跟腱断裂康复的医学数据推理
Bridging Medical Data Inference to Achilles Tendon Rupture Rehabilitation
摘要：
估算不完整的医学测试和预测患者结局对于指导治疗决策至关重要，例如在跟腱断裂（ATR）之后。我们制定的ATR相关的医疗测量的数据填补和预测的问题到一个推荐系统框架。通过应用MatchBox，这是一种协同过滤方法，从374例ATR患者收集的真实数据集上，我们的目标是提供个性化的医疗数据插补和预测。在这项工作中，我们展示了这种方法的可行性，并讨论了潜在的研究方向进行初步的定性评估。
英文摘要：
Imputing incomplete medical tests and predicting patient outcomes are crucial for guiding the decision making for therapy, such as after an Achilles Tendon Rupture (ATR). We formulate the problem of data imputation and prediction for ATR relevant medical measurements into a recommender system framework. By applying MatchBox, which is a collaborative filtering approach, on a real dataset collected from 374 ATR patients, we aim at offering personalized medical data imputation and prediction. In this work, we show the feasibility of this approach and discuss potential research directions by conducting initial qualitative evaluations.
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