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Predicting sick building syndrome using machine learning and epidemiological data for Internet of Thing (IoT) Integration

Published Online: 2026-09-10

Published Print: 2026-12

Authors

Ismail, Syazwan Aizat https://orcid.org/0000-0002-3808-1649
Ibrahim, Mohd Faiz https://orcid.org/0000-0003-4680-4410
Crüts, Björn https://orcid.org/0009-0007-5580-3301
Rajendiran, Sakshaleni

Mohammad Sham, Noraishah

Makhtar, Muaz Mohd Zaini https://orcid.org/0000-0001-8140-213X
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Text and Data Mining valid from 2026-09-10

Version of Record valid from 2026-09-10
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Article History

Received: 27 February 2026

Accepted: 10 August 2026

First Online: 10 September 2026

Declarations

Ethics approval and consent to participate: The study protocol received formal ethical approval from the Malaysia National Medical Research Registry (NMRR Reference: KKM.NIHSEC. P18-1489(6); NMRR-17-3449-39116). Informed written consent was successfully obtained from all individuals who chose to participate in the study.

Competing interests: The authors have no relevant financial or non-financial interests to disclose.

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