公开(公告)号：US11574122B2

公开(公告)日：2023-02-07

申请号：US16544837

申请日：2019-08-19

Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION

Inventor： Feng Gao ,  Changsheng Liu ,  Yue Pan ,  Youbing Yin ,  Kunlin Cao ,  Qi Song

IPC: G06F40/295 ,  G06N3/08 ,  G16H10/60

Abstract: Embodiments of the disclosure provide systems and methods for processing unstructured texts in a medical record. A disclosed system includes at least one processor configured to determine a plurality of word representations of an unstructured text and tag entities in the unstructured text by performing a named entity recognition task on the plurality of word representations. The at least one processor is further configured to determine position embeddings based on positions of words in the unstructured text relative to positions of the tagged entities and concatenate the plurality of word representations with the position embeddings. The at least one processor is also configured to determine relation labels between pairs of tagged entities by performing a relationship extraction task on the concatenated word representations and position embeddings.

公开(公告)号：US20200065374A1

公开(公告)日：2020-02-27

申请号：US16544837

申请日：2019-08-19

Applicant: SHENZHEN KEYA MEDICAL TECHNOLOGY CORPORATION

Inventor： Feng Gao ,  Changsheng Liu ,  Yue Pan ,  Youbing Yin ,  Kunlin Cao ,  Qi Song

IPC: G06F17/27 ,  G16H10/60 ,  G06N3/08

Abstract: Embodiments of the disclosure provide systems and methods for processing unstructured texts in a medical record. A disclosed system includes at least one processor configured to determine a plurality of word representations of an unstructured text and tag entities in the unstructured text by performing a named entity recognition task on the plurality of word representations. The at least one processor is further configured to determine position embeddings based on positions of words in the unstructured text relative to positions of the tagged entities and concatenate the plurality of word representations with the position embeddings. The at least one processor is also configured to determine relation labels between pairs of tagged entities by performing a relationship extraction task on the concatenated word representations and position embeddings.