Named Entity Recognition in Electronic Health Records

Nested Named Entity Recognition for Chinese Electronic Health ...

This study presents a novel QA-based sequence labeling (QASL) approach to naturally tackle both flat and nested Named Entity Recogntion (NER) tasks

Benchmarking Modern Named Entity Recognition Techniques for ...

Electronic Health Records (EHRs) have become the primary form of medical data-keeping across the United States. Federal law restricts the sharing of any EHR ...

Clinical named entity recognition and relation extraction using ...

With the advent of the information age, clinical documentation has moved from paper records into a digital format, commonly known as electronic ...

Named Entity Recognition for Electronic Health Records

Dive into the research topics of 'Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches'. Together ...

Medical Named Entity Recognition - Papers With Code

Named entity recognition (NER) is a widely applicable natural language processing task and building block of question answering, topic modeling, information ...

A large language model for electronic health records - Nature

In the general domain, the transformer-based NLP models have achieved state-of-the-art performance for name entity recognition, relation ...

Named Entity Recognition over Electronic Health Records Through ...

Abstract. In health care information systems, electronic health records are an important part of the knowledge concerning individual health histories. ... This ...

Accurate Clinical and Biomedical Named Entity Recognition at Scale

Named entity recognition (NER) is one of the most important building blocks of NLP tasks in the medical domain by extracting meaningful ...

Concept attribute labeling and context-aware named entity ...

This paper proposes an approach for NER and concept attribute labeling for EHR that takes into consideration the contextual words around the entity of interest ...

Leveraging weak supervision to perform named entity recognition in ...

Leveraging weak supervision to perform named entity recognition in electronic health records progress notes to identify the ophthalmology exam ... Authors: Sophia ...

Named Entity Recognition on Medical Data using Pre-Trained LLM

Medical data can come in various forms, such as clinical notes, electronic health records, and medical literature. ○ Clinical notes are particularly useful ...

Information extraction from electronic medical documents: state of ...

The main principal tasks are named entity recognition and relation extraction since they can structure the text by extracting the relevant ...

Benchmarking Modern Named Entity Recognition Techniques for ...

De-identification, the process of identifying and removing all PHI, is crucial for making EHR data publicly available for scientific research.

Large-Scale Application of Named Entity Recognition to ... - medRxiv

In the biomedical domain, a fundamental task of NLP is the recognition of named entities, such as genes, diseases, species, chemicals, medical ...

Clinical Named Entity Recognition From Chinese Electronic Health ...

Therefore, clinical named entity recognition (CNER), which is used to identify the boundary of clinical entities such as body parts and diagnoses and then ...

Clinical Named Entity Recognition From Chinese Electronic Health ...

However, it is challenging to make machines understand the clinical narratives. OBJECTIVE:This study aimed to automatically identify Chinese clinical entities ...

Research on named entity recognition of chinese electronic medical ...

In the medical field, Named Entity Recognition (NER) plays a crucial role in the process of information extraction through electronic ...

Building Named Entity Recognition Models - Persistent Systems

Understanding the co-occurrence of disease and chemicals in the Electronic Health Record (EHR) of a patient is useful for most pharmaceutical ...

BioBERT Based Named Entity Recognition in Electronic Medical ...

The identification and mining of entities in Electronic Medical Record (EMR) plays an important role in medical diagnosis. This paper used the BioBERT model ...

Neural Networks Named entity recognition in electronic health ...

Nevado-Holgado). to biomedical research, multiplying the quantity and variety of scientifically useable data, which is the reason why major ...