2019
DOI: 10.1111/echo.14242
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Nonlinear model for the carotid artery disease 10‐year risk prediction by fusing conventional cardiovascular factors to carotid ultrasound image phenotypes: A Japanese diabetes cohort study

Abstract: Motivation:This study presents a novel nonlinear model which can predict 10-year carotid ultrasound image-based phenotypes by fusing nine traditional cardiovascular risk factors (ethnicity, gender, age, artery type, body mass index, hemoglobin A1c, hypertension, low-density lipoprotein, and smoking) with five types of carotid automated image phenotypes (three types of carotid intima-media thickness (IMT), wall variability, and total plaque area).Methodology: Two-step process was adapted: First, five baseline c… Show more

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Cited by 43 publications
(66 citation statements)
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“…We believe that the AtheroRisk-Integrated ML system is efficient, accurate, and affordable. Risk stratification performed using EEGS is the first step to prevent higher costs and simplicity in design (4,11,12,29,41). Although the proposed study has clearly met the pre-defined hypothesis, more modifications can be possible to improve the CV/ stroke risk assessment such as conducting a multicenter study.…”
Section: Study Limitations and Future Scopementioning
confidence: 99%
See 3 more Smart Citations
“…We believe that the AtheroRisk-Integrated ML system is efficient, accurate, and affordable. Risk stratification performed using EEGS is the first step to prevent higher costs and simplicity in design (4,11,12,29,41). Although the proposed study has clearly met the pre-defined hypothesis, more modifications can be possible to improve the CV/ stroke risk assessment such as conducting a multicenter study.…”
Section: Study Limitations and Future Scopementioning
confidence: 99%
“…Two operators (with 15 years of experience) analyzed the scans. We used the CUS image acquisition protocol presented before (11,12,21,22). The analytical approach and study design for this manuscript are unique with respect to previously published reports using this cohort (11,12,21,22).…”
Section: Study Population and Image Acquisitionmentioning
confidence: 99%
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“…Based on these recommendations, exercise may be presumed to influence an improved outcome in patients with DCM. If biomarkers or non-invasive imaging modalities could be used for early identification of high-risk patients [46,140], it would be feasible to prescribe personalized exercise programs based on risk stratification. Since exercise may not only mitigate cardiac dysfunction but also improve the outcome of T2DM [36,134,[141][142][143], a therapeutic approach with a tailored exercise prescription would positively impact DCM management in the future.…”
Section: Exercise Is An Early Diagnostic Tool For Prevention and Bettmentioning
confidence: 99%