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Last pushed: a year ago
Short Description
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Full Description


Predicting patients' health and future costs with claims data and socio-economic data


The basic structure is:

- predict outcome only with claims diagnosis data
    - get error measure A
- predict outcome with claims data and socio-economic data
    - get error measure B

See if error measure B < error measure A.

  • Need to check if we require some sort of normalisation because model B uses more parameters.

We want the improvement to be at least a few percentage points. This is still vague.

Some details

Outcome variable is open at this stage. It will be easy to swap around.

- Next visit's health status
- Time to next visit
- Costs of next visit, next twelve months' cost

This is not a technical challenge, it's really depends on how well the data works.

Model is a time series model, as we have visits over time.


Completed Task
Get base data
Get ACS data
Decide on model structure
Run model A
Run model B
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