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Skip search results from other journals and go to results- 586 Journal of Medical Internet Research
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Frequency analyses of positive and negative feedback given by the refugees from (A) Ukraine and (B) other countries of origin participating in the qualitative study in Germany. The numbers of positive and negative feedback are illustrated separately for the adapted version and the nonadapted version of the digital intervention Sleep-e tested in the study. oth: other countries of origin; ukr: Ukraine.
You can take a lot from it also. And you can learn easily also.
To have the training..., it’s much easier.
JMIR Form Res 2025;9:e65412
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Large Language Model Applications for Health Information Extraction in Oncology: Scoping Review
Number of studies that evaluated (A) fine-tuning and (B) prompt engineering methodologies to optimize large language model data extraction performance.
Our scoping review of 24 studies highlights significant research interest in designing, evaluating, and deploying LLMs for data extraction from clinical text in oncology. The most commonly used LLMs for data extraction from clinical text in oncology include BERT and Chat-GPT, two of the most well-known LLMs in NLP research.
JMIR Cancer 2025;11:e65984
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Patterns of Internet Use in People Diagnosed With Severe Mental Illness: Qualitative Interview Study
J Med Internet Res 2025;27:e55072
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