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Machine learning algorithms trained with pre-hospital acquired history-taking data can accurately differentiate diagnoses in patients with hip complaints

机译：使用预科预测历史记录数据培训的机器学习算法可以准确地区分髋关节投诉患者的诊断

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Michiel Siebelt; Dirk Das; Amber Van Den Moosdijk; Tristan Warren; Peter Van Der Putten; Walter Van Der Weegen;
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1. Machine learning algorithms trained with pre-hospital acquired history-taking data can accurately differentiate diagnoses in patients with hip complaints [J] . Michiel Siebelt, Dirk Das, Amber Van Den Moosdijk, Acta orthopaedica. . 2021,第3期

机译：采用预科预测历史记录数据培训的机器学习算法可以准确地区分髋关节投诉的患者诊断
2. Machine Learning Algorithms Can Use Wearable Sensor Data to Accurately Predict Six-Week Patient-Reported Outcome Scores Following Joint Replacement in a Prospective Trial [J] . Bini Stefano A., Shah Romil E., Bendich Ilya, The Journal of arthroplasty . 2019,第10期

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Machine learning algorithms trained with pre-hospital acquired history-taking data can accurately differentiate diagnoses in patients with hip complaints

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