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From Narratives to Numbers: Valid Inference Using Language Model Predictions from Verbal Autopsy Narratives
In this paper, we develop a method for valid inference using outcomes (in our case COD) predicted from free-form text using state-of-the-art NLP techniques.
Do We Really Even Need Data?
As artificial intelligence and machine learning tools become more accessible, and scientists face new obstacles to data collection (e. g. rising costs, declining survey response rates), researchers increasingly use predictions from pre-trained algorithms as outcome variables.
Deep Learning of Semi-Competing Risk Data via a New Neural Expectation-Maximization Algorithm
Prognostication for lung cancer, a leading cause of mortality, remains a complex task, as it needs to quantify the associations of risk factors and health events spanning a patient's entire life.
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