Showing 681 - 700 results of 5,488 for search 'decision three algorithm', query time: 0.14s Refine Results
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    Clinical decision support to improve management of diabetes and dysglycemia in the hospital: a path to optimizing practice and outcomes by Guillermo Umpierrez, Vernon M Chinchilli, Erik B Lehman, Ariana Pichardo-Lowden, Matthew D Bolton, Christopher J DeFlitch, Paul M Haidet

    Published 2021-03-01
    “…We piloted an electronic medical record (EMR), evidence-based algorithmic CDS tool in an academic center to alert clinicians in real time about gaps in care related to inpatient glucose control and insulin utilization, and to provide management recommendations.Research design and methods The tool was designed to identify clinical situations in need for action: (1) severe or recurrent hyperglycemia in patients with diabetes: blood glucose (BG) ≥13.88 mmol/L (250 mg/dL) at least once or BG ≥10.0 mmol/L (180 mg/dL) at least twice, respectively; (2) recurrent hyperglycemia in patients with stress hyperglycemia: BG ≥10.0 mmol/L (180 mg/dL) at least twice; (3) impending or established hypoglycemia: BG 3.9–4.4 mmol/L (70–80 mg/dL) or ≤3.9 mmol/L (70 mg/dL); and (4) inappropriate sliding scale insulin (SSI) monotherapy in recurrent hyperglycemia, or anytime in patients with type 1 diabetes. …”
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    ES-UNet: efficient 3D medical image segmentation with enhanced skip connections in 3D UNet by Minyoung Park, Seungtaek Oh, Junyoung Park, Taikyeong Jeong, Sungwook Yu

    Published 2025-08-01
    “…Conclusion ES-UNet integrates architectural and algorithmic improvements to achieve robust 3D medical image segmentation. …”
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    Career path prediction using XGBoost Model and students’ academic results by Hong Quan Nguyen, Duc Dang Khoi Nguyen, Tan Duy Le, An Mai, Kha Tu Huynh

    Published 2023-10-01
    “…Initially, the dataset is cleaned up and normalized to be usable for the prediction algorithm with the help of Python 3 programming language. …”
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    Career path prediction using XGBoost Model and students’ academic results by Hong Quan Nguyen, Duc Dang Khoi Nguyen, Tan Duy Le, An Mai, Kha Tu Huynh

    Published 2023-10-01
    “…Initially, the dataset is cleaned up and normalized to be usable for the prediction algorithm with the help of Python 3 programming language. …”
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    Decision Tree, Naïve Bayes and Support Vector Machine Applying on Social Media Usage in NYC / Comparative Analysis by Ahmed Burhan Mohammed

    Published 2023-02-01
    “…This study presents the comparison of three algorithms for classifications such as (Decision Tree, Naïve Bayes and Support Vector Machine), applying for social media usage dataset by NYC, to get the best result of the classification algorithm that can classify the instances according to the platforms. …”
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    AI-Based Prediction of Visual Performance in Rhythmic Gymnasts Using Eye-Tracking Data and Decision Tree Models by Ricardo Bernardez-Vilaboa, F. Javier Povedano-Montero, José Ramon Trillo, Alicia Ruiz-Pomeda, Gema Martínez-Florentín, Juan E. Cedrún-Sánchez

    Published 2025-07-01
    “…Background/Objective: This study aims to evaluate the predictive performance of three supervised machine learning algorithmsdecision tree (DT), support vector machine (SVM), and k-nearest neighbors (KNN) in forecasting key visual skills relevant to rhythmic gymnastics. …”
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