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Exploiting Rules to Enhance Machine Learning in Extracting Information From Multi-Institutional Prostate Pathology Reports.

Enrico SantusTal SchusterAmir M TahmasebiClara LiAdam YalaConor R LanahanPeter PrinsenScott F ThompsonSamuel CoonsLance MynderseRegina BarzilayKevin S Hughes
Published in: JCO clinical cancer informatics (2021)
We developed methods to use pre-existing handcrafted rules to inform ML algorithms. These hybrid systems obtain better performance than either rules or ML models alone, even when training data are limited.
Keyphrases
  • machine learning
  • big data
  • prostate cancer
  • artificial intelligence
  • deep learning
  • electronic health record
  • health information
  • benign prostatic hyperplasia
  • healthcare
  • adverse drug
  • social media