Introduction Efforts to validate claims-based algorithms for identifying patients with interstitial lung disease (ILD), an important safety concern in Japan, are limited. Purpose We developed and validated a claims-based algorithm for identifying ILD in Japanese patients with cancer using machine-learning modeling. Met...
Yu-Jing Huang, Toshihiro Takeda, Yoshie Shimai et al.· Frontiers in Oncology· 0 citations
Until calibration, decision-curve utility, and transportability are reported alongside external validation, clinical deployment remains premature, according to the evidence base maps.
J. Vrdoljak, Marino Vilović, Roko Šantić et al.· Machine Learning and Knowled...· 1 citation
An interpretable RF model for early prediction of MDR infections in ICU patients is developed and validated and translated into a web-based calculator with SHAP explanations, enabling rapid bedside risk stratification to support timely antimicrobial stewardship and resource allocation.
Yimeng Yang, J. Lv, Junbin Tian et al.· Frontiers in Cellular and In...· 0 citations
INTRODUCTION
Fibrostenosis is a prevalent and clinically burdensome complication of Crohn's disease (CD), which is a type of inflammatory bowel disease. Identifying CD-related fibrostenosis (fsCD) in large datasets is challenging due to a lack of specific diagnostic codes. Manual chart review is the current standard, b...
Yiran Zhang, W. K. Mountford, Jennifer Thompson et al.· Advances in Therapy· 0 citations
The RF model based on serum lipid biomarkers serves as a robust, noninvasive tool for assessing breast cancer risk, showing significant potential for clinical decision support in screening programs.
Longmei Chen, Yuzhen Du, Wan-Chao Liu· The Breast Journal· 0 citations
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