Junwei Lu
Harvard University
5 Papers
1 Citations
Junwei Lu is an academic researcher from Harvard University. The author has contributed to research in topics: Matrix (mathematics) & Matrix completion. The author has co-authored 5 publications. Previous affiliations of Junwei Lu include VA Boston Healthcare System.
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Papers
Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data.
Chuan Hong,Chuan Hong,Everett Rush,Molei Liu,Doudou Zhou,Jiehuan Sun,Aaron Sonabend,Victor M. Castro,Petra Schubert,Vidul A. Panickan,Tianrun Cai,Lauren Costa,Zeling He,Nicholas Link,Ronald G. Hauser,J. Michael Gaziano,J. Michael Gaziano,J. Michael Gaziano,Shawn N. Murphy,George Ostrouchov,Yuk-Lam Ho,Edmon Begoli,Junwei Lu,Junwei Lu,Kelly Cho,Kelly Cho,Kelly Cho,Katherine P. Liao,Katherine P. Liao,Katherine P. Liao,Tianxi Cai,Tianxi Cai,VA Million Veteran Program +32 more
- 27 Oct 2021
TL;DR: In this article, a large-scale code embedding for a wide range of codified concepts from EHRs from two large medical centers was constructed and knowledge extraction via sparse embedding regression (KESER) was performed for feature selection and integrative network analysis.
•Posted Content
Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices.
Doudou Zhou,Tianxi Cai,Junwei Lu +2 more
TL;DR: In this article, a blockwise missingness of symmetric matrices representing relatedness between entity pairs is treated to align the eigenspace of the two sub-matrices, then complete the missing blocks by the inner product of two low-rank components.
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Clinical Knowledge Extraction via Sparse Embedding Regression (KESER) with Multi-Center Large Scale Electronic Health Record Data
Chuan Hong,Chuan Hong,Everett Rush,Molei Liu,Doudou Zhou,Jiehuan Sun,Aaron Sonabend,Victor M. Castro,Petra Schubert,Vidul A. Panickan,Tianrun Cai,Lauren Costa,Zeling He,Nicholas Link,Ronald G. Hauser,J. Michael Gaziano,J. Michael Gaziano,J. Michael Gaziano,Shawn N. Murphy,George Ostrouchov,Yuk-Lam Ho,Edmon Begoli,Junwei Lu,Junwei Lu,Kelly Cho,Kelly Cho,Kelly Cho,Katherine P. Liao,Katherine P. Liao,Katherine P. Liao,Tianxi Cai,Tianxi Cai +31 more
TL;DR: In this paper, the authors developed knowledge extraction via sparse embedding regression (KESER) for feature selection and integrative network analysis based on the trained code embeddings.
•Posted Content
BELT: Block-wise Missing Embedding Learning Transformer
Doudou Zhou,Tianxi Cai,Junwei Lu +2 more
TL;DR: Zhang et al. as mentioned in this paper proposed the block-wise missing matrices (BELT) method to solve the orthogonal Procrustes problem, which can align the eigenspace of the two sub-matrices using their overlap.
•Posted Content
BELT: Blockwise Missing Embedding Learning Transfomer.
Doudou Zhou,Tianxi Cai,Junwei Lu +2 more
- 21 May 2021
TL;DR: In this article, the authors proposed a method to integrate multiple point-wise mutual information (PMI) matrices from multiple sources with row-wise/column-wise missingness.