Prediction of Peripheral Artery Disease Treatment Decisions and Outcomes Using Machine Learning and Gait-Derived Digital Biomarkers.
Saved in:
| Title: | Prediction of Peripheral Artery Disease Treatment Decisions and Outcomes Using Machine Learning and Gait-Derived Digital Biomarkers. |
|---|---|
| Authors: | Al Ramini, Ali1, Fallahtafti, Farahnaz2, Takallou, Mohammad Ali3, Pipinos, Iraklis I.4,5, Myers, Sara2,5, Alsaleem, Fadi1,3, falsaleem2@unl.edu |
| Source: | Applied Sciences (2076-3417); Aug2026, Vol. 16 Issue 15, p7537, 17p |
| Database: | Applied Science & Technology Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 196242103 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Prediction of Peripheral Artery Disease Treatment Decisions and Outcomes Using Machine Learning and Gait-Derived Digital Biomarkers. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Al+Ramini%2C+Ali%22">Al Ramini, Ali</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Fallahtafti%2C+Farahnaz%22">Fallahtafti, Farahnaz</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Takallou%2C+Mohammad+Ali%22">Takallou, Mohammad Ali</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Pipinos%2C+Iraklis+I%2E%22">Pipinos, Iraklis I.</searchLink><relatesTo>4,5</relatesTo><br /><searchLink fieldCode="AU" term="%22Myers%2C+Sara%22">Myers, Sara</searchLink><relatesTo>2,5</relatesTo><br /><searchLink fieldCode="AU" term="%22Alsaleem%2C+Fadi%22">Alsaleem, Fadi</searchLink><relatesTo>1,3</relatesTo>, <i>falsaleem2@unl.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Aug2026, Vol. 16 Issue 15, p7537, 17p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=196242103 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app16157537 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 7537 Titles: – TitleFull: Prediction of Peripheral Artery Disease Treatment Decisions and Outcomes Using Machine Learning and Gait-Derived Digital Biomarkers. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Al Ramini, Ali – PersonEntity: Name: NameFull: Fallahtafti, Farahnaz – PersonEntity: Name: NameFull: Takallou, Mohammad Ali – PersonEntity: Name: NameFull: Pipinos, Iraklis I. – PersonEntity: Name: NameFull: Myers, Sara – PersonEntity: Name: NameFull: Alsaleem, Fadi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 16 – Type: issue Value: 15 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
| ResultId | 1 |