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Implement algorithm for conversion of mobile data #23

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jendakol opened this issue Mar 17, 2020 · 3 comments
Open

Implement algorithm for conversion of mobile data #23

jendakol opened this issue Mar 17, 2020 · 3 comments
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@jendakol
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jendakol commented Mar 17, 2020

We're provided raw mobile data and we need to convert them to a usable format. The algorithm is a function f(x, y) = z where x is a strength of the signal from the device, y time period they spent together and z boolean response (infected or not). The algorithm is described in the attachment.
test.xlsx

@jendakol jendakol added the enhancement New feature or request label Mar 17, 2020
@jendakol jendakol added this to the MVP milestone Mar 17, 2020
@jendakol jendakol added this to To Do in Backend via automation Mar 17, 2020
@JanPetr JanPetr self-assigned this Mar 18, 2020
@Foxlik
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Foxlik commented Mar 18, 2020

Is boolean output a good idea? It makes sense to me to split this to
f(x, y) = z and g(z) = w where z is some dimension-less number and g(z) can be easily scaled ...

@JanPetr
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JanPetr commented Mar 18, 2020

In the end it'll look something like that, @Foxlik. One function will calculate a number based on the XSL file and the other will check the number and say whether infected or not.

@jendakol
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No problem with that @Foxlik

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