:

The idea is very interesting. The project seems feasible and you can use different techniques to be able to achieve it.
I recently developed along with some colleagues, a open-source widget for process geo-referenced signals and show them on a heatmap. The link below is an example of use with wheather data but you can use it with every kind of data.

Geo Referenced Map

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