Publications by authors named "Kristin Vargo"
Herbicide and pesticide exposure [e.g., agent orange (AO)] is associated with an increased risk of multiple myeloma (MM) due to the contaminant, 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD).
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- - The study aims to create and validate machine learning (ML) models that use natural language processing (NLP) to confirm diagnoses of monoclonal gammopathy of undetermined significance (MGUS) and multiple myeloma (MM) from electronic health records (EHRs) in the Veterans Health Administration.
- - Researchers analyzed 36,044 EHR documents through various ML classifiers and found that the support vector machine (SVM) model performed best, achieving high scores in diagnosing MGUS and MM, with recall rates of 98.8% and 100%, respectively.
- - The NLP-assisted model not only accurately confirmed diagnoses but also closely matched the dates of diagnosis with a high degree of accuracy and has the
Background: Herbicide and pesticide exposure (e.g., agent orange [AO]) is associated with an increased risk of multiple myeloma (MM) due to the contaminant, 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD).
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