A set-transformer that embeds test names with GPT text vectors and predicts abnormal glucose, cholesterol, ferritin, and uric acid from incomplete lab panels, with AUC gains over MLP baselines.
The selection and use of essential in vitro diagnostics: Report of the third meeting of the strategic advisory group of experts on in vitro diagnostics,
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Universal Laboratory Model: prognosis of abnormal clinical outcomes based on routine tests
A set-transformer that embeds test names with GPT text vectors and predicts abnormal glucose, cholesterol, ferritin, and uric acid from incomplete lab panels, with AUC gains over MLP baselines.