Comparative analysis of machine learning techniques for Parkinson's detection: A review.
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| Title: | Comparative analysis of machine learning techniques for Parkinson's detection: A review. |
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| Authors: | Khanna, Ketna1, ketnakhanna05@gmail.com, Gambhir, Sapna1, Gambhir, Mohit2 |
| Source: | Multimedia Tools & Applications; Dec2023, Vol. 82 Issue 29, p45205-45231, 27p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 173894523 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Comparative analysis of machine learning techniques for Parkinson's detection: A review. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Khanna%2C+Ketna%22">Khanna, Ketna</searchLink><relatesTo>1</relatesTo>, <i>ketnakhanna05@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Gambhir%2C+Sapna%22">Gambhir, Sapna</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Gambhir%2C+Mohit%22">Gambhir, Mohit</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>; Dec2023, Vol. 82 Issue 29, p45205-45231, 27p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=173894523 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-023-15414-w Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 27 StartPage: 45205 Titles: – TitleFull: Comparative analysis of machine learning techniques for Parkinson's detection: A review. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Khanna, Ketna – PersonEntity: Name: NameFull: Gambhir, Sapna – PersonEntity: Name: NameFull: Gambhir, Mohit IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 82 – Type: issue Value: 29 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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