Projects
Long Stayer Risk StratificationCT Alignment and Lesion DetectionBed allocationAI DictionarySynthetic DataNursing Placement Schedule OptimisationLong Stayer Risk Stratification baselineAmbulance Handover Delay PredictorParkinson's Disease Pathology PredictionRenal Health PredictionAdrenal Lesions DetectionOpen SafelyNWASNegligence Claims PredictionRecruitment ShortlistingAutomating Clinical coding
Case Study Archive
Team
Long Stayer Risk Stratification
Machine learning using historical data from Gloucestershire Hospitals NHS Foundation Trust to predict how long a patient will stay in hospital upon admission.
LoS
length of stay
neural network
risk model
As the successful candidate from the AI Skunkworks problem-sourcing programme, Long Stayer Risk Stratification was first picked as a pilot project for the AI Skunkworks team in April 2021.
Results
A proof-of-concept demonstrator written in Python (machine learning model and backend), and HTML/CSS/JavaScript (frontend).
Output | Link |
---|---|
Open Source Code & Documentation | Github |
Case Study | Case Study |
Technical report | On request: ai-skunkworks@nhsx.nhs.uk |