Electronic Resource

The effects of gender bias in word embeddings on patient phenotyping in the mental health domain

التفاصيل البيبلوغرافية
العنوان: The effects of gender bias in word embeddings on patient phenotyping in the mental health domain
المؤلفون: Sub Social and Affective Computing, Social and Affective Computing, Sogancioglu, Gizem, Kaya, Heysem, Salah, Albert Ali
بيانات النشر: IEEE 2023-09-13
نوع الوثيقة: Electronic Resource
URL: https://doi.org/10.1109/ACII59096.2023.10388203
http://hdl.handle.net/1874/436564
https://dspace.library.uu.nl/handle/1874/436564
2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII)
2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII)
1
8
الاتاحة: Open access content. Open access content
Open Access (free)
ملاحظة: English
Other Numbers: QGJ oai:dspace.library.uu.nl:1874/436564
Sogancioglu , G , Kaya , H & Salah , A A 2023 , The effects of gender bias in word embeddings on patient phenotyping in the mental health domain . in 2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII) . , 10388203 , IEEE , pp. 1-8 , 2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII) , 10/09/23 . https://doi.org/10.1109/ACII59096.2023.10388203
conference
979-8-3503-2744-1
URN:NBN:NL:UI:10-1874-436564
212724352
1428153110
المصدر المساهم: UNIVERSITEIT UTRECHT
From OAIster®, provided by the OCLC Cooperative.
رقم الانضمام: edsoai.on1428153110
قاعدة البيانات: OAIster