Performance Analysis of a Hybrid Deep Learning Framework Integrating CNN, RNN, LSTM, and ResNet50 for Lung Disease Recurrence Prediction Using Chest X-Ray Images and Post-Recovery Clinical Data.
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| Title: | Performance Analysis of a Hybrid Deep Learning Framework Integrating CNN, RNN, LSTM, and ResNet50 for Lung Disease Recurrence Prediction Using Chest X-Ray Images and Post-Recovery Clinical Data. |
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| Authors: | Musa, Olha1,2, musao22@student.unhas.ac.id, Syarif, Syafruddin2, syafruddin.s@eng.unhas.ac.id, Zainuddin, Zahir2, zahir@unhas.ac.id |
| Source: | Engineering, Technology & Applied Science Research; Apr2026, Vol. 16 Issue 2, p33909-33915, 7p |
| 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: 194189325 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Performance Analysis of a Hybrid Deep Learning Framework Integrating CNN, RNN, LSTM, and ResNet50 for Lung Disease Recurrence Prediction Using Chest X-Ray Images and Post-Recovery Clinical Data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Musa%2C+Olha%22">Musa, Olha</searchLink><relatesTo>1,2</relatesTo>, <i>musao22@student.unhas.ac.id</i><br /><searchLink fieldCode="AU" term="%22Syarif%2C+Syafruddin%22">Syarif, Syafruddin</searchLink><relatesTo>2</relatesTo>, <i>syafruddin.s@eng.unhas.ac.id</i><br /><searchLink fieldCode="AU" term="%22Zainuddin%2C+Zahir%22">Zainuddin, Zahir</searchLink><relatesTo>2</relatesTo>, <i>zahir@unhas.ac.id</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Engineering%2C+Technology+%26+Applied+Science+Research%22">Engineering, Technology & Applied Science Research</searchLink>; Apr2026, Vol. 16 Issue 2, p33909-33915, 7p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194189325 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.48084/etasr.17083 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 33909 Titles: – TitleFull: Performance Analysis of a Hybrid Deep Learning Framework Integrating CNN, RNN, LSTM, and ResNet50 for Lung Disease Recurrence Prediction Using Chest X-Ray Images and Post-Recovery Clinical Data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Musa, Olha – PersonEntity: Name: NameFull: Syarif, Syafruddin – PersonEntity: Name: NameFull: Zainuddin, Zahir IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 22414487 Numbering: – Type: volume Value: 16 – Type: issue Value: 2 Titles: – TitleFull: Engineering, Technology & Applied Science Research Type: main |
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