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Job request: 19607

Organisation:
University of Manchester
Workspace:
adverse-event-prediction-model
ID:
s5exhvwmu47ww4vc
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Billy Zhong requested one or more actions to be run against real patient data within a secure environment.

By cross-referencing the list of jobs with the pipeline section below, you can infer what security level the outputs were written to.

The output security levels are:

  • highly_sensitive
    • Researchers can never directly view these outputs
    • Researchers can only request code is run against them
  • moderately_sensitive
    • Can be viewed by an approved researcher by logging into a highly secure environment
    • These are the only outputs that can be requested for public release via a controlled output review service.

Jobs

Pipeline

Show project.yaml 
version: '3.0'

expectations:
  population_size: 30000

actions:
### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ###
### study cohort ###

  generate_study_population_period_1:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_period_1
    outputs:
      highly_sensitive:
        cohort: output/input_period_1.csv

  period_1_process:
    run: r:latest analysis/period_1_process.R
    needs: [generate_study_population_period_1]
    outputs:
      highly_sensitive: 
        csv1: output/period_1a.csv
        csv2: output/period_1_*.csv

  generate_study_population_period_1b:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_period_1b
    needs: [period_1_process]
    outputs:
      highly_sensitive:
        cohort: output/input_period_1b.csv

  period_1b_quickcheck:
    run: r:latest analysis/period_1b_quickcheck.R
    needs: [generate_study_population_period_1b]
    outputs:
      highly_sensitive: 
        csv1: output/period_1b_quickcheck.csv

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:05:28

These timestamps are generated and stored using the UTC timezone on the TPP backend.

Job request

Status
Succeeded
Backend
TPP
Workspace
adverse-event-prediction-model
Requested by
Billy Zhong
Branch
ae_prediction
Force run dependencies
No
Git commit hash
fb7a185
Requested actions
  • period_1_process

Code comparison

Compare the code used in this job request