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Towards physician's experience: Development of machine learning model for the diagnosis of autism spectrum disorders based on complex T‐spherical fuzzy‐weighted zero‐inconsistency method.

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Title: Towards physician's experience: Development of machine learning model for the diagnosis of autism spectrum disorders based on complex T‐spherical fuzzy‐weighted zero‐inconsistency method.
Authors: Albahri, Ahmed S.1, Zaidan, Aws A.2, aos.aljuboori@buid.ac.ae, AlSattar, Hassan A.3, A. Hamid, Rula1, Albahri, Osamah S.4, Qahtan, Sarah5, Alamoodi, Abdulla H.6
Source: Computational Intelligence; Apr2023, Vol. 39 Issue 2, p225-257, 33p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 163112100
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PubType: Academic Journal
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  Data: Towards physician's experience: Development of machine learning model for the diagnosis of autism spectrum disorders based on complex T‐spherical fuzzy‐weighted zero‐inconsistency method.
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  Data: <searchLink fieldCode="JN" term="%22Computational+Intelligence%22">Computational Intelligence</searchLink>; Apr2023, Vol. 39 Issue 2, p225-257, 33p
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        Value: 10.1111/coin.12562
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        Text: English
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      – TitleFull: Towards physician's experience: Development of machine learning model for the diagnosis of autism spectrum disorders based on complex T‐spherical fuzzy‐weighted zero‐inconsistency method.
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              Text: Apr2023
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              Y: 2023
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