Deep learning-based risk prediction for interventional clinical trials based on protocol design: A retrospective study
Success rate of clinical trials (CTs) is low, with the protocol design itself being considered a
major risk factor. We aimed to investigate the use of deep learning methods to predict the …
major risk factor. We aimed to investigate the use of deep learning methods to predict the …
DS4DH at MEDIQA-Chat 2023: Leveraging SVM and GPT-3 Prompt Engineering for Medical Dialogue Classification and Summarization
This paper presents the results of the Data Science for Digital Health (DS4DH) group in the
MEDIQA-Chat Tasks at ACL-ClinicalNLP 2023. Our study combines the power of a classical …
MEDIQA-Chat Tasks at ACL-ClinicalNLP 2023. Our study combines the power of a classical …
Leveraging patient similarities via graph neural networks to predict phenotypes from temporal data
Several machine learning approaches have been proposed to automatically derive clinical
phenotypes from patient data. Nevertheless, methods leveraging similarity-based patient …
phenotypes from patient data. Nevertheless, methods leveraging similarity-based patient …