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cs.LG2021★ 1 cited
Pre-training transformer-based framework on large-scale pediatric claims data for downstream population-specific tasks
Xianlong Zeng, Simon Lin, Chang Liu
The adoption of electronic health records (EHR) has become universal during the past decade, which has afforded in-depth data-based research. By learning from the large amount of h…
cs.LG2021
Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis
Xianlong Zeng, Simon Lin, Chang Liu
The claims data, containing medical codes, services information, and incurred expenditure, can be a good resource for estimating an individual's health condition and medical risk l…
cs.LG2019★ 1 cited
Distributed representation of patients and its use for medical cost prediction
Xianlong Zeng, Soheil Moosavinasab, En-Ju D Lin +3
Efficient representation of patients is very important in the healthcare domain and can help with many tasks such as medical risk prediction. Many existing methods, such as diagnos…