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discrete fourier transform (dft) of the pupil data  (MathWorks Inc)


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    MathWorks Inc discrete fourier transform (dft) of the pupil data
    Discrete Fourier Transform (Dft) Of The Pupil Data, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/discrete fourier transform (dft) of the pupil data/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    discrete fourier transform (dft) of the pupil data - by Bioz Stars, 2026-04
    90/100 stars

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    Model validation and optimization flowchart from the original UNAFIED-10 model to the new UNAFIED-8 model. AF = atrial fibrillation/atrial flutter; BMI = body mass index; CDS = clinical decision support; COPD = chronic obstructive pulmonary disease; EHR = electronic health record; HF = heart failure; INPC HIE = Indiana Network for Patient Care health information exchange; OSA = obstructive sleep apnea; POC = proof-of-concept; UNAFIED = undiagnosed atrial fibrillation prediction using electronic health data. ∗Refer to Grout et al. 20 † Patient subpopulations were based on sex, type of health insurance, race, and region.

    Journal: Heart Rhythm O2

    Article Title: Validation, bias assessment, and optimization of the UNAFIED 2-year risk prediction model for undiagnosed atrial fibrillation using national electronic health data

    doi: 10.1016/j.hroo.2024.09.010

    Figure Lengend Snippet: Model validation and optimization flowchart from the original UNAFIED-10 model to the new UNAFIED-8 model. AF = atrial fibrillation/atrial flutter; BMI = body mass index; CDS = clinical decision support; COPD = chronic obstructive pulmonary disease; EHR = electronic health record; HF = heart failure; INPC HIE = Indiana Network for Patient Care health information exchange; OSA = obstructive sleep apnea; POC = proof-of-concept; UNAFIED = undiagnosed atrial fibrillation prediction using electronic health data. ∗Refer to Grout et al. 20 † Patient subpopulations were based on sex, type of health insurance, race, and region.

    Article Snippet: The C-statistic (95% CI) was similar (0.850 [0.845–0.857] vs 0.851 [0.849– 0.851]) ( ) between the complete and balanced validation cohorts from Optum EHR discrete data, which was not improved with NLP data enrichment (0.847 vs 0.842) (Online ).

    Techniques: Biomarker Discovery

    Performance of the different UNAFIED models

    Journal: Heart Rhythm O2

    Article Title: Validation, bias assessment, and optimization of the UNAFIED 2-year risk prediction model for undiagnosed atrial fibrillation using national electronic health data

    doi: 10.1016/j.hroo.2024.09.010

    Figure Lengend Snippet: Performance of the different UNAFIED models

    Article Snippet: The C-statistic (95% CI) was similar (0.850 [0.845–0.857] vs 0.851 [0.849– 0.851]) ( ) between the complete and balanced validation cohorts from Optum EHR discrete data, which was not improved with NLP data enrichment (0.847 vs 0.842) (Online ).

    Techniques: Biomarker Discovery