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Predicting the Progression and Brace Treatment Response in Spinal Deformities with Temporal-based Machine Learning Approaches

Predicting the Progression and Brace Treatment Response in Spinal Deformities with Temporal-based Machine Learning Approaches
使用基于时间的机器学习方法预测脊柱畸形的进展和支具治疗反应
批准号：
408279
负责人：
Parent Stefan
金额：
$62.98万
依托单位：
Centre hospitalier universitaire Sainte-Justine (Montral, Qubec)
依托单位国家：
加拿大
项目类别：
Operating Grants
财政年份：
2019
资助国家：
加拿大
项目状态：
已结题
起止时间：
2019-09-01 至 2024-09-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=408279&lang=en
关键词：
3d Reconstruction Adolescent Idiopathic Scoliosis Artificial Intelligence Biomedical Engineering Biomedical Technology Classification And Regression Trees Computer Models Machine Learning Prospective Study

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中文摘要
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英文摘要
Adolescent idiopathic scoliosis (AIS) is a three-dimensional deformity affecting the orientation and position of the vertebrae, intervertebral disk and spine in space. AIS affects between 2- 3% of the population with young adolescent female being affected
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