2024
DOI: 10.1016/j.heliyon.2024.e26888
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Artificial intelligence and machine learning applications in the project lifecycle of the construction industry: A comprehensive review

Shuvo Dip Datta,
Mobasshira Islam,
Md. Habibur Rahman Sobuz
et al.
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Cited by 20 publications
(2 citation statements)
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“…AI has the capability to analyse patient data, such as their histories, laboratory results and medication profiles, to provide personalised treatment recommendations and avoid the potential negative effects of polypharmacy. By considering individual patient characteristics and potential drug interactions, AI systems can assist health professionals in optimising medication regimens and reducing the risks associated with polypharmacy [17,18]. For example, one systematic review examined 63 studies that utilised AI methods in precision cancer medicine.…”
Section: Personalised Treatment Recommendationsmentioning
confidence: 99%
See 1 more Smart Citation
“…AI has the capability to analyse patient data, such as their histories, laboratory results and medication profiles, to provide personalised treatment recommendations and avoid the potential negative effects of polypharmacy. By considering individual patient characteristics and potential drug interactions, AI systems can assist health professionals in optimising medication regimens and reducing the risks associated with polypharmacy [17,18]. For example, one systematic review examined 63 studies that utilised AI methods in precision cancer medicine.…”
Section: Personalised Treatment Recommendationsmentioning
confidence: 99%
“…It involves algorithms that improve the performance in a given task through increased exposure to data [17]. In the context of healthcare, particularly polypharmacy, ML can process vast amounts of patient data-clinical histories, genetic information and real-time health metrics-to identify risks, suggest personalised medication plans and predict potential adverse drug reactions [17,18].…”
Section: Introductionmentioning
confidence: 99%