Search Results - Nur Nasyitah Mohamed Salim

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  1. 1
    The SingHealth Perioperative and Anesthesia Subject Area Registry (PASAR), a large-scale perioperative data mart and registry

    The SingHealth Perioperative and Anesthesia Subject Area Registry (PASAR), a large-scale perioperative data mart and registry by Abdullah, Hairil Rizal, Lim, Daniel Yan Zheng, Ke, Yuhe, Salim, Nur Nasyitah Mohamed, Lan, Xiang, Dong, Yizhi, Feng, Mengling

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  2. 2
    Establishment of the SingHealth Diabetes Registry

    Establishment of the SingHealth Diabetes Registry by Lim, Daniel Yan Zheng, Chia, Sing Yi, Abdul Kadir, Hanis, Mohamed Salim, Nur Nasyitah, Bee, Yong Mong

    Published in Clinical epidemiology
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  3. 3
    Trends in diabetes-related complications in Singapore, 2013–2020: A registry-based study

    Trends in diabetes-related complications in Singapore, 2013–2020: A registry-based study by Joshua Kuan Tan, Nur Nasyitah Mohamed Salim, Gek Hsiang Lim, Sing Yi Chia, Julian Thumboo, Yong Mong Bee

    Published in PloS one
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  4. 4
    Trends in diabetes-related complications in Singapore, 2013–2020: A registry-based study

    Trends in diabetes-related complications in Singapore, 2013–2020: A registry-based study by Tan, Joshua Kuan, Salim, Nur Nasyitah Mohamed, Lim, Gek Hsiang, Chia, Sing Yi, Thumboo, Julian, Bee, Yong Mong

    Published in PloS one
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  5. 5
    Associations Between Mean HbA1c, HbA1c Variability, and Both Mortality and Macrovascular Complications in Patients with Diabetes Mellitus: A Registry-Based Cohort Study

    Associations Between Mean HbA1c, HbA1c Variability, and Both Mortality and Macrovascular Complications in Patients with Diabetes Mellitus: A Registry-Based Cohort Study by Tan, Joshua Kuan, Lim, Gek Hsiang, Mohamed Salim, Nur Nasyitah, Chia, Sing Yi, Thumboo, Julian, Bee, Yong Mong

    Published in Clinical epidemiology
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  6. 6
    A drug mix and dose decision algorithm for individualized type 2 diabetes management

    A drug mix and dose decision algorithm for individualized type 2 diabetes management by Nambiar, Mila, Bee, Yong Mong, Chan, Yu En, Ho Mien, Ivan, Guretno, Feri, Carmody, David, Lee, Phong Ching, Chia, Sing Yi, Salim, Nur Nasyitah Mohamed, Krishnaswamy, Pavitra

    Published in NPJ digital medicine
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  7. 7
    Machine Learning-Based Prediction for High Health Care Utilizers by Using a Multi-Institutional Diabetes Registry: Model Training and Evaluation

    Machine Learning-Based Prediction for High Health Care Utilizers by Using a Multi-Institutional Diabetes Registry: Model Training and Evaluation by Tan, Joshua Kuan, Quan, Le, Salim, Nur Nasyitah Mohamed, Tan, Jen Hong, Goh, Su-Yen, Thumboo, Julian, Bee, Yong Mong

    Published in JMIR AI
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