Can Machine Learning Improve Screening for Targeted Delinquency Prevention Programs?

Can language-concordant prevention care managers improve cancer screening rates?

OBJECTIVE There is evidence that non-English speakers in the United States receive lower quality health care and preventive services than English speakers. We tested the hypothesis that Spanish-speaking women would respond differently to an intervention to increase up-to-date status for cancer screening. STUDY DESIGN AND SETTING A multisite randomized controlled trial showed that scripted tel...

Book Review: C4.5: Programs for Machine Learning

1. Overview Algorithms for constructing decision trees are among the most well known and widely used of all machine learning methods. Among decision tree algorithms, J. Ross Quinlan's ID3 and its successor, C4.5, are probably the most popular in the machine learning community. These algorithms and variations on them have been the subject of numerous research papers since Quinlan introduced ID3....

How can we really improve screening methods for AD prevention trials?

This edition of Alzheimer’s & Dementia: Translational Research & Clinical Interventions includes an important article from Lutz et al. on the potential advantages of a novel genetics-based risk algorithm (GRBA) for selection of participants in Alzheimer’s disease (AD) prevention trials [1]. The GRBA, described previously [2], has been used to identify subjects for the well-known TOMMORROW trial...

Can targeted transfers improve birth outcomes?

Can Machine Learning Algorithms Improve Phrase Selection in Hybrid Machine Translation?

We describe a substitution-based, hybrid machine translation (MT) system that has been extended with a machine learning component controlling its phrase selection. Our approach is based on a rule-based MT (RBMT) system which creates template translations. Based on the generation parse tree of the RBMT system and standard word alignment computation, we identify potential “translation snippets” f...