1322c153c04b5e5869e75165f475e168 1_s2.0_S2352914820300265_main.pdf 9299c13bdbf3a7c70f4fa16b3da8d19fe07ab802 1_s2.0_S2352914820300265_main.pdf d4438b7565d0c284f7c49b1dbcc19b3689923564542c097445257411a8c61722 1_s2.0_S2352914820300265_main.pdf Title: Mortality prediction enhancement in end-stage renal disease: A machine learning approach Subject: Informatics in Medicine Unlocked, 19 (2020) 100351. doi:10.1016/j.imu.2020.100351 Keywords: Mortality prediction,End-stage renal disease,Machine learning,LSTM,Random forest Author: Edwar Macias Creator: Elsevier Producer: Acrobat Distiller 8.1.0 (Windows) CreationDate: Tue Jun 9 10:10:54 2020 CEST ModDate: Tue Jun 9 14:00:33 2020 CEST Tagged: yes UserProperties: no Suspects: no Form: none JavaScript: no Pages: 10 Encrypted: no Page size: 595.276 x 793.701 pts Page rot: 0 File size: 1672882 bytes Optimized: yes PDF version: 1.7 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- 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(2019-04-17) LastModified: 2023-04-17 01:40:43 CEST Size: 1672882 Format: PDF Version: 1.7 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf Profile: Linearized PDF, Tagged PDF PDFMetadata: Objects: 744 FreeObjects: 1 IncrementalUpdates: 1 DocumentCatalog: PageLayout: SinglePage PageMode: UseOutlines Outlines: Item: Title: Mortality prediction enhancement in end-stage renal disease: A machine learning approach Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@e720b71 Children: Item: Title: 1 Introduction Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@1b26f7b2 Item: Title: 2 Materials and methods Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@491cc5c9 Children: Item: Title: 2.1 Data selection Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@74ad1f1f Children: Item: Title: 2.1.1 Diagnoses Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@6a1aab78 Item: Title: 2.1.2 Laboratory Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@462d5aee Item: Title: 2.1.3 HD variables Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@69b0fd6f Item: Title: 2.2 Data pre-processing Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@757942a1 Item: Title: 2.3 Learning models Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@4a87761d Children: Item: Title: 2.3.1 Feature selection-Random forest Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@66d1af89 Item: Title: 2.3.2 Predictive model-LSTM Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@8646db9 Item: Title: 3 Results Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@37374a5e Children: Item: Title: 3.1 Feature selection-RF Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@4671e53b Item: Title: 3.2 Predictive model-LSTM Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@2db7a79b Item: Title: 4 Discussion Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@6950e31 Item: Title: 5 Conclusion Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@b7dd107 Item: Title: Ethical statement Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@42eca56e Item: Title: Author contribution Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@52f759d7 Item: Title: Declaration of competing interest Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@7cbd213e Item: Title: Acknowledgements Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@192d3247 Item: Title: References Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@3ecd23d9 Info: Title: Mortality prediction enhancement in end-stage renal disease: A machine learning approach Author: Edwar Macias Subject: Informatics in Medicine Unlocked, 19 (2020) 100351. doi:10.1016/j.imu.2020.100351 Keywords: Mortality prediction,End-stage renal 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