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  # Dataset Building
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  ## Data Integration and Preprocessing
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@@ -47,6 +52,7 @@ The data underwent a preprocessing process.
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  ## Annotation with Stanza's i2b2 Clinical Model
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  The preprocessed English texts are then annotated using [Stanza's i2b2 Clinical Model](https://stanfordnlp.github.io/stanza/available_biomed_models.html). This model is specifically designed for clinical text processing, and it annotates each text with three labels:
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  - **PROBLEM**: Includes diseases, symptoms, and medical conditions.
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  - **TEST**: Represents diagnostic procedures and laboratory tests.
 
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  # Dataset Building
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+ ## Acknowledgement
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+ This dataset had been created as part of joint research of HUMADEX research group (https://www.linkedin.com/company/101563689/) and has received funding by the European Union Horizon Europe Research and Innovation Program project SMILE (grant number 101080923) and Marie Skłodowska-Curie Actions (MSCA) Doctoral Networks, project BosomShield ((rant number 101073222). Responsibility for the information and views expressed herein lies entirely with the authors.
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+ Authors:
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+ dr. Izidor Mlakar, Rigon Sallauka, dr. Umut Arioz, dr. Matej Rojc
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  ## Data Integration and Preprocessing
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  ## Annotation with Stanza's i2b2 Clinical Model
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  The preprocessed English texts are then annotated using [Stanza's i2b2 Clinical Model](https://stanfordnlp.github.io/stanza/available_biomed_models.html). This model is specifically designed for clinical text processing, and it annotates each text with three labels:
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  - **PROBLEM**: Includes diseases, symptoms, and medical conditions.
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  - **TEST**: Represents diagnostic procedures and laboratory tests.