Conference
Research on Analysis and Processing Methods for Biological Data with Reasonable High Deviation: Application of Mixed-Effects Models and Survival Analysis to Non-Invasive Prenatal Testing Data
| Τίτλος: | Research on Analysis and Processing Methods for Biological Data with Reasonable High Deviation: Application of Mixed-Effects Models and Survival Analysis to Non-Invasive Prenatal Testing Data |
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| Συγγραφείς: | Du, Cheng, Fang, Yu, Li, Yi |
| Πηγή: | Proceedings of the 2025 6th International Symposium on Artificial Intelligence for Medical Sciences. :760-767 |
| Διαθεσιμότητα: | http://dl.acm.org/doi/10.1145/3777577.3777700 |
| Βάση Δεδομένων: | ACM Full-Text Collection |
| FullText | Text: Availability: 0 CustomLinks: – Url: http://dx.doi.org/10.1145/3777577.3777700? Name: EDS - ACM Full-Text Collection (ns324271) Category: fullText Text: View record at ACM Digital Library |
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| Items | – Name: Title Label: Title Group: Ti Data: Research on Analysis and Processing Methods for Biological Data with Reasonable High Deviation: Application of Mixed-Effects Models and Survival Analysis to Non-Invasive Prenatal Testing Data – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Du%2C+Cheng%22">Du, Cheng</searchLink><br /><searchLink fieldCode="AR" term="%22Fang%2C+Yu%22">Fang, Yu</searchLink><br /><searchLink fieldCode="AR" term="%22Li%2C+Yi%22">Li, Yi</searchLink> – Name: TitleSource Label: Source Group: Src Data: <i>Proceedings of the 2025 6th International Symposium on Artificial Intelligence for Medical Sciences</i>. :760-767 – Name: URL Label: Availability Group: URL Data: http://dl.acm.org/doi/10.1145/3777577.3777700 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edscma&AN=edscma.3777700 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1145/3777577.3777700 Languages: – Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 760 Titles: – TitleFull: Research on Analysis and Processing Methods for Biological Data with Reasonable High Deviation: Application of Mixed-Effects Models and Survival Analysis to Non-Invasive Prenatal Testing Data Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Du, Cheng – PersonEntity: Name: NameFull: Fang, Yu – PersonEntity: Name: NameFull: Li, Yi IsPartOfRelationships: – BibEntity: Dates: – D: 24 M: 10 Type: published Y: 2025 Identifiers: – Type: issn-locals Value: edscma.conferences Titles: – TitleFull: Proceedings of the 2025 6th International Symposium on Artificial Intelligence for Medical Sciences Type: main |
| ResultId | 1 |