Explainable AI-driven diagnosis model for early glaucoma detection using grey-wolf optimized extreme learning machine approach.
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| Title: | Explainable AI-driven diagnosis model for early glaucoma detection using grey-wolf optimized extreme learning machine approach. |
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| Authors: | Muduli D; Department of Computer Science and Engineering, C.V. Raman Global University, Bhubaneswar, Odisha, India., Sharma SK; Department of Computer Science and Engineering, C.V. Raman Global University, Bhubaneswar, Odisha, India., Dash S; Department of Information Technology, School of Engineering and Technology, Nagaland University, Meriema, Nagaland, India., Lemos B; Department of Environmental Health, Harvard T H Chan School of Public Health, Boston, Massachusetts, United States of America.; Department of Pharmacology & Toxicology, University of Arizona, Tucson, Arizona, United States of America., Mallik S; Department of Environmental Health, Harvard T H Chan School of Public Health, Boston, Massachusetts, United States of America.; Department of Pharmacology & Toxicology, University of Arizona, Tucson, Arizona, United States of America. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2026 May 04; Vol. 22 (5), pp. e1013139. Date of Electronic Publication: 2026 May 04 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42081571 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Explainable AI-driven diagnosis model for early glaucoma detection using grey-wolf optimized extreme learning machine approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Muduli+D%22">Muduli D</searchLink>; Department of Computer Science and Engineering, C.V. Raman Global University, Bhubaneswar, Odisha, India.<br /><searchLink fieldCode="AU" term="%22Sharma+SK%22">Sharma SK</searchLink>; Department of Computer Science and Engineering, C.V. Raman Global University, Bhubaneswar, Odisha, India.<br /><searchLink fieldCode="AU" term="%22Dash+S%22">Dash S</searchLink>; Department of Information Technology, School of Engineering and Technology, Nagaland University, Meriema, Nagaland, India.<br /><searchLink fieldCode="AU" term="%22Lemos+B%22">Lemos B</searchLink>; Department of Environmental Health, Harvard T H Chan School of Public Health, Boston, Massachusetts, United States of America.; Department of Pharmacology & Toxicology, University of Arizona, Tucson, Arizona, United States of America.<br /><searchLink fieldCode="AU" term="%22Mallik+S%22">Mallik S</searchLink>; Department of Environmental Health, Harvard T H Chan School of Public Health, Boston, Massachusetts, United States of America.; Department of Pharmacology & Toxicology, University of Arizona, Tucson, Arizona, United States of America. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101238922%22">PLoS computational biology</searchLink> [PLoS Comput Biol] 2026 May 04; Vol. 22 (5), pp. e1013139. <i>Date of Electronic Publication: </i>2026 May 04 (<i>Print Publication: </i>2026). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101238922 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1553-7358 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221553734X%22">1553734X </searchLink><i>NLM ISO Abbreviation: </i>PLoS Comput Biol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42081571 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pcbi.1013139 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e1013139 Titles: – TitleFull: Explainable AI-driven diagnosis model for early glaucoma detection using grey-wolf optimized extreme learning machine approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Muduli D – PersonEntity: Name: NameFull: Sharma SK – PersonEntity: Name: NameFull: Dash S – PersonEntity: Name: NameFull: Lemos B – PersonEntity: Name: NameFull: Mallik S IsPartOfRelationships: – BibEntity: Dates: – D: 04 M: 05 Text: 2026 May 04 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1553-7358 Numbering: – Type: volume Value: 22 – Type: issue Value: 5 Titles: – TitleFull: PLoS computational biology Type: main |
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