Disease risk prediction

Causal Transformer for Learning Embeddings from Structured Medical History Records and Multi-Source Data Integration for Complex Disease Risk Prediction
A multi-source integration framework for disease risk prediction that uses causal Transformer to learn embeddings from medical history records combined with genetic, lifestyle, and physical data.
Zeming Li, Yu Xu 许煜, Debajyoti Chowdhury, Hip Fung Yip, Chonghao Wang, Lu Zhang
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Med-PRSIMD: Enhanced Complex Disease Risk Prediction through Integrative Analysis of Multi-Type Data and Medical History Records
An enhanced complex disease risk prediction model that integrates genetic variants, lifestyle factors, physical attributes, and medical history records for comprehensive risk assessment.
Zeming Li, Yu Xu 许煜, Debajyoti Chowdhury, Hip Fung Yip, Chonghao Wang, Lu Zhang
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A machine learning model for disease risk prediction by integrating genetic and non-genetic factors
Polygenic risk score (PRS) has been widely used to identify the high-risk individuals from the general population, which would be …
Yu Xu 许煜, Lu Zhang, et al
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