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Assessing the International Transferability of a Machine Learning Model for Detecting Medication Error in the General Internal Medicine Clinic: Multicenter Preliminary Validation Study

机译：评估机器学习模型的国际可转让性检测通用内科诊所中的药物误差：多中心初步验证研究

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Yen Po Harvey Chin; Wenyu Song; Chia En Lien; Chang Ho Yoon; Wei-Chen Wang; Jennifer Liu; Phung Anh Nguyen; Yi Ting Feng; Li Zhou; Yu Chuan Jack Li; David Westfall Bates;
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1. Assessing the International Transferability of a Machine Learning Model for Detecting Medication Error in the General Internal Medicine Clinic: Multicenter Preliminary Validation Study [J] . Yen Po Harvey Chin, Wenyu Song, Chia En Lien, JMIR Medical Informatics . 2021,第1期

机译：评估机器学习模型的国际转移性检测通用内科诊所中的药物误差：多中心初步验证研究
2. Reply to the letter to the editor regarding "A clinical prediction model to assess surgical outcome in patients with cervical spondylotic myelopathy: internal and external validation using the prospective multicenter AOSpine North American and International datasets of 743 patients.'' Spine J 2015; 15:388-397 [J] . Fehlings Michael G., Tetreault Lindsay, Cote Pierre, The spine journal: official journal of the North American Spine Society . 2015,第11期

机译：回复给编辑的信，内容涉及“用于评估颈椎病性脊髓病患者手术结局的临床预测模型：使用前瞻性多中心AOSpine北美和国际数据集（743位患者）进行内部和外部验证。” Spine J 2015; 15： 388-397
3. A clinical prediction model to assess surgical outcome in patients with cervical spondylotic myelopathy: internal and external validations using the prospective multicenter AOSpine North American and international datasets of 743 patients [J] . Tetreault Lindsay A., Cote Pierre, Kopjar Branko, The spine journal: official journal of the North American Spine Society . 2015,第3期

机译：用于评估颈椎病性脊髓病患者手术效果的临床预测模型：使用前瞻性多中心AOSpine北美和国际数据集（743位患者）进行内部和外部验证
4. The Precise Observation System for the Safe Use of Medicines (POSSUM): An Approach for Studying Medication Administration Errors in the Field [C] . Johanna I WESTBROOK, Magdalena Z RABAN, Elin C LEHNBOM, HEC (Conference) . 2016

机译：安全使用药物（负鼠）的精确观察系统：一种研究田间药物管理误差的方法
5. Strategies for Reducing Medication Errors in an Outpatient Internal Medicine Clinic [D] . Obua, Uche 2019

机译：减少门诊内科诊所用药错误的策略
6. Machine Learning Models to Improve the Differentiation Between Benign and Malignant Breast Lesions on Ultrasound: A Multicenter External Validation Study [O] . Ling Huo, Yao Tan, Shu Wang, 2021

机译：机器学习模型提高超声波对良性和恶性乳房病变的差异：多中心外部验证研究
7. Assessing the International Transferability of a Machine Learning Model for Detecting Medication Error in the General Internal Medicine Clinic: Multicenter Preliminary Validation Study (Preprint) [O] . Yen Po Harvey Chin, Wenyu Song, Chia En Lien, 2020

机译：评估机器学习模型的国际可转让性检测通用内科诊所中的药物误差：多中心初步验证研究（预印）

Assessing the International Transferability of a Machine Learning Model for Detecting Medication Error in the General Internal Medicine Clinic: Multicenter Preliminary Validation Study

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