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# psyBERTpt #

psyBERTpt is one of the few language models for clinical NER available in Portuguese, such as BioBERTpt PUC models.
psyBERTpt is a NER model built from the fine tuning of BERT-portuguese-large-cased.
psyBERTpt used, in the fine tuning stage, a corpus composed of 300 medical records of admission to a specialized psychiatric hospital, which was annotated by 5 doctors and nurses specialized in psychiatry in the following NER categories:

Self-Destructive Behavior
Diagnosis
Drug
Pharmaceutical
Psychic Function
Family History
Patient History
Observation
Symptom and Psychological Complaint

psyBERTpt achieved a precision of 0.65, recall of 0.69 and f1-score of 0.67.

The scientific article that presents the psyBERTpt is waiting to be published =)


My thanks to everyone who was part of this project:
Ms. Luiz Henrique Pereira Niero (me) ([email protected])
Prof. Dr. Ivan Rizzo Guilherme ([email protected])
Prof. Dr. Lucas Emanuel Silva e Oliveira ([email protected])
Prof. Dr. Gerardo Maria de Araújo Filho ([email protected])
Dr. Gabriel
Enf. Giovanna Favareto
Dra. Leisa
Dra. Loíse
Hospital Dr. Adolfo Bezerra de Menezes

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+ language:
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+ - pt
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+ metrics:
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+ - accuracy
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+ library_name: adapter-transformers
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+ pipeline_tag: token-classification
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+ tags:
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+ - medical
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