Research
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Scanned: 1426
Evaluated: 167
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    DENTAL   

Mde14-002

Interpretable Machine Learning for Population-Level Severe Tooth Loss Prediction: A Two-Axis External Validation

Quote: Fully auditable shape functions explicitly revealed non-linear risk thresholds and synergistic pairwise interactions for key predictors including age, smoking, income, and diabetes. Decision curve analysis confirmed substantial positive net clinical benefit across a 5-50 risk threshold continuum. Conclusions: The MICE-EBM framework predicts STL with complete intrinsic transparency and robust probabilistic reliability.
Abstract: https://www.medrxiv.org/content/10.64898/2026.04.03.26350106v1
Full Text: https://www.medrxiv.org/content/10.64898/2026.04.03.26350106v1.full-text
Search Similar: Brave Mojeek Startpage Dogpile Bing Googl Lycos Utub Yaho 
Search Authors: QUANG TUAN LAM Fang-Yu Fan Yung-Li Wang Chia-Yu Wu Ying-Sui Sun Thi Thuy Tien Vo Hsuan Kuo Quang Hien Kha Minh Huu Nhat Le Giang Vu Nguyen Quoc Khanh Le I-Ta Lee, 
    DENTAL   

Mde14-004

OGSCalc: Mathematical formulae and web-based application to incorporate rotational discrepancies into translational discrepancies for assessment of accuracy in orthognathic surgery

Quote: Methods We have derived a mathematical formula using Euclidean geometry and quadratic functions that quantifies the impact of rotations on translational discrepancies. This allows for the calculation of a total discrepancy value that incorporates the three translations and rotations. Furthermore, we developed an interactive web-based application using the open-source shiny R package.
Abstract: https://www.medrxiv.org/content/10.64898/2026.04.03.26350094v1
Full Text: https://www.medrxiv.org/content/10.64898/2026.04.03.26350094v1.full-text
Search Similar: Brave Mojeek Startpage Dogpile Bing Googl Lycos Utub Yaho 
Search Authors: Jonas Hue Joella Yeo Leonardo Saigo, 

  Javilk's Research Links for Week 14
Updated 04/11/2026-01:28:16 AM
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