Job request: 1350
- Organisation:
- Bennett Institute
- Workspace:
- hospital-admissions-validation
- ID:
- ujgal5rmydlpf6s6
This page shows the technical details of what happened when the authorised researcher Louis Fisher requested one or more actions to be run against real patient data in the project, within a secure environment.
By cross-referencing the list of jobs with the
pipeline section below, you can infer what
security level
various outputs were written to. Researchers can never directly
view outputs marked as
highly_sensitive
;
they can only request that code runs against them. Outputs
marked as
moderately_sensitive
can be viewed by an approved researcher by logging into a highly
secure environment. Only outputs marked as
moderately_sensitive
can be requested for release to the public, via a controlled
output review service.
Jobs
-
- Job identifier:
-
6kjz2nvf5auic3ol
-
- Job identifier:
-
i6mngeqnpcrgsxen
-
- Job identifier:
-
7suknmsw2e3k4prp
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 10000
actions:
generate_study_population_descriptives:
run: cohortextractor:latest generate_cohort --study-definition study_definition_descriptives
outputs:
highly_sensitive:
cohort: output/input_descriptives.csv
generate_study_population:
run: cohortextractor:latest generate_cohort --study-definition study_definition
outputs:
highly_sensitive:
cohort: output/input.csv
generate_results:
run: python:latest python analysis/generate_results.py
needs: [generate_study_population, generate_study_population_descriptives]
outputs:
moderately_sensitive:
ae_attendance_count_dict: output/num_ae_attendances.json
hosp_dict: output/emergency_hospitalisation.json
ae_dict: output/ae.json
discharge_csv: output/discharge_destination.csv
performance_dict: output/model_performance.json
sensitivity_dict: output/sensitivity.json
model_csvs: output/model_*.csv
# generate_notebook:
# run: jupyter:latest jupyter nbconvert /workspace/analysis/results.ipynb --execute --to html --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
# needs: [generate_study_population]
# outputs:
# moderately_sensitive:
# notebook: output/results.html
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 00:04:55
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job information
- Status
-
Succeeded
- Backend
- TPP
- Workspace
- hospital-admissions-validation
- Requested by
- Louis Fisher
- Branch
- secondary
- Force run dependencies
- No
- Git commit hash
- ff9112f
- Requested actions
-
-
generate_study_population_descriptives
-
generate_study_population
-
generate_results
-
run_all
-
Code comparison
Compare the code used in this Job Request
- No previous Job Request available for comparison