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Emergency Readmission Risk Model

Bronze Quality 75% Data Science Public repository Also listed on HSMA Atlas

Organisation: NHS Example University Hospitals · Project type: Exploratory Research & Model Training

Notebooks and training code for a model predicting 30-day emergency readmission risk from routinely collected admission data. Shared for the feature engineering and evaluation approach rather than the fitted model.

Reusability tier

Bronze

Clean repository with pinned dependencies and feature engineering grouped into a helpers module, but notebooks still contain trust-specific cohort definitions that need rewriting for other data.

Synthetic example

This entry is test data for the demo. The links below do not lead to real code, and any resemblance to real projects or packages is coincidental.

Quality score

This entry scores 75 of 100 for metadata quality. The score measures how complete and current the catalogue entry is, not the code itself; the reusability tier covers the code. Improving the metadata raises the score.

Criterion Points Met
Description of 100 characters or more 10 yes
Two or more tags 10 yes
Tier rationale provided 10 yes
SUL layers declared 10 yes
Updated within the last 18 months 15 yes
Platforms listed 5 yes
Owning organisation named 5 yes
Public repository 10 yes
Documentation link 15 no
Installable package link 10 no

SUL principle

How this entry maps to the SUL principle:

Element Description Included
Structural Templates, folder structures, project skeletons no
Utility Generic helper functions decoupled from project logic yes
Logic Bespoke project-specific code, clearly separated yes

Details

Field Value
Category Data Science
Language(s) Python
Platform(s) jupyter databricks
Tags readmissions machine-learning risk-prediction secondary-care feature-engineering
Date added 2026-02-05
Last updated 2026-03-22

Contact

ds-research@example-uh.nhs.uk

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