Smart causal machine learner that combines CT image and RNA-seq markers for cancer diagnosis and pre

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：liongliong538

【摘要】

：

The current paradigm for disease risk prediction and association analysis is to use unstructured variables for classification and testing.Less attention has been paid to structured data.

【作者】

：

Pengfei Hu Nan Lin Long Ma Momiao Xiong

【机构】

：

State Key Laboratory of Genetic Engineering and Ministry of Education,Key Laboratory of Contemporary

【出处】

：

上海交通大学

【发表日期】

：

2016年4期

【关键词】

：

Causal inference machine learning sufficient dimension reduction ovarian cancer

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　　The current paradigm for disease risk prediction and association analysis is to use unstructured variables for classification and testing.Less attention has been paid to structured data.

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