Explainable Machine Learning for Predicting Dengue Recovery Duration: Insights from Multi-Center Clinical Data.

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Title: Explainable Machine Learning for Predicting Dengue Recovery Duration: Insights from Multi-Center Clinical Data.
Authors: Khan A; Department of Computer Science and IT, Sarhad University of Science and Information Technology, Peshawar 25000, Khyber Pakhtunkhwa, Pakistan., Ali A; Computer Engineering Department, Cyprus International University, Nicosia 99010, Cyprus., Hanan F; Department of Pathology, Saidu Teaching Hospital, Swat 19200, Khyber Pakhtunkhwa, Pakistan., Mohmand MI; Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Istanbul Atlas University, Istanbul 34408, Turkey.
Source: Healthcare (Basel, Switzerland) [Healthcare (Basel)] 2026 Jun 27; Vol. 14 (13). Date of Electronic Publication: 2026 Jun 27.
Publication Type: Journal Article
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101666525 Publication Model: Electronic Cited Medium: Print ISSN: 2227-9032 (Print) Linking ISSN: 22279032 NLM ISO Abbreviation: Healthcare (Basel) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Explainable Machine Learning for Predicting Dengue Recovery Duration: Insights from Multi-Center Clinical Data.
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  Data: <searchLink fieldCode="AU" term="%22Khan+A%22">Khan A</searchLink>; Department of Computer Science and IT, Sarhad University of Science and Information Technology, Peshawar 25000, Khyber Pakhtunkhwa, Pakistan.<br /><searchLink fieldCode="AU" term="%22Ali+A%22">Ali A</searchLink>; Computer Engineering Department, Cyprus International University, Nicosia 99010, Cyprus.<br /><searchLink fieldCode="AU" term="%22Hanan+F%22">Hanan F</searchLink>; Department of Pathology, Saidu Teaching Hospital, Swat 19200, Khyber Pakhtunkhwa, Pakistan.<br /><searchLink fieldCode="AU" term="%22Mohmand+MI%22">Mohmand MI</searchLink>; Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Istanbul Atlas University, Istanbul 34408, Turkey.
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  Data: <searchLink fieldCode="JN" term="%22101666525%22">Healthcare (Basel, Switzerland)</searchLink> [Healthcare (Basel)] 2026 Jun 27; Vol. 14 (13). <i>Date of Electronic Publication: </i>2026 Jun 27.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI+AG%22">MDPI AG </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101666525 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2227-9032 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2222279032%22">22279032 </searchLink><i>NLM ISO Abbreviation: </i>Healthcare (Basel) <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.3390/healthcare14131881
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        Text: English
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      – TitleFull: Explainable Machine Learning for Predicting Dengue Recovery Duration: Insights from Multi-Center Clinical Data.
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            – D: 27
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              Text: 2026 Jun 27
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              Y: 2026
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