利用風險因子預測異常聽覺腦幹反應結果

// Predicting abnormal auditory brainstem response outcomes using risk factors

本研究利用臨床風險因子建立邏輯迴歸模型，預測兒童異常的聽覺腦幹反應（ABR）結果｜模型準確度中等，曲線下面積（AUC）約0.68，主要預測因子包括新生兒聽力篩檢轉介及症候群診斷｜在風險閾值35%時，能偵測53%異常病例，特異性75%，有助提升手術室排程效率並縮短ABR檢測等待時間。

// This study developed a logistic regression model using clinical risk factors to predict abnormal auditory brainstem response (ABR) results in children. The model showed moderate accuracy (AUC ≈ 0.68) and identified key predictors like universal newborn hearing screening referral and syndrome diagnosis. It detected 53% of abnormal cases with 75% specificity at a 35% risk threshold. The model could improve operating room scheduling efficiency and reduce wait times for ABR testing.

Published 2026年6月15日