A Machine Learning Prediction Model to Identify Individuals at Risk of 5-Year Incident Stroke Based on Retinal Imaging.
Saved in:
| Title: | A Machine Learning Prediction Model to Identify Individuals at Risk of 5-Year Incident Stroke Based on Retinal Imaging. |
|---|---|
| Authors: | Govindaiah A; iHealthScreen Inc., Richmond Hill, NY 11418, USA., Bhuiyan T; iHealthScreen Inc., Richmond Hill, NY 11418, USA., Smith RT; Biomolecular Retinal Imaging, Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA., Dhamoon MS; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA., Bhuiyan A; iHealthScreen Inc., Richmond Hill, NY 11418, USA. |
| Source: | Sensors (Basel, Switzerland) [Sensors (Basel)] 2025 Mar 19; Vol. 25 (6). Date of Electronic Publication: 2025 Mar 19. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40293071 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: A Machine Learning Prediction Model to Identify Individuals at Risk of 5-Year Incident Stroke Based on Retinal Imaging. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Govindaiah+A%22">Govindaiah A</searchLink>; iHealthScreen Inc., Richmond Hill, NY 11418, USA.<br /><searchLink fieldCode="AU" term="%22Bhuiyan+T%22">Bhuiyan T</searchLink>; iHealthScreen Inc., Richmond Hill, NY 11418, USA.<br /><searchLink fieldCode="AU" term="%22Smith+RT%22">Smith RT</searchLink>; Biomolecular Retinal Imaging, Department of Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.<br /><searchLink fieldCode="AU" term="%22Dhamoon+MS%22">Dhamoon MS</searchLink>; Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.<br /><searchLink fieldCode="AU" term="%22Bhuiyan+A%22">Bhuiyan A</searchLink>; iHealthScreen Inc., Richmond Hill, NY 11418, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101204366%22">Sensors (Basel, Switzerland)</searchLink> [Sensors (Basel)] 2025 Mar 19; Vol. 25 (6). <i>Date of Electronic Publication: </i>2025 Mar 19. – 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="%22MDPI%22">MDPI </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101204366 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1424-8220 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214248220%22">14248220 </searchLink><i>NLM ISO Abbreviation: </i>Sensors (Basel) <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40293071 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/s25061917 Languages: – Code: eng Text: English Titles: – TitleFull: A Machine Learning Prediction Model to Identify Individuals at Risk of 5-Year Incident Stroke Based on Retinal Imaging. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Govindaiah A – PersonEntity: Name: NameFull: Bhuiyan T – PersonEntity: Name: NameFull: Smith RT – PersonEntity: Name: NameFull: Dhamoon MS – PersonEntity: Name: NameFull: Bhuiyan A IsPartOfRelationships: – BibEntity: Dates: – D: 19 M: 03 Text: 2025 Mar 19 Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1424-8220 Numbering: – Type: volume Value: 25 – Type: issue Value: 6 Titles: – TitleFull: Sensors (Basel, Switzerland) Type: main |
| ResultId | 1 |