Probabilistic domain-knowledge modeling of disorder pathogenesis for dynamics forecasting of acute onset
Abstract
Disease pathogenesis, a type of domain knowledge about biological mechanisms leading to diseases, has not been adequately encoded in machine-learning-based medical diagnostic models because of the inter-patient variabilities and complex dependencies of the underlying pathogenetic mechanisms. We propose 1) a novel pathogenesis probabilistic graphical model (PPGM) to quantify the dynamics underpinning patient-specific data and pathogenetic domain...
Paper Details
Title
Probabilistic domain-knowledge modeling of disorder pathogenesis for dynamics forecasting of acute onset
Published Date
May 1, 2021
Volume
115
Pages
102056 - 102056
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