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XLabel is an open-source Streamlit app that takes an explainable machine-learning approach to visual-interactive data labeling. Predict the most probable labels using Explainable Boosting Machine (EBM). Show the contributions of each feature towards the predicted labels. Provide an option to write the labels directly into the data file (use XLabel.py) or save them in a separate file (use XLabelDL.py) Support data with multiple labels and multiple classes. Support data with missing values (thanks to EBM) and/or non-numeric categorical features.
Pour la médecine fondée sur les faits (Evidence-Based Medicine (EBM)). La technique PICO pour formuler des questions cliniques. Plate-forme web open source pour supporter la création de PICO, la recherche et l'évaluation d'informations.
LCS is an evidence-based medicine library consult service web application designed to facilitate physicians' use of the research literature. Physicians submit clinical questions to the system, librarians respond, and physicians rate the responses.
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