PDF(Pubmed)
Abstract：
UNASSIGNED: To describe development and application of a checklist of criteria for selecting an automated machine learning (Auto ML) platform for use in creating clinical ML models.
UNASSIGNED: Evaluation criteria for selecting an Auto ML platform suited to ML needs of a local health district were developed in 3 steps: (1) identification of key requirements, (2) a market scan, and (3) an assessment process with desired outcomes.
UNASSIGNED: The final checklist comprising 21 functional and 6 non-functional criteria was applied to vendor submissions in selecting a platform for creating a ML heparin dosing model as a use case.
UNASSIGNED: A team of clinicians, data scientists, and key stakeholders developed a checklist which can be adapted to ML needs of healthcare organizations, the use case providing a relevant example.
UNASSIGNED: An evaluative checklist was developed for selecting Auto ML platforms which requires validation in larger multi-site studies.
UNASSIGNED: Evaluation criteria for selecting an Auto ML platform suited to ML needs of a local health district were developed in 3 steps: (1) identification of key requirements, (2) a market scan, and (3) an assessment process with desired outcomes.
UNASSIGNED: The final checklist comprising 21 functional and 6 non-functional criteria was applied to vendor submissions in selecting a platform for creating a ML heparin dosing model as a use case.
UNASSIGNED: A team of clinicians, data scientists, and key stakeholders developed a checklist which can be adapted to ML needs of healthcare organizations, the use case providing a relevant example.
UNASSIGNED: An evaluative checklist was developed for selecting Auto ML platforms which requires validation in larger multi-site studies.
摘要：
■描述选择用于创建临床ML模型的自动机器学习（AutoML）平台的标准清单的开发和应用。
■选择适合当地卫生区ML需求的AutoML平台的评估标准分为3个步骤：（1）确定关键要求，（2）市场扫描，和(3)具有预期结果的评估过程。
■在选择创建ML肝素给药模型的平台作为用例时，将包含21项功能和6项非功能标准的最终清单应用于供应商提交。
■一组临床医生，数据科学家,和关键利益相关者制定了一份清单，可以适应医疗机构的机器学习需求，提供相关示例的用例。
■开发了一个评估清单，用于选择需要在大型多站点研究中进行验证的AutoML平台。
■选择适合当地卫生区ML需求的AutoML平台的评估标准分为3个步骤：（1）确定关键要求，（2）市场扫描，和(3)具有预期结果的评估过程。
■在选择创建ML肝素给药模型的平台作为用例时，将包含21项功能和6项非功能标准的最终清单应用于供应商提交。
■一组临床医生，数据科学家,和关键利益相关者制定了一份清单，可以适应医疗机构的机器学习需求，提供相关示例的用例。
■开发了一个评估清单，用于选择需要在大型多站点研究中进行验证的AutoML平台。
