726 citations · 2.2k across the 66 of their papers we have counts for
10 papers · 1 filter
Convolutional Neural Networks for Medical Diagnosis from Admission Notes
Christy Li, Dimitris Konomis, Graham Neubig +3
Develop an automatic diagnostic system which only uses textual admission information from Electronic Health Records (EHRs) and assist clinicians with a timely…
Predicting Discharge Medications at Admission Time Based on Deep Learning
Yuan Yang, Pengtao Xie, Xin Gao +4
Predicting discharge medications right after a patient being admitted is an important clinical decision, which provides physicians with guidance on what type of medication regimen…
Towards Automated ICD Coding Using Deep Learning
Haoran Shi, Pengtao Xie, Zhiting Hu +2
International Classification of Diseases(ICD) is an authoritative health care classification system of different diseases and conditions for clinical and management purposes. Consi…
Learning Less-Overlapping Representations
Pengtao Xie, Hongbao Zhang, Eric P. Xing
In representation learning (RL), how to make the learned representations easy to interpret and less overfitted to training data are two important but challenging issues. To address…
Stacked Kernel Network
Shuai Zhang, Jianxin Li, Pengtao Xie +4
Kernel methods are powerful tools to capture nonlinear patterns behind data. They implicitly learn high (even infinite) dimensional nonlinear features in the Reproducing Kernel Hil…
Diversity-Promoting Bayesian Learning of Latent Variable Models
Pengtao Xie, Jun Zhu, Eric P. Xing
To address three important issues involved in latent variable models (LVMs), including capturing infrequent patterns, achieving small-sized but expressive models and alleviating ov…
Medical Diagnosis From Laboratory Tests by Combining Generative and Discriminative Learning
Shiyue Zhang, Pengtao Xie, Dong Wang +1
A primary goal of computational phenotype research is to conduct medical diagnosis. In hospital, physicians rely on massive clinical data to make diagnosis decisions, among which l…
On the Automatic Generation of Medical Imaging Reports
Baoyu Jing, Pengtao Xie, Eric Xing
Medical imaging is widely used in clinical practice for diagnosis and treatment. Report-writing can be error-prone for unexperienced physicians, and time- consuming and tedious for…
Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition
Devendra Singh Sachan, Pengtao Xie, Mrinmaya Sachan +1
Biomedical named entity recognition (NER) is a fundamental task in text mining of medical documents and has many applications. Deep learning based approaches to this task have been…
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters
Hao Zhang, Zeyu Zheng, Shizhen Xu +7
Deep learning models can take weeks to train on a single GPU-equipped machine, necessitating scaling out DL training to a GPU-cluster. However, current distributed DL implementatio…