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Found 5 papers, 0 papers with code
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.
Diversifying the Genomic Data Science Research Community
Over the last 20 years, there has been an explosion of genomic data collected for disease association, functional analyses, and other large-scale discoveries.
The importance of transparency and reproducibility in artificial intelligence research
In their study, McKinney et al. showed the high potential of artificial intelligence for breast cancer screening.
Applications
Tools for analyzing R code the tidy way
In order to analyze the between researcher variability in data analysis choices as well as the aspects within the data analysis pipeline that contribute to the variability in results, we have created two R packages: matahari and tidycode.
Computation
