Jiang Bian

Semi-Supervised Neural Machine Translation via Marginal Distribution Estimation

2019 · IEEE/ACM Transactions on Audio Speech and Language Processing

Neural machine translation (NMT) heavily relies on parallel bilingual corpora for training. Since large-scale, high-quality parallel corpora are usually costly to collect, it is appealing to exploit monolingual corpora to improve NMT. Inspired by the …

Extracting Family History of Patients From Clinical Narratives: Exploring an End-to-End Solution With Deep Learning Models

2020 · JMIR Medical Informatics

BACKGROUND: Patients' family history (FH) is a critical risk factor associated with numerous diseases. However, FH information is not well captured in the structured database but often documented in clinical narratives. Natural language processing (NLP) …

Handling Inter-class and Intra-class Imbalance in Class-imbalanced Learning

2021 · arXiv (Cornell University)

Class-imbalance is a common problem in machine learning practice. Typical Imbalanced Learning (IL) methods balance the data via intuitive class-wise resampling or reweighting. However, previous studies suggest that beyond class-imbalance, intrinsic data difficulty factors like …

Clinical concept and relation extraction using prompt-based machine reading comprehension

2023 · Journal of the American Medical Informatics Association

OBJECTIVE: To develop a natural language processing system that solves both clinical concept extraction and relation extraction in a unified prompt-based machine reading comprehension (MRC) architecture with good generalizability for cross-institution applications. METHODS: We formulate …

Large Language Model as a Universal Clinical Multi-task Decoder

2024 · arXiv (Cornell University)

The development of effective machine learning methodologies for enhancing the efficiency and accuracy of clinical systems is crucial. Despite significant research efforts, managing a plethora of diversified clinical tasks and adapting to emerging new tasks …

A large language model for electronic health records

2022 · npj Digital Medicine

There is an increasing interest in developing artificial intelligence (AI) systems to process and interpret electronic health records (EHRs). Natural language processing (NLP) powered by pretrained language models is the key technology for medical AI …