AIMC Topic: Knowledge Discovery

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Machine-learning-based knowledge discovery in rheumatoid arthritis-related registry data to identify predictors of persistent pain.

Pain Jan 1, 2020
Early detection of patients with chronic diseases at risk of developing persistent pain is clinically desirable for timely initiation of multimodal therapies. Quality follow-up registries may provide the necessary clinical data; however, their design...
Humans Machine Learning Algorithms Female Sweden Risk Factors Aged Young Adult Adult Male Middle Aged Adolescent Arthritis, Rheumatoid Registries Pain Knowledge Discovery
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Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes.

JCO clinical cancer informatics Sep 1, 2019
PURPOSE: The medical literature relevant to germline genetics is growing exponentially. Clinicians need tools that help to monitor and prioritize the literature to understand the clinical implications of pathogenic genetic variants. We developed and ...
Humans Machine Learning Reproducibility of Results Neoplasms Prevalence ROC Curve Genetic Predisposition to Disease Support Vector Machine Natural Language Processing Polymorphism, Genetic Knowledge Discovery Oncogenes Medicine in Literature
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