d32d05b9ac590438cb59d4eefd58260a 286342.pdf 91774abc8275cdea7404c1f5e82f20b3f16f3833 286342.pdf a67ff998ecc7672fd671044ba6d12813f999070e934970ba46050fb11b4d373d 286342.pdf Title: Severe Disease in Patients With Recent-Onset Psoriatic Arthritis. Prediction Model Based on Machine Learning Subject: Objectives: To identify patient- and disease-related characteristics that make it possible to predict higher disease severity in recent-onset PsA. Keywords: recent-onset psoriatic arthritis, severe disease, global pain, perianal psoriasis, prediction model, machine learning Author: Rubén Queiro Creator: LaTeX with hyperref package Producer: pdfTeX-1.40.16 CreationDate: Thu Apr 28 08:20:15 2022 CEST ModDate: Thu Apr 28 08:20:15 2022 CEST Custom Metadata: yes Metadata Stream: yes Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 9 Encrypted: no Page size: 595.276 x 779.528 pts Page rot: 0 File size: 247612 bytes Optimized: no PDF version: 1.5 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- JVDGPL+MinionPro-Regular Type 1 Custom yes yes no 24 0 QUMILW+HelveticaNeueLTStd-Bd Type 1 Custom yes yes no 25 0 BQYRSP+HelveticaNeueLTStd-Lt Type 1 Custom yes yes no 26 0 CCVXXJ+HelveticaNeueLTStd-BdIt Type 1 Custom yes yes no 31 0 TVMILF+HelveticaNeueLTStd-LtIt Type 1 Custom yes yes no 32 0 PTVXPM+HelveticaNeueLTStd-MdIt Type 1 Custom yes yes no 33 0 JMNHAW+MTSYN Type 1 Builtin yes yes no 34 0 ZYUAEV+RBLMI Type 1 Builtin yes yes no 35 0 GRCKVX+HelveticaNeueLTStd-Md Type 1 Custom yes yes no 108 0 RXABTF+MTGU Type 1 Builtin yes yes no 115 0 WRSMNK+MinionPro-It Type 1 Custom yes yes no 116 0 VTYXRR+MinionPro-Bold Type 1 Custom yes yes no 117 0 Jhove (Rel. 1.28.0, 2023-05-18) Date: 2024-03-23 02:35:09 CET RepresentationInformation: 286342.pdf ReportingModule: PDF-hul, Rel. 1.12.4 (2023-03-16) LastModified: 2024-03-22 11:24:28 CET Size: 247612 Format: PDF Version: 1.5 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 437 FreeObjects: 2 IncrementalUpdates: 0 DocumentCatalog: PageLayout: SinglePage PageMode: UseOutlines Outlines: Item: Title: Severe Disease in Patients With Recent-Onset Psoriatic Arthritis. Prediction Model Based on Machine Learning Children: Item: Title: Introduction Item: Title: Materials and Methods Children: Item: Title: Variables and Measurement Item: Title: Sample Size Item: Title: Statistical Analysis Children: Item: Title: Imputation of Missing Data Item: Title: Generation of the Dataset Item: Title: Bivariate Analysis Item: Title: Multivariate Analysis Item: Title: Results Children: Item: Title: Bivariate Analysis Item: Title: Multivariate Analysis Item: Title: Discussion Item: Title: Conclusion Item: Title: Data Availability Statement Item: Title: Ethics Statement Item: Title: Author Contributions Item: Title: Funding Item: Title: Acknowledgments Item: Title: Supplementary Material Item: Title: References Info: Title: Severe Disease in Patients With Recent-Onset Psoriatic Arthritis. Prediction Model Based on Machine Learning Author: Rubén Queiro Subject: Objectives: To identify patient- and disease-related characteristics that make it possible to predict higher disease severity in recent-onset PsA. 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