Williams, Elizabeth, Gartner, Daniel and Harper, Paul 2022. Linking predictive and prescriptive analytics of elderly and frail patient hospital services. Presented at: 10th IEEE International Conference on Healthcare Informatics (ICHI 2022), Rochester, MN, United States, 11-14 June 2022. |
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Abstract
Predictive and prescriptive techniques are being evaluated to predict demand for inpatient services within South East Wales. This work is specifically focusing on multi-site hospital services for elderly and frail patients, using classification and regression trees to determine patient clusters with similar attributes, yielding results of up to 89.62% accuracy. By incorporating these results into mathematical models we aim to quantify the value of incorporating the clustering results in a deterministic and stochastic mathematical programme. Index Terms—Machine Learning, Mathe
Item Type: | Conference or Workshop Item (Paper) |
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Date Type: | Published Online |
Status: | In Press |
Schools: | Mathematics |
Uncontrolled Keywords: | Machine Learning, Mathematical Programming, Stochastic Programming |
Additional Information: | https://ohnlp.github.io/IEEEICHI2022/ |
Funders: | KESS2 |
Date of First Compliant Deposit: | 13 May 2022 |
Date of Acceptance: | 31 March 2022 |
Last Modified: | 15 Jun 2022 01:30 |
URI: | https://orca.cardiff.ac.uk/id/eprint/149326 |
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