Utilising Machine Learning for Better Mental Health and Decision Making: A Case Study of Timebanking UK

This study explores how the integration of predictive models with machine learning and natural language processing can optimise community-based service operations, using Timebanking UK as a case study. The research evaluated these models in terms of their effectiveness in enhancing service matching, automating text classification, and improving interaction quality. Additionally, the study addressed privacy concerns using synthetic data generation. The findings indicate that data-driven approaches can streamline service delivery, mitigate social isolation, and foster community engagement. This provides a framework for the broader application of predictive models within community and health systems.

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Publication Details

Journal
Studies in health technology and informatics
Published
2025-05-15
DOI
https://doi.org/10.3233/shti250397
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
0.00
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article

Utilising Machine Learning for Better Mental Health and Decision Making: A Case Study of Timebanking UK

Alaa Mohasseb, Richard Curry, Rinat Khusainov, Fatima Chiroma
Studies in health technology and informatics
Health disparities and outcomes
article

Utilising Machine Learning for Better Mental Health and Decision Making: A Case Study of Timebanking UK

Alaa Mohasseb, Richard Curry, Rinat Khusainov, Fatima Chiroma
article en

Abstract

This study explores how the integration of predictive models with machine learning and natural language processing can optimise community-based service operations, using Timebanking UK as a case study. The research evaluated these models in terms of their effectiveness in enhancing service matching, automating text classification, and improving interaction quality. Additionally, the study addressed privacy concerns using synthetic data generation. The findings indicate that data-driven approaches can streamline service delivery, mitigate social isolation, and foster community engagement. This provides a framework for the broader application of predictive models within community and health systems.

Studies in health technology and informaticsVol. 327
University of Portsmouth (GB)
Peace, Justice and strong institutions
Openalex Percentile: Top 79%
Health disparities and outcomes
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