Min Jiang

Clinical Named Entity Recognition Using Deep Learning Models.

2017 · PubMed

Clinical Named Entity Recognition (NER) is a critical natural language processing (NLP) task to extract important concepts (named entities) from clinical narratives. Researchers have extensively investigated machine learning models for clinical NER. Recently, there have …

A Scalable and Flexible Multi-User Semi-Quantum Secret Sharing

2018

In this letter, we proposed a novel scheme for the realization of scalable and flexible semi-quantum secret sharing between a boss and multiple dynamic agent groups. In our scheme, the boss Alice can not only …

Multiview Subgraph Neural Networks: Self-Supervised Learning With Scarce Labeled Data

2024 · IEEE Transactions on Neural Networks and Learning Systems

While graph neural networks (GNNs) have become the de facto standard for graph-based node classification, they impose a strong assumption on the availability of sufficient labeled samples. This assumption restricts the classification performance of prevailing …

CLAMP – a toolkit for efficiently building customized clinical natural language processing pipelines

2017 · Journal of the American Medical Informatics Association

Existing general clinical natural language processing (NLP) systems such as MetaMap and Clinical Text Analysis and Knowledge Extraction System have been successfully applied to information extraction from clinical text. However, end users often have to …