We developed precompiled lexicons and classification rules as features for the following ML classifiers: logistic regression, random forest, and support vector machines (SVMs). These features were ...

Auto-machine learning for opportunistic thyroid nodule detection in lung cancer screening chest CT. Most prevalent entities in top 3 categories in clinical notes. This is an ASCO Meeting Abstract from ...

A novel natural language processing pipeline (NLP) may be able to help expedite the time-consuming process of gleaning this information from summaries. Researchers have developed a rule-based natural ...

Test automation has always been about speed. We measured success by how many tests we ran per minute and celebrated shorter regression cycles. However, we now stand at the edge of the next evolution.