Publications by authors named "Wang Fu-Sang"
The decision-making of how to treat urinary infection stones was complicated by the difficulty in preoperative diagnosis of these stones. Hence, we developed machine learning (ML) models that can be leveraged to discriminate between infection and noninfection stones in urolithiasis patients before treatment. We enrolled 462 patients with urinary stones and randomly stratified them into training (80%) and testing sets (20%).
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- * Researchers evaluated five different machine learning models and found similar predictive performance among them, significantly outperforming existing clinical prediction tools like the HIAT, THRIVE score, and NADE nomogram.
- * Out of 1,735 AIS patients studied, 31.2% experienced unfavorable outcomes, and incorporating specific patient data helped improve prediction accuracy, particularly with the Random Forest Classifier (RFC) model.
The optimal duration of dual antiplatelet therapy (DAPT) as a routine treatment in stroke patients is still controversial. The efficacy and safety of DAPT may vary with different regiments, initiating treatment time and race. Our study assessed the efficacy and safety of DAPT in patients with stroke and to determine the factors influencing the efficacy and safety of DAPT.
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