Predicting cancer treatment outcomes using machine learning enabled clinical decision support systems.
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| Title: | Predicting cancer treatment outcomes using machine learning enabled clinical decision support systems. |
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| Authors: | Hossain A; Department of Business Analytics, Trine University, IN, USA., Rashid MM; Department of Business Administration, International American University, CA, USA., Alam T; Department of Marketing Analytics and Insights, Wright State University, OH, USA., Riipa MB; Department of Business Administration, International American University, CA, USA., Hassan M; Department of Business Administration, International American University, CA, USA., Imran MAU; Department of Business Administration, Westcliff University, CA, USA., Mohammad N; Department of Information Technology, Westcliff University, CA, USA., Ahmed F; Department of Science in Engineering Management, Trine University, IN, USA., Parvin MR; Public Health Services, Action Research Bangladesh, Dhaka, Bangladesh. |
| Source: | Digital health [Digit Health] 2026 Jul 20; Vol. 12, pp. 20552076261470185. Date of Electronic Publication: 2026 Jul 20 (Print Publication: 2026). |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: SAGE Publications Ltd Country of Publication: United States NLM ID: 101690863 Publication Model: eCollection Cited Medium: Print ISSN: 2055-2076 (Print) Linking ISSN: 20552076 NLM ISO Abbreviation: Digit Health Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42483565 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting cancer treatment outcomes using machine learning enabled clinical decision support systems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Hossain+A%22">Hossain A</searchLink>; Department of Business Analytics, Trine University, IN, USA.<br /><searchLink fieldCode="AU" term="%22Rashid+MM%22">Rashid MM</searchLink>; Department of Business Administration, International American University, CA, USA.<br /><searchLink fieldCode="AU" term="%22Alam+T%22">Alam T</searchLink>; Department of Marketing Analytics and Insights, Wright State University, OH, USA.<br /><searchLink fieldCode="AU" term="%22Riipa+MB%22">Riipa MB</searchLink>; Department of Business Administration, International American University, CA, USA.<br /><searchLink fieldCode="AU" term="%22Hassan+M%22">Hassan M</searchLink>; Department of Business Administration, International American University, CA, USA.<br /><searchLink fieldCode="AU" term="%22Imran+MAU%22">Imran MAU</searchLink>; Department of Business Administration, Westcliff University, CA, USA.<br /><searchLink fieldCode="AU" term="%22Mohammad+N%22">Mohammad N</searchLink>; Department of Information Technology, Westcliff University, CA, USA.<br /><searchLink fieldCode="AU" term="%22Ahmed+F%22">Ahmed F</searchLink>; Department of Science in Engineering Management, Trine University, IN, USA.<br /><searchLink fieldCode="AU" term="%22Parvin+MR%22">Parvin MR</searchLink>; Public Health Services, Action Research Bangladesh, Dhaka, Bangladesh. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101690863%22">Digital health</searchLink> [Digit Health] 2026 Jul 20; Vol. 12, pp. 20552076261470185. <i>Date of Electronic Publication: </i>2026 Jul 20 (<i>Print Publication: </i>2026). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Review – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22SAGE+Publications+Ltd%22">SAGE Publications Ltd </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101690863 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2055-2076 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220552076%22">20552076 </searchLink><i>NLM ISO Abbreviation: </i>Digit Health <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42483565 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1177/20552076261470185 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 20552076261470185 Titles: – TitleFull: Predicting cancer treatment outcomes using machine learning enabled clinical decision support systems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hossain A – PersonEntity: Name: NameFull: Rashid MM – PersonEntity: Name: NameFull: Alam T – PersonEntity: Name: NameFull: Riipa MB – PersonEntity: Name: NameFull: Hassan M – PersonEntity: Name: NameFull: Imran MAU – PersonEntity: Name: NameFull: Mohammad N – PersonEntity: Name: NameFull: Ahmed F – PersonEntity: Name: NameFull: Parvin MR IsPartOfRelationships: – BibEntity: Dates: – D: 20 M: 07 Text: 2026 Jul 20 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 2055-2076 Numbering: – Type: volume Value: 12 Titles: – TitleFull: Digital health Type: main |
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