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Keywords: cardiovascular disease, atherosclerosis, cardiovascular risk assessment, machine learning, recursive partitioning classification trees, vascular ultrasound Author: José Manuel Valdivielso Creator: LaTeX with hyperref package Producer: pdfTeX-1.40.15 CreationDate: Fri Jul 8 11:24:35 2022 CEST ModDate: Fri Jul 8 11:24:35 2022 CEST Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 14 Encrypted: no Page size: 595.276 x 779.528 pts Page rot: 0 File size: 2887076 bytes Optimized: no PDF version: 1.5 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- DONXTM+MinionPro-Regular Type 1 Custom yes yes no 24 0 SHWVWB+HelveticaNeueLTStd-Bd Type 1 Custom yes yes no 25 0 LWXHRW+HelveticaNeueLTStd-Lt Type 1 Custom yes yes no 26 0 CCVXXJ+HelveticaNeueLTStd-BdIt Type 1 Custom yes yes no 31 0 KVTKTO+HelveticaNeueLTStd-LtIt Type 1 Custom yes yes no 32 0 CJETWS+HelveticaNeueLTStd-MdIt Type 1 Custom yes yes no 33 0 UMABVO+MTSYN Type 1 Builtin yes yes no 34 0 VXWSEY+RBLMI Type 1 Builtin yes yes no 79 0 CBZOXH+HelveticaNeueLTStd-Md Type 1 Custom yes yes no 92 0 WEMNDA+MinionPro-It Type 1 Custom yes yes no 176 0 TITPDX+MinionPro-Bold Type 1 Custom yes yes no 180 0 OZAGLW+RMTMIB Type 1 Builtin yes yes no 389 0 Jhove (Rel. 1.22.1, 2019-04-17) Date: 2023-06-07 02:29:41 CEST RepresentationInformation: 275222.pdf ReportingModule: PDF-hul, Rel. 1.12.1 (2019-04-17) LastModified: 2023-06-06 10:32:31 CEST Size: 2887076 Format: PDF Version: 1.5 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 723 FreeObjects: 2 IncrementalUpdates: 0 DocumentCatalog: PageLayout: SinglePage PageMode: UseOutlines Outlines: Item: Title: Development and Validation of a Personalized, Sex-Specific Prediction Algorithm of Severe Atheromatosis in Middle-Aged Asymptomatic Individuals: The ILERVAS Study Children: Item: Title: Introduction Item: Title: Materials and Methods Children: Item: Title: Study Design and Selection of Participants Children: Item: Title: Discovery Cohort: The ILERVAS Study Item: Title: Validation Cohort: The NEFRONA Study Item: Title: Source of Information and Data Collection Item: Title: Anthropometric Data Item: Title: Biochemical Parameters Item: Title: Atheromatous Plaque Assessment by Vascular Ultrasound Item: Title: Statistical Analysis Children: Item: Title: Variable Selection Item: Title: Descriptive Analysis of the Cohorts Item: Title: Sample Balancing Item: Title: Machine Learning Item: Title: Variable Importance Calculation Item: Title: Probability Calibration Item: Title: Prediction of Severe Atheromatosis and Non-severe Atheromatosis With Personalized Algorithm for Severe Atheromatosis Prediction Item: Title: Performance Metrics Item: Title: External Validation Item: Title: Systematic COronary Risk Evaluation Model Item: Title: Improvement of Risk Prediction Between the Personalized Algorithm for Severe Atheromatosis Prediction and the Systematic COronary Risk Evaluation Model Item: Title: Results Children: Item: Title: Clinical Characteristics of the Discovery and Validation Cohorts Item: Title: A Personalized Algorithm for Severe Atheromatosis Prediction Item: Title: Internal Validation of the Personalized Algorithm for Severe Atheromatosis Prediction Algorithm Item: Title: External Validation of the Personalized Algorithm for Severe Atheromatosis Prediction Algorithm Item: Title: Comparison of the Personalized Algorithm for Severe Atheromatosis Prediction Algorithm With the Systematic COronary Risk Evaluation Item: Title: Discussion Item: Title: Conclusion Item: Title: Data Availability Statement Item: Title: Ethics Statement Item: Title: Ilervas Project Collaborators Item: Title: Author Contributions Item: Title: Funding Item: Title: Acknowledgments Item: Title: Supplementary Material Item: Title: References Info: Title: Development and Validation of a Personalized, Sex-Specific Prediction Algorithm of Severe Atheromatosis in Middle-Aged Asymptomatic Individuals: The ILERVAS Study Author: José Manuel Valdivielso Subject: Background: Although European guidelines recommend vascular ultrasound for the assessment of cardiovascular risk in low-to-moderate risk individuals, no algorithm properly identifies patients who could benefit from it. 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