activity
20182020
most citedLearning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction

14 citations · 36 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2020★ 10 cited

Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases

Luchen Liu, Zequn Liu, Haoxian Wu +4

Mortality prediction of diverse rare diseases using electronic health record (EHR) data is a crucial task for intelligent healthcare. However, data insufficiency and the clinical d…

cs.LG2019

Predictive Multi-level Patient Representations from Electronic Health Records

Zichang Wang, Haoran Li, Luchen Liu +2

The advent of the Internet era has led to an explosive growth in the Electronic Health Records (EHR) in the past decades. The EHR data can be regarded as a collection of clinical e…

cs.LG2019★ 3 cited

Early Prediction of Sepsis From Clinical Datavia Heterogeneous Event Aggregation

Luchen Liu, Haoxian Wu, Zichang Wang +2

Sepsis is a life-threatening condition that seriously endangers millions of people over the world. Hopefully, with the widespread availability of electronic health records (EHR), p…

cs.LG2019★ 9 cited

Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction

Luchen Liu, Haoran Li, Zhiting Hu +4

Clinical outcome prediction based on the Electronic Health Record (EHR) plays a crucial role in improving the quality of healthcare. Conventional deep sequential models fail to cap…

cs.AI2018★ 14 cited

Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction

Luchen Liu, Jianhao Shen, Ming Zhang +2

The availability of a large amount of electronic health records (EHR) provides huge opportunities to improve health care service by mining these data. One important application is…