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Publications (4)
6556
Background: Survival prediction models for lung cancer patients could help guide their care and therapy decisions. The objectives of this study were to predict probability of survival beyond 90, 180 and 360 days from any point in a lung cancer patient’s journey. Methods: We developed a Gradient Boosting model (XGBoost) using data from 55k lung...
Research into human dynamical systems has long sought to identify robust
signals for human behavior. We have discovered a series of social network-based
indicators that are reliable predictors of team creativity and collaborative
innovation. We extract these signals from electronic records of interpersonal
interactions, including e-mail, and face-t...