Procedure Computation Instance
Get a list of ProcedureComputation objects. ProcedureComputations have a 1:1 mapping with Observations.
### Available end points:
- `/ProcedureComputations/` - Will list all ProcedureComputations in the database
- `/ProcedureComputations.json` - Will return all ProcedureComputations in json format
- `/ProcedureComputations/<object_id>/` - Returns ProcedureComputations object with that id
### Available Methods:
- `GET`
- `HEAD`
### Available filters:
- `uuid`
- `title`
- `keywords`
- `abstract`
### How to use filters:
These filters can be used like django query filters using __ for related model relationships.
- `/computations/?uuid=d594d53df2612bbd89c2e0e770b5c1a0`
- `/computations/?title__startswith!=DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE`
- `/computations/?abstract__contains=HadCM3 model`
GET /api/v2/computations/40328/?format=api
{
"ob_id": 40328,
"uuid": "64e362ad3e4040d7a2772d16cc2d04ab",
"title": "Distributed Lag Non-linear Model (DLNM)",
"abstract": "Statistical regression using distributed lag non-linear model is fully described in Gasparrini, Armstrong and Kenward, 2010, and Vicedo-Cabrera, Sera and Gasparrini, 2019.\r\nComputation details for Temperature-attributable mortality (and hospital admission) time series, UK (1900-2099) dataset.\r\nModel setup: natural cubic splines in all dimensions, 3 log-spaced knots in lag dimension, 8 degrees of freedom per year in long-term trend, confounding by day of week.\r\n\r\n- Mortality: temperature knots at 0.1, 0.75, 0.9 quantiles, 21 lag days.\r\n\r\n- Hospital admission: temperature knots at 0.4, 0.9 quantiles, 28 lag days.",
"keywords": "",
"inputDescription": null,
"outputDescription": null,
"softwareReference": null,
"identifier_set": []
}