The roberta-base-robson-criteria-classification-ner-es is a Named Entity Recognition (NER) model for the Spanish language fine-tuned from the RoBERTa base model.
Model Details
Model Description
In the table below, we have outlined the entities set. Most entities are based on the obstetric variables described in the Robson Implementation Manual Robson Classification: Implementation Manual. However, we have added nine additional entities related to the use of antibiotics, uterotonics, dose, posology, complications, obstetric hemorrhage, the outcome of delivery (whether it was a vaginal birth or a cesarean section), and the personal information within the Electronic Health Records (EHRs).
Clinical entities set
No
Spanish Entity
English Entity
Obsetric variable
1
Parto nulípara
Nullipara labor
Parity
2
Parto multípara
Multipara labor
3
Cesárea previa (Si)
One or more Cesarean Section
Previous Cesarean Section
4
Cesárea previa (No)
None Cesarean Section
5
TDP espontáneo
Spontaneous labor
Onset of labour
6
TDP inducido
Induced labor
7
TDP No: cesárea programada
No labor, scheduled Cesarean Section
8
Embarazo único
Singleton pregnancy
Number of fetuses
9
Embarazo Múltiple
Multiple pregnancy
10
Edad < 37 semanas
Preterm pregnancy
Gestational age
11
Edad ≥ 37 semanas
Term pregnancy
12
Posición cefálica
Cephalic presentation
Fetal lie and presentation
13
Posición podálica
Breech presentation
14
Situación transversa
Transverse lie
15
Antibiótico
Antibiotic
16
Complicación
Complication
17
Dosis
Dose
18
Hemorragia Obstétrica
Obstetric Hemorrhage
19
Info personal
Personal Information
20
Posología
Posology
21
Tipo de resolución: parto
Delivery resolution: VB
22
Tipo de resolución: cesarea
Delivery resolution: CS
23
Uterotónico
Uterotonic
This model detects entities by classifying every token according to the IOB format:
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Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
