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

Year: 2025

Type: book-chapter

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.

Source: Studies in health technology and informatics

DOI: 10.3233/shti250397

Authors: Alaa Mohasseb, Fatima Chiroma, Rinat Khusainov, Richard Curry

Institution: University of Portsmouth

Language: English

Topic: Artificial Intelligence in Healthcare

Subfield: Health Information Management

Field: Health Professions

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4410447915

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