Implementation of Forest-Based Predictive and Causal Machine Learning Techniques for Identifying the most Important Predictors of Mortality and Estimating Radiotherapy Treatment Effects in Breast Cancer Patients.
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| Title: | Implementation of Forest-Based Predictive and Causal Machine Learning Techniques for Identifying the most Important Predictors of Mortality and Estimating Radiotherapy Treatment Effects in Breast Cancer Patients. |
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| Authors: | Lee, Heejeong Jasmine1, heejl@skku.edu, Shuryak, Igor2, is144@cumc.columbia.edu, Wang, Eric2, ew2717@cumc.columbia.edu, Lee, Kang-Yoon3, klee@skku.edu |
| Source: | KSII Transactions on Internet & Information Systems; Jan2026, Vol. 20 Issue 1, p60-79, 20p |
| 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: 191281809 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Implementation of Forest-Based Predictive and Causal Machine Learning Techniques for Identifying the most Important Predictors of Mortality and Estimating Radiotherapy Treatment Effects in Breast Cancer Patients. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Lee%2C+Heejeong+Jasmine%22">Lee, Heejeong Jasmine</searchLink><relatesTo>1</relatesTo>, <i>heejl@skku.edu</i><br /><searchLink fieldCode="AU" term="%22Shuryak%2C+Igor%22">Shuryak, Igor</searchLink><relatesTo>2</relatesTo>, <i>is144@cumc.columbia.edu</i><br /><searchLink fieldCode="AU" term="%22Wang%2C+Eric%22">Wang, Eric</searchLink><relatesTo>2</relatesTo>, <i>ew2717@cumc.columbia.edu</i><br /><searchLink fieldCode="AU" term="%22Lee%2C+Kang-Yoon%22">Lee, Kang-Yoon</searchLink><relatesTo>3</relatesTo>, <i>klee@skku.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22KSII+Transactions+on+Internet+%26+Information+Systems%22">KSII Transactions on Internet & Information Systems</searchLink>; Jan2026, Vol. 20 Issue 1, p60-79, 20p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191281809 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3837/tiis.2026.01.004 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 60 Titles: – TitleFull: Implementation of Forest-Based Predictive and Causal Machine Learning Techniques for Identifying the most Important Predictors of Mortality and Estimating Radiotherapy Treatment Effects in Breast Cancer Patients. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lee, Heejeong Jasmine – PersonEntity: Name: NameFull: Shuryak, Igor – PersonEntity: Name: NameFull: Wang, Eric – PersonEntity: Name: NameFull: Lee, Kang-Yoon IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19767277 Numbering: – Type: volume Value: 20 – Type: issue Value: 1 Titles: – TitleFull: KSII Transactions on Internet & Information Systems Type: main |
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