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metadata
tags:
  - spacy
  - token-classification
language:
  - en
widget:
  - text: >-
      In recent years, fatty acid binding protein 5 (FABP5), also known as fatty
      acid transporter, has been widely researched with the help of modern
      genetic technology. Emerging evidence suggests its critical role in
      regulating lipid transport, homeostasis, and metabolism. Its involvement
      in the pathogenesis of various diseases such as metabolic syndrome, skin
      diseases, cancer, and neurological diseases is the key to understanding
      the true nature of the protein. This makes FABP5 be a promising component
      for numerous clinical applications. This review has summarized the most
      recent advances in the research of FABP5 in modulating cellular processes,
      providing an in-depth analysis of the protein’s biological properties,
      biological functions, and mechanisms involved in various diseases. In
      addition, we have discussed the possibility of using FABP5 as a new
      diagnostic biomarker and therapeutic target for human diseases, shedding
      light on challenges facing future research.
model-index:
  - name: en_BiomedNER_EuropePMC
    results:
      - task:
          name: NER
          type: token-classification
        metrics:
          - name: NER Precision
            type: precision
            value: 0.871384947
          - name: NER Recall
            type: recall
            value: 0.9057132188
          - name: NER F Score
            type: f_score
            value: 0.8882175227

Bio Named Entity Recognition using BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext

Feature Description
Name en_BiomedNER_EuropePMC
Version 1.0.0
spaCy >=3.2.4,<3.3.0
Default Pipeline transformer, ner
Components transformer, ner
Vectors 0 keys, 0 unique vectors (0 dimensions)
Sources n/a
License n/a
Author Santosh Tirunagari

Label Scheme

View label scheme (4 labels for 1 components)
Component Labels
ner CD, DS, GP, OG

Accuracy

Type Score
ENTS_F 88.82
ENTS_P 87.14
ENTS_R 90.57
TRANSFORMER_LOSS 92291.81
NER_LOSS 109755.03