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README.md
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The model was trained on health diagnosis data and ICPC-2 codes, as well as mappings to ICD-10, available at:
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https://huggingface.co/datasets/diogocarapito/text-to-icpc2
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The model was trained using the Hugging Face Transformers library, based on the pre-trained bert-base-uncased model, and is available at:
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https://huggingface.co/diogocarapito/text-to-icpc2
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This project was developed by Diogo Carapito with the support of a research grant from AICIB and APMGF, as part of the Family Medicine residency program.
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Project GitHub: https://github.com/DiogoCarapito/text-to-icpc2
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## Model Details
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- **Developed by:** Diogo Carapito
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- **Funded by:** AICIB and APMGF
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- **Model type:** text-classification
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** apache-2.0
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- **Finetuned from model:** google-bert/bert-base-uncased
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### Model Sources [optional]
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- **Repository:** [https://github.com/DiogoCarapito/text-to-icpc2](https://github.com/DiogoCarapito/text-to-icpc2)
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- **Demo
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The model was trained on health diagnosis data and ICPC-2 codes, as well as mappings to ICD-10, available at:
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https://huggingface.co/datasets/diogocarapito/text-to-icpc2
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This project was developed by Diogo Carapito with the support of a research grant from AICIB and APMGF, as part of the Family Medicine residency program.
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Project GitHub: [https://github.com/DiogoCarapito/text-to-icpc2](https://github.com/DiogoCarapito/text-to-icpc2)
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Demo: [text-to-icpc2.com](text-to-icpc2.com)
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## Model Details
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- **Developed by:** Diogo Carapito
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- **Funded by:** AICIB and APMGF
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- **Model type:** text-classification
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<!-- - **Language(s) (NLP):** [More Information Needed] -->
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- **License:** apache-2.0
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- **Finetuned from model:** google-bert/bert-base-uncased
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### Model Sources [optional]
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- **Repository:** [https://github.com/DiogoCarapito/text-to-icpc2](https://github.com/DiogoCarapito/text-to-icpc2)
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- **Demo:** [text-to-icpc2.com](text-to-icpc2.com)
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