Optimizing Resource Allocation through Data-Driven Patient Segmentation: A Machine Learning Approach to Enhance Outpatient and Home Transfusion Services
Optimizing Resource Allocation through Data-Driven Patient Segmentation: A Machine Learning Approach to Enhance Outpatient and Home Transfusion Services
通过数据驱动的患者细分优化资源分配：增强门诊和家庭输血服务的机器学习方法
批准号：
493337
负责人：
Li Na
金额：
$0.15万
依托单位：
依托单位国家：
加拿大
项目类别：
财政年份：
2023
资助国家：
加拿大
项目状态：
已结题
起止时间：
2023-10-01 至 2024-10-01
中文摘要
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英文摘要
Healthcare systems globally are challenged with providing quality care to diverse patients, efficiently utilizing available resources. It is crucial to meet each patient's unique needs - some require specialized hospital care, while others can be effectiv
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Developing Federated Learning Strategies for Disease Surveillance Using Cross-Jurisdiction Electronic Medical Records without Data Sharing: With Applications to Acute Myocardial Infarction, Hypertension, and Sepsis Detection
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批准号：468573
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项目类别：Operating Grants
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资助金额：$51.27万
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财政年份：2022
-
负责人：Li Na
-
依托单位：
Developing Federated Learning Strategies for Disease Surveillance Using Cross-Jurisdiction Electronic Medical Records without Data Sharing: With Applications to Sepsis Detection
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批准号：464488
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项目类别：Operating Grants
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资助金额：$0.0万
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财政年份：2022
-
负责人：Li Na
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依托单位：
海外基金
