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    Low Body Mass Index Can Identify Majority of Osteoporotic Inflammatory Bowel Disease Patients Missed by Current Guidelines by Ashish Atreja, Ashish Aggarwal, Angelo A. Licata, Bret A. Lashner

    Published 2012-01-01
    “…Low BMI can identify majority of the patients with osteoporosis that are missed by current guidelines.…”
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    Adaptive Kalman Estimation in Target Tracking Mixed with Random One-Step Delays, Stochastic-Bias Measurements, and Missing Measurements by Sujuan Chen, Yinya Li, Guoqing Qi, Andong Sheng

    Published 2013-01-01
    “…The objective of this paper is concerned with the estimation problem for linear discrete-time stochastic systems with mixed uncertainties involving random one-step sensor delay, stochastic-bias measurements, and missing measurements. Three Bernoulli distributed random variables are employed to describe the uncertainties. …”
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  20. 620

    Missing Risk Factor Prediction in Cardiovascular Disease Using a Blended Dataset and Optimizing Classification With a Stacking Algorithm by Jannatul Mauya, Saad Sahriar, Sanjida Akther, Ruhul Amin, Sabba Ruhi, Md. Shamim Reza

    Published 2025-01-01
    “…However, most ML algorithms require more accurate data in order to build an accurate prediction model and do not tolerate missing values. Handling missing risk factors is critical during dataset preprocessing and becomes more difficult when the risk factors are completely missing. …”
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