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AI-Led Mental Health Support (Wysa) for Health Care Workers During COVID-19: Service Evaluation
JMIR Form Res 2024;8:e51858
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Impact of Translation on Biomedical Information Extraction: Experiment on Real-Life Clinical Notes
For this step, we used the algorithm of Wajsbürt [29] described in Gérardin et al [30]. This model is based on the representation of a BERT transformer [3] and calculates the scores of all possible concepts to be predicted in the text. The extracted concepts are delimited by 3 values: start, end, and label. More precisely, the encoding of the text corresponds to the last 4 layers of BERT, Fast Text integration, and a max-pool Char-CNN [31] representation of the word.
JMIR Med Inform 2024;12:e49607
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Development of a Connected Sensor System in Colorectal Surgery: User-Centered Design Case Study
JMIR Hum Factors 2022;9(3):e31529
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