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Machine learning-based model Subject: Seminars in Arthritis and Rheumatism, 57 (2022) 152097. doi:10.1016/j.semarthrit.2022.152097 Keywords: Arthritis,Psoriatic,Quality of life,Predictive model,Machine learning Author: P Creator: Elsevier Producer: Acrobat Distiller 8.1.0 (Windows) CreationDate: Mon Jan 30 11:35:36 2023 CET ModDate: Mon Jan 30 11:39:16 2023 CET Custom Metadata: yes Metadata Stream: yes Tagged: yes UserProperties: no Suspects: no Form: none JavaScript: no Pages: 6 Encrypted: no Page size: 595.276 x 793.701 pts Page rot: 0 File size: 430645 bytes Optimized: yes PDF version: 1.7 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- VVCCGG+TeX_CM_Maths_Italic Type 1C Builtin yes yes yes 557 0 BLNVWP+TeX_CM_Maths_Symbols Type 1C Builtin yes yes yes 561 0 JKTIIB+CharisSIL CID TrueType Identity-H yes yes yes 565 0 GBNAGF+Univers Type 1C Builtin yes yes yes 570 0 LJKDDF+STIX-Regular Type 1C Custom yes yes yes 574 0 ZPMFHQ+CharisSIL-Italic CID TrueType Identity-H yes yes yes 579 0 NNLAUQ+TeX_CM_Roman Type 1C Builtin yes yes yes 584 0 XHHTID+CharisSIL CID TrueType Identity-H yes yes yes 548 0 RGWJQF+CharisSIL-Bold CID TrueType Identity-H yes yes yes 215 0 UPBXXD+CharisSIL-Italic CID TrueType Identity-H yes yes yes 207 0 SRULDB+TimesNewRomanPS-BoldMT CID TrueType Identity-H yes yes yes 46 0 KVOKNZ+TimesNewRomanPSMT CID TrueType Identity-H yes yes yes 51 0 Jhove (Rel. 1.28.0, 2023-05-18) Date: 2024-03-16 02:38:32 CET RepresentationInformation: 286311.pdf ReportingModule: PDF-hul, Rel. 1.12.4 (2023-03-16) LastModified: 2024-03-15 10:07:42 CET Size: 430645 Format: PDF Version: 1.7 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf Profile: Linearized PDF, Tagged PDF PDFMetadata: Objects: 638 FreeObjects: 1 IncrementalUpdates: 1 DocumentCatalog: PageLayout: SinglePage PageMode: UseOutlines Language: en Outlines: Item: Title: Characteristics associated with the perception of high-impact disease (PsAID ≥4) in patients with recent-onset psoriatic ar ... 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Seminars in Arthritis and Rheumatism, 57 (2022) 152097. doi:10.1016/j.semarthrit.2022.152097 Arthritis Psoriatic Quality of life Predictive model Machine learning Characteristics associated with the perception of high-impact disease (PsAID ≥4) in patients with recent-onset psoriatic arthritis. Machine learning-based model P Rubén Queiro Daniel Seoane-Mato Ana Laiz Eva Galíndez Agirregoikoa Carlos Montilla Hye-Sang Park Jose A. Pinto-Tasende Juan J. Bethencourt Baute Beatriz Joven Ibáñez Elide Toniolo Julio Ramírez Ana Serrano García VoR 30th January 2023 Acrobat Distiller 8.1.0 (Windows) Arthritis,Psoriatic,Quality of life,Predictive model,Machine learning 30th January 2023 sciencedirect.com elsevier.com true 2010-04-23 10.1016/j.semarthrit.2022.152097 noindex journal © 2023 The Authors. 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