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6 hasil untuk "Li-Fong Lin"

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  1. Artikel Jurnal Teks lengkap

    Chronic obstructive pulmonary disease with short-acting inhaled pharmacotherapy increases the risk of prostate cancer: A two-stage database approach

    Hui-Wen Lin; Li-Fong Lin; Hung-Chou Chen dkk.

    PLOS ONE, Vol. 13 No. 9 · 2018 · Inggris · PLOS Scopus

    Background: Patients with chronic obstructive pulmonary disease (COPD) are at a higher risk of many types of cancer. However, specific investigation of the risk of prostate cancer and the influence of COPD pharmacotherapy in patients with COPD is lacking. This study investigated the risk and…

  2. Artikel Jurnal Teks lengkap

    Association of physical capacity with heart rate variability based on a short-duration measurement of resting pulse rate in older adults with obesity

    Chun-De Liao; Jau-Yih Tsauo; Dun-Jen Hsiao dkk.

    PLOS ONE, Vol. 12 No. 12 · 2017 · Inggris · PLOS Scopus

    Background: Obesity can limit physical capacity and lower physical activity levels in elderly people. Low physical activity levels may be mediated by autonomic dysfunction with decreased heart rate variability (HRV). However, the relationship between autonomic dysfunction and low physical…

  3. Artikel Jurnal Teks lengkap

    Acromioplasty reduces critical shoulder angle in patients with rotator cuff tear

    Che-Li Lin; Li-Fong Lin; Tzu-Herng Hsu dkk.

    PLOS ONE, Vol. 16 No. 6 · 2021 · Inggris · PLOS Scopus

    Critical shoulder angle (CSA) is the angle between the superior and inferior bone margins of the glenoid and the most lateral border of the acromion and is potentially affected during a rotator cuff tear (RCT). Acromioplasty is generally performed to rectify the anatomy of the acromion during RCT…

  4. Artikel Jurnal Teks lengkap

    A novel Multi-Level Refined (MLR) knowledge graph design and chatbot system for healthcare applications

    Huei-Chia Hsueh; Shuo-Chen Chien; Chih-Wei Huang dkk.

    PLOS ONE, Vol. 19 No. 1 · 2024 · Inggris · PLOS Scopus

    Imagine having a knowledge graph that can extract medical health knowledge related to patient diagnosis solutions and treatments from thousands of research papers, distilled using machine learning techniques in healthcare applications. Medical doctors can quickly determine treatments and…