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+ ---
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+ license: cc-by-nc-4.0
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+ language:
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+ - de
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+ base_model:
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+ - google-bert/bert-base-german-cased
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+ pipeline_tag: text-classification
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+ tags:
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+ - depression
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+ - mental-health
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+ - MADRS
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+ - german
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+ - clinical
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+ - interview
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+ ---
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+
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+ # MADRS-BERT
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+ **MADRS-BERT** is a fine-tuned `bert-base-german-cased` model that predicts depression severity scores (0–6) across individual items of the [Montgomery-Åsberg Depression Rating Scale (MADRS)](https://en.wikipedia.org/wiki/MADRS). Each prediction is based on transcribed, structured clinician–patient interview segments.
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+ - 🧾 **Publication**: [https://doi.org/10.21203/rs.3.rs-6555767/v1](https://doi.org/10.21203/rs.3.rs-6555767/v1)
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+ - 📂 **Example dataset**: [https://github.com/webersamantha/MADRS-BERT](https://github.com/webersamantha/MADRS-BERT)
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+ This model was developed to support standardized, scalable mental health assessments in both clinical and low-resource settings.
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+ ---