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>Objective prediction of pharyngeal swallow dysfunction in dysphagia through artificial neural network modeling
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Objective prediction of pharyngeal swallow dysfunction in dysphagia through artificial neural network modeling
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机译:通过人工神经网络建模客观预测吞咽困难的吞咽功能障碍
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摘要
Pharyngeal pressure-flow analysis (PFA) of high resolution impedance-manometry (HRIM) with calculation of the swallow risk index (SRI) can quantify swallow dysfunction predisposing to aspiration. We explored the potential use of artificial neural networks (ANN) to model the relationship between PFA swallow metrics and aspiration and to predict swallow dysfunction.
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