Illuminating the black box: Machine learning enhances preoperative prediction in intrahepatic cholangiocarcinoma [0.03%]
Eyad Gadour,Mohammed S AlQahtani
Eyad Gadour
The integration of the Shapley additive explanation technique enhances the interpretability of the model, which is crucial for clinical decision-making.
Illuminating the black box: Machine learning enhances preoperative prediction in intrahepatic cholangiocarcinoma [0.03%]
Eyad Gadour,Mohammed S AlQahtani
Eyad Gadour
The integration of the Shapley additive explanation technique enhances the interpretability of the model, which is crucial for clinical decision-making.
A machine learning-based predictive model for the occurrence of lower extremity deep vein thrombosis after laparoscopic surgery in abdominal surgery [0.03%]
Su-Zhen Yang,Ming-Hui Peng,Quan Lin et al.
Su-Zhen Yang et al.
We employed two interpretability methods: decomposition interpretation and Shapley additive explanation.
Artificial intelligence in clinical decision support and the prediction of adverse events [0.03%]
人工智能在临床决策支持和不良事件预测中的应用
S P Oei,T H G F Bakkes,M Mischi et al.
S P Oei et al.
The lack of interpretability in AI models poses trust and transparency issues, advocating for transparent algorithms and requiring rigorous testing on specific hospital populations before implementation.
Machine learning and explainable artificial intelligence to predict and interpret lead toxicity in pregnant women and unborn baby [0.03%]
机器学习和可解释的人工智能预测并解读孕妇和胎儿铅中毒的情况
Priyanka Chaurasia,Pratheepan Yogarajah,Abbas Ali Mahdi et al.
Priyanka Chaurasia et al.
However, for such predictive models to gain broader acceptance, especially in clinical and public health settings, transparency and interpretability are essential.
Empirically Informed, Idiographic Networks of Concordant and Discordant Motives: An Experience Sampling Study With Network Analysis in Non-Clinical Participants [0.03%]
基于经验的同调与异质动机共情图谱的经验取样研究：来自非临床参与者的网络分析结果
Thies Lüdtke,Fabian Steiner,Thomas Berger et al.
Thies Lüdtke et al.
Insufficient variance due to a healthy sample and the small number of observations limit the interpretability of findings.
Estimating the Number of Latent Ranks of the Fugl-Meyer Assessment Score for the Affected Upper Extremity After Stroke [0.03%]
基于脑卒中后偏侧上肢FM评估量表分数的潜在级位数估算
Kensuke Hara,Yuta Tauchi,Keisuke Hanada et al.
Kensuke Hara et al.
Furthermore, we recommend the novel interpretability of FMA-UE, which previous studies have yet to find.
Mengyao Tang,Lanlan Chen
Mengyao Tang
Recent advances such as multivariable MR, mediation analysis, and integration with AI and omics data have enhanced the robustness and biological interpretability of MR studies.
Rapid antibiotic sensitivity prediction in Pseudomonas aeruginosa using UV-vis-NIR spectroscopy and gray-box one-vs-all models [0.03%]
基于UV-可见-近红外光谱和灰箱一类对多模型的铜绿假单胞菌抗生素敏感性快速预测
Tsung-Han Chou,Chi-Wei Chen,Su-Hua Huang et al.
Tsung-Han Chou et al.
Unlike prior approaches that depend on expensive instruments or black-box algorithms, our method leverages spectral pattern interpretability to identify key wavelength features associated with distinct resistance categories.
Mathematical modeling of a force-velocity-position relationship in vertical jump [0.03%]
垂直跳跃中力-速度-位置关系的数学建模
Félicie Pommerell,Sébastien Boyas,Abderrahmane Rahmani et al.
Félicie Pommerell et al.
Nevertheless, the Linear model offers simplicity and interpretability by focusing on key physiological parameters (e.g., maximal force, maximal velocity, and optimal position) commonly used in applied sports contexts....This combination of simplicity and interpretability represents a significant step forward in the modeling of multi-joint movements, offering practical insights for sport performance optimization.
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