Machine Learning-Based Clinical Decision Support Systems in Dementia Care

Ritwik Raj Saxena, Arshia Khan

2025

Abstract

Clinical Decision Support Systems (CDSSs) enabled by machine learning (ML), particularly those based on deep learning (DL), are revolutionizing dementia care by offering advanced capabilities that go beyond the capacities of manual CDSSs, rule-based CDSSs, and statistical CDSSs. This paper explores unique applications of ML in dementia care. It focuses on areas where ML-based, especially DL-based (neural network-based) CDSSs currently excel and can potentially be of relevance. Unlike conventional CDSSs, which evidently struggle with the complexities of large, heterogeneous datasets, ML models, particularly DL-based ones, are capable of better identifying hidden patterns and subtle relationships across diverse genetic and multi-omic, clinical, behavioural, socioeconomical and cultural, and environmental data. These systems also extend their utility beyond clinical decision-making and caregiver wellbeing through tailored support recommendations and aiding hospital administrators in resource mobilization, staff augmentation, and policy formulation. However, challenges such as model interpretability, extensive data requirements, and infrastructure limitations must be addressed. This article highlights the importance of a collaborative approach, where various stakeholders in dementia come together to pool data and recommendations that would assist in inculcating comprehensiveness and inclusivity in future CDSSs. We hypothesize that as DL continues to showcase its decided prowess in the arena of decision-making, its applications in CDSSs will keep playing an exceedingly pivotal role in advancing the efficacy of dementia care, improving patient outcomes, and shaping the future of healthcare.

Paper Citation

in Harvard Style

Saxena R. and Khan A. (2025). Machine Learning-Based Clinical Decision Support Systems in Dementia Care. In Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF; ISBN 978-989-758-731-3, SciTePress, pages 664-671. DOI: 10.5220/0013194100003911

in Bibtex Style

@conference{healthinf25,
author={Ritwik Saxena and Arshia Khan},
title={Machine Learning-Based Clinical Decision Support Systems in Dementia Care},
booktitle={Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF},
year={2025},
pages={664-671},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013194100003911},
isbn={978-989-758-731-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF
TI - Machine Learning-Based Clinical Decision Support Systems in Dementia Care
SN - 978-989-758-731-3
AU - Saxena R.
AU - Khan A.
PY - 2025
SP - 664
EP - 671
DO - 10.5220/0013194100003911
PB - SciTePress