Development of AI-driven decision support system for personalized housing adaptations and assistive technology
Development of AI-driven decision support system for personalized housing adaptations and assistive technology
Artificial Intelligence is transforming the healthcare sector, pro-viding innovative solutions to empower individuals and makemedical support more personalized. This study introduces anovel AI-driven platform that links diseases and symptoms torelevant assistive technologies and housing adaptations, ultim-ately developing a tailored knowledge base for individualsdiagnosed with complex chronic conditions such as musculardystrophy. The platform development entails the integrationof advanced Natural Language Processing (NLP) techniquesand fuzzy matching algorithms into a user-friendly web-basedinterface. This enables successful interpretation of user inputqueries and generation of real-time tailored actionableinsights and personalized recommendations for housing adap-tation and assistive technologies. This research showcases ascalable, innovative method of patient care that revolutionizesthe existing landscape by integrating new AI methodologiesinto healthcare databases to generate impactful and empath-etic elderly and disabled care. The proposed system obtaineda query resolution accuracy of 98% and aims to bridge criticalgaps in healthcare and housing accessibility by offering solu-tions and a sense of empowerment to those navigating thechallenges of chronic and progressive conditions.
Saleela, Divya
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Oyegoke, Adekunle S.
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Dauda, Jamiu A.
84d9a5fb-ddd3-4ddc-ae46-2cade6cf9a12
Ajayi, Saheed O.
2333391b-3335-4ecb-82d7-b684449b0567
Saleela, Divya
3ee4e63f-4f55-41da-80ae-18de34842645
Oyegoke, Adekunle S.
1a69d300-a9c2-49fd-8d50-bd170970b292
Dauda, Jamiu A.
84d9a5fb-ddd3-4ddc-ae46-2cade6cf9a12
Ajayi, Saheed O.
2333391b-3335-4ecb-82d7-b684449b0567
Saleela, Divya, Oyegoke, Adekunle S., Dauda, Jamiu A. and Ajayi, Saheed O.
(2025)
Development of AI-driven decision support system for personalized housing adaptations and assistive technology.
Journal of Aging and Environment.
(doi:10.1080/26892618.2025.2534956).
Abstract
Artificial Intelligence is transforming the healthcare sector, pro-viding innovative solutions to empower individuals and makemedical support more personalized. This study introduces anovel AI-driven platform that links diseases and symptoms torelevant assistive technologies and housing adaptations, ultim-ately developing a tailored knowledge base for individualsdiagnosed with complex chronic conditions such as musculardystrophy. The platform development entails the integrationof advanced Natural Language Processing (NLP) techniquesand fuzzy matching algorithms into a user-friendly web-basedinterface. This enables successful interpretation of user inputqueries and generation of real-time tailored actionableinsights and personalized recommendations for housing adap-tation and assistive technologies. This research showcases ascalable, innovative method of patient care that revolutionizesthe existing landscape by integrating new AI methodologiesinto healthcare databases to generate impactful and empath-etic elderly and disabled care. The proposed system obtaineda query resolution accuracy of 98% and aims to bridge criticalgaps in healthcare and housing accessibility by offering solu-tions and a sense of empowerment to those navigating thechallenges of chronic and progressive conditions.
Text
Development of AI-Driven Decision Support System for Personalized Housing Adaptations and Assistive Technology
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e-pub ahead of print date: 22 July 2025
Identifiers
Local EPrints ID: 503295
URI: http://eprints.soton.ac.uk/id/eprint/503295
ISSN: 2689-2618
PURE UUID: 8d829a15-c35a-44f3-ae20-b40627326c7c
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Date deposited: 28 Jul 2025 16:50
Last modified: 29 Jul 2025 03:08
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Contributors
Author:
Divya Saleela
Author:
Adekunle S. Oyegoke
Author:
Jamiu A. Dauda
Author:
Saheed O. Ajayi
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