24 citations · 36 across the 3 of their papers we have counts for
6 papers · 1 filter
Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes
Yikuan Li, Liang Yao, Chengsheng Mao +3
Acute kidney injury (AKI) in critically ill patients is associated with significant morbidity and mortality. Development of novel methods to identify patients with AKI earlier will…
Distribution Networks for Open Set Learning
Chengsheng Mao, Liang Yao, Yuan Luo
In open set learning, a model must be able to generalize to novel classes when it encounters a sample that does not belong to any of the classes it has seen before. Open set learni…
Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images
Chengsheng Mao, Yiheng Pan, Zexian Zeng +2
Thoracic diseases are very serious health problems that plague a large number of people. Chest X-ray is currently one of the most popular methods to diagnose thoracic diseases, pla…
Graph Convolutional Networks for Text Classification
Liang Yao, Chengsheng Mao, Yuan Luo
Text classification is an important and classical problem in natural language processing. There have been a number of studies that applied convolutional neural networks (convolutio…
Clinical Text Classification with Rule-based Features and Knowledge-guided Convolutional Neural Networks
Liang Yao, Chengsheng Mao, Yuan Luo
Clinical text classification is an important problem in medical natural language processing. Existing studies have conventionally focused on rules or knowledge sources-based featur…
Developing a Portable Natural Language Processing Based Phenotyping System
Himanshu Sharma, Chengsheng Mao, Yizhen Zhang +7
This paper presents a portable phenotyping system that is capable of integrating both rule-based and statistical machine learning based approaches. Our system utilizes UMLS to extr…